Matthew J. Reno

Distinguished Member of Technical Staff

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Distinguished Member of Technical Staff

mjreno@sandia.gov

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(505) 844-3087

Biography

Matthew Reno is a Distinguished Member of Technical Staff in the Electric Power Systems Research Department at Sandia National Laboratories. His research focuses on distribution system modelling and analysis with high penetration PV, including advanced software tools for automated analysis of hosting capacity, PV interconnection studies, and rapid Quasi-Static Time Series simulations. Matthew is also involved with the IEEE Power System Relaying Committee for developing guides and standards for protection of microgrids and systems with high penetrations of inverter-based resources. He received his Ph.D. in electrical engineering from Georgia Institute of Technology.

Education

  • Ph.D. in Electrical Engineering, Georgia Institute of Technology
  • Masters of Science in Electrical Engineering, Georgia Institute of Technology
  • Bachelors of Science in Electrical Physics, Taylor University

Publications

Matthew Reno, Michael Ropp, Ujjwol Tamrakar, Rachid Darbali-Zamora, Robert Broderick, (2022). Designing Resilient Communities: Hardware demonstration of resilience nodes concept https://doi.org/10.2172/1902867 Publication ID: 80460

Samuel Talkington, Santiago Grijalva, Matthew Reno, Joseph Azzolini, (2022). Solar PV Inverter Reactive Power Disaggregation and Control Setting Estimation IEEE Transactions on Power Systems https://doi.org/10.1109/TPWRS.2022.3144676 Publication ID: 79972

Matthew Reno, Logan Blakely, Rodrigo Trevizan, Bethany Pena, Matthew Lave, Joseph Azzolini, Jubair Yusuf, Christian Jones, Alvaro Furlani Bastos, Rohit Chalamala, Mert Korkali, Chih-Che Sun, Jonathan Donadee, Emma Stewart, Vaibhav Donde, Jouni Peppanen, Miguel Hernandez, Jeremiah Deboever, Celso Rocha, Matthew Rylander, Piyapath Siratarnsophon, Santiago Grijalva, Samuel Talkington, Karl Mason, Sadegh Vejdan, Ahmad Khan, Jordan Mbeleg, Kavya Ashok, Deepak Divan, Feng Li, Francis Therrien, Patrick Jacques, Vittal Rao, Cody Francis, Nicholas Zaragoza, David Nordy, Jim Glass, Derek Holman, Tim Mannon, David Pinney, (2022). IMoFi (Intelligent Model Fidelity): Physics-Based Data-Driven Grid Modeling to Accelerate Accurate PV Integration Updated Accomplishments https://doi.org/10.2172/1888157 Publication ID: 80226

Matthew Reno, Miguel Jimenez Aparicio, Felipe Wilches-Bernal, Javier Hernandez Alvidrez, Armando Montoya, Pedro Barba, Jack Flicker, Andrew Dow, Ali Bidram, Sajay Paruthiyil, Rudy Montoya, Binod Poudel, Benjamin Reimer, Olga Lavrova, Milan Biswal, Frank Miyagishima, Christopher Carr, Shubhasmita Pati, Satish Ranade, Santiago Grijalva, Shuva Paul, (2022). Signal-Based Fast Tripping Protection Schemes for Electric Power Distribution System Resilience https://doi.org/10.2172/1890046 Publication ID: 80280

Matthew Reno, Michael Ropp, (2022). 2022 Peer Review Project Summary: Advanced Protection for Microgrids and DER in Secondary Networks and Meshed Distribution Systems https://doi.org/10.2172/1876951 Publication ID: 80946

Joseph Azzolini, Matthew Reno, (2022). Analysis of Conservation Voltage Reduction under Inverter-Based VAR-Support [Slides] https://doi.org/10.2172/1869506 Publication ID: 80788

Joseph Azzolini, Matthew Reno, (2022). Evaluation of Adaptive Volt-VAR to Mitigate PV Impacts [Slides] https://doi.org/10.2172/1869505 Publication ID: 80789

Joseph Azzolini, Matthew Reno, (2022). Analysis of Reactive Power Load Modeling Techniques for PV Impact Studies [Slides] https://doi.org/10.2172/1869508 Publication ID: 80790

Matthew Reno, Logan Blakely, (2022). AI-Based Protective Relays for Electric Grid Resiliency https://doi.org/10.2172/1844320 Publication ID: 80397

Rudy Montoya, Binod Poudel, Ali Bidram, Matthew Reno, (2022). DC microgrid fault detection using multiresolution analysis of traveling waves International Journal of Electrical Power and Energy Systems https://doi.org/10.1016/j.ijepes.2021.107590 Publication ID: 75524

Zheyuan Cheng, Eric Udren, Juergen Holbach, David Hart, Matthew Reno, Michael Ropp, (2022). Low Voltage Network Protection Utility Workshop (Summary and Next Steps) https://doi.org/10.2172/1844061 Publication ID: 80358

Eric Udren, David Hart, Matthew Reno, Michael Ropp, (2022). Roadmap for Advancement of Low-Voltage Secondary Distribution Network Protection https://doi.org/10.2172/1839187 Publication ID: 79925

Matthew Reno, Logan Blakely, Rodrigo Trevizan, Bethany Pena, Matthew Lave, Joseph Azzolini, Jubair Yusuf, Christian Jones, Alvaro Furlani Bastos, Rohit Chalamala, Mert Korkali, Chih-Che Sun, Jonathan Donadee, Emma Stewart, Vaibhav Donde, Jouni Peppanen, Miguel Hernandez, Jeremiah Deboever, Celso Rocha, Matthew Rylander, Piyapath Siratarnsophon, Santiago Grijalva, Samuel Talkington, Cristian Gomez-Peces, Karl Mason, Sadegh Vejdan, Ahmad Khan, Jordan Mbeleg, Kavya Ashok, Deepak Divan, Feng Li, Francis Therrien, Patrick Jacques, Vittal Rao, Cody Francis, Nicholas Zaragoza, David Nordy, Jim Glass, (2022). IMoFi – Intelligent Model Fidelity: Physics-Based Data-Driven Grid Modeling to Accelerate Accurate PV Integration (Final Report) https://doi.org/10.2172/1855058 Publication ID: 79926

Adam Summers, Trupal Patel, Ronald Matthews, Matthew Reno, (2022). Prediction of Relay Settings in an Adaptive Protection System 2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022 https://doi.org/10.1109/ISGT50606.2022.9817483 Publication ID: 75428

Binod Poudel, Ali Bidram, Matthew Reno, Adam Summers, (2022). Zonal Machine Learning-Based Protection for Distribution Systems IEEE Access https://doi.org/10.1109/ACCESS.2022.3184865 Publication ID: 80843

Samuel Ojetola, Matthew Reno, Jack Flicker, Daniel Bauer, David Stoltzfuz, (2022). Testing Machine Learned Fault Detection and Classification on a DC Microgrid 2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022 https://doi.org/10.1109/ISGT50606.2022.9817517 Publication ID: 75724

Christian Jones, Marios Theristis, Rachid Darbali-Zamora, Michael Ropp, Matthew Reno, (2022). Switch Location Identification for Integrating a Distant Photovoltaic Array Into a Microgrid IEEE Access https://doi.org/10.1109/ACCESS.2022.3177143 Publication ID: 80109

Felipe Wilches-Bernal, Miguel Jimenez Aparicio, Matthew Reno, (2021). A Machine Learning-based Method using the Dynamic Mode Decomposition for Fault Location and Classification https://doi.org/10.1109/ISGT50606.2022.9817543 Publication ID: 77015

Matthew Reno, (2021). IMoFi – Intelligent Model Fidelity: Physics-Based Data-Driven Grid Modeling to Accelerate Accurate PV Integration https://www.osti.gov/servlets/purl/1899653 Publication ID: 76832

Matthew Reno, Christian Jones, Samuel Ojetola, (2021). Machine Learning Based Fault Detection And Location In Electric Power Distribution Systems https://doi.org/10.2172/1887044 Publication ID: 75599

Jay Johnson, Matthew Reno, Rachid Darbali-Zamora, Adam Summers, (2021). Power Hardware-in-the-Loop Research at Sandia National Laboratories: Devices-to-Systems https://doi.org/10.2172/1881705 Publication ID: 79705

Cristian Gomez-Peces, Santiago Grijalva, Matthew Reno, Logan Blakely, (2021). Estimation of PV Location based on Voltage Sensitivities in Distribution Systems with Discrete Voltage Regulation Equipment 2021 IEEE Madrid PowerTech, PowerTech 2021 – Conference Proceedings https://www.osti.gov/servlets/purl/1830987 Publication ID: 71669

Rachid Darbali-Zamora, Nicholas Gurule, Javier Hernandez-Alvidrez, Sigifredo Gonzalez, Matthew Reno, (2021). Performance of a Grid-Forming Inverter under Balanced and Unbalanced Voltage Phase Angle Jump Conditions Conference Record of the IEEE Photovoltaic Specialists Conference https://doi.org/10.1109/PVSC43889.2021.9518539 Publication ID: 75170

Joseph Azzolini, Matthew Reno, (2021). The Effects of Inverter Clipping and Curtailment-Inducing Grid Support Functions on PV Planning Decisions Conference Record of the IEEE Photovoltaic Specialists Conference https://doi.org/10.2172/1877515 Publication ID: 79048

Rodrigo Trevizan, Matthew Reno, (2021). Distribution System State Estimation Sensitivity to Errors in Phase Connections Conference Record of the IEEE Photovoltaic Specialists Conference https://doi.org/10.1109/PVSC43889.2021.9518900 Publication ID: 78809

Adam Summers, Ronald Matthews, Trupal Patel, Matthew Reno, (2021). Power System Protection Parameter Sensitivity Analysis with Integrated Inverter Based Resources https://doi.org/10.1109/PVSC43889.2021.9518534 Publication ID: 78863

Rodrigo Trevizan, Matthew Reno, (2021). Distribution System State Estimation Sensitivity to Errors in Phase Connections https://doi.org/10.2172/1873260 Publication ID: 78867

Javier Hernandez Alvidrez, Nicholas Gurule, Rachid Darbali-Zamora, Matthew Reno, Jack Flicker, (2021). Modeling a Grid-Forming Inverter Dynamics Under Ground Fault Scenarios Using Experimental Data From Commercially Available Equipment https://www.osti.gov/servlets/purl/1889594 Publication ID: 78904

Nicholas Gurule, Joseph Azzolini, Rachid Darbali-Zamora, Matthew Reno, (2021). Impact of Grid Support Functionality on PV Inverter Response to Faults https://www.osti.gov/servlets/purl/1877516 Publication ID: 78905

Nicholas Gurule, Joseph Azzolini, Rachid Darbali-Zamora, Matthew Reno, (2021). Impact of Grid Support Functionality on PV Inverter Response to Faults https://doi.org/10.2172/1876999 Publication ID: 78906

Rachid Darbali-Zamora, Nicholas Gurule, Javier Hernandez Alvidrez, Sigifredo Gonzalez, Matthew Reno, (2021). Performance of a Grid-Forming Inverter Under Balanced and Unbalanced Voltage Phase Angle Jump Conditions https://doi.org/10.1109/PVSC43889.2021.9518539 Publication ID: 78937

Javier Hernandez Alvidrez, Nicholas Gurule, Rachid Darbali-Zamora, Matthew Reno, Jack Flicker, (2021). Modeling Grid-Forming Inverter Dynamics Under Ground Fault Scenarios Using Experimental Data From Commercially Available Equipment https://doi.org/10.2172/1876602 Publication ID: 78974

Joseph Azzolini, Matthew Reno, (2021). The Effects of Inverter Clipping and Curtailment-Inducing Grid Support Functions on PV Planning Decisions https://doi.org/10.1109/PVSC43889.2021.9518416 Publication ID: 79049

Joseph Azzolini, Matthew Reno, (2021). Impact of Load Allocation and High Penetration PV Modeling on QSTS-Based Curtailment Studies https://doi.org/10.2172/1875030 Publication ID: 79054

Matthew Reno, (2021). Machine Learning of Distribution System Planning Models https://doi.org/10.2172/1876595 Publication ID: 79088

Matthew Reno, (2021). Controls and Fault Response of Inverter-Based Resources https://doi.org/10.2172/1884450 Publication ID: 79089

Brooke Garcia, Matthew Reno, Robert Broderick, Robert Jeffers, (2021). GMLC DRC Webinar – Full Set https://doi.org/10.2172/1866906 Publication ID: 78347

Matthew Reno, Sukumar Brahma, Ali Bidram, Michael Ropp, (2021). Influence of Inverter-Based Resources on Microgrid Protection: Part 1: Microgrids in Radial Distribution Systems IEEE Power and Energy Magazine https://doi.org/10.1109/mpe.2021.3057951 Publication ID: 80571

Trupal Patel, Phani Gadde, Sukumar Brahma, Javier Hernandez Alvidrez, Matthew Reno, (2021). Real-time Microgrid Test Bed for Protection and Resiliency Studies 2020 52nd North American Power Symposium, NAPS 2020 https://www.osti.gov/servlets/purl/1805333 Publication ID: 73953

Binod Poudel, Daniel Garcia, Ali Bidram, Matthew Reno, Adam Summers, (2021). Circuit Topology Estimation in an Adaptive Protection System 2020 52nd North American Power Symposium, NAPS 2020 https://www.osti.gov/servlets/purl/1805338 Publication ID: 73958

Logan Blakely, Matthew Reno, (2021). Identification and Correction of Errors in Pairing AMI Meters and Transformers 2021 IEEE Power and Energy Conference at Illinois, PECI 2021 https://doi.org/10.1109/PECI51586.2021.9435274 Publication ID: 77343

Logan Blakely, Bethany Pena, Matthew Reno, (2021). Parameter Tuning Analysis for Phase Identification Algorithms in Distribution System Model Calibration https://doi.org/10.2172/1864135 Publication ID: 78163

Cody Francis, Vittal Rao, Rodrigo Trevizan, Matthew Reno, (2021). Topology Identification of Power Distribution Systems Using Time Series of Voltage Measurements 2021 IEEE Power and Energy Conference at Illinois, PECI 2021 https://doi.org/10.1109/PECI51586.2021.9435253 Publication ID: 77967

Binod Poudel, Daniel Garcia, Ali Bidram, Matthew Reno, Adam Summers, (2021). Circuit Topology Estimation in an Adaptive Protection System https://doi.org/10.2172/1862901 Publication ID: 77999

Robert Broderick, Matthew Reno, Matthew Lave, Joseph Azzolini, Logan Blakely, Jason Galtieri, Barry Mather, Andrew Weekley, Randolph Hunsberger, Manohar Chamana, Qinmiao Li, Wenqi Zhang, Aadil Latif, Xiangqi Zhu, Santiago Grijalva, Xiaochen Zhang, Jeremiah Deboever, Muhammad Qureshi, Francis Therrien, Jean-Sebastien Lacroix, Feng Li, Marc Belletête, Guillaume Hébert, Davis Montenegro, Roger Dugan, (2021). Rapid QSTS Simulations for High-Resolution Comprehensive Assessment of Distributed PV https://doi.org/10.2172/1773234 Publication ID: 77507

Logan Blakely, Matthew Reno, Christian Jones, Alvaro Furlani Bastos, David Nordy, (2021). Leveraging Additional Sensors for Phase Identification in Systems with Voltage Regulators https://doi.org/10.1109/PECI51586.2021.9435242 Publication ID: 77342

Jouni Peppanen, Miguel Hernandez, Jeremiah Deboever, Matthew Rylander, Matthew Reno, (2021). Distribution Load Modeling – Survey of the Industry State, Current Practices and Future Needs 2021 North American Power Symposium, NAPS 2021 https://www.osti.gov/servlets/purl/1831374 Publication ID: 71728

Bethany Pena, Logan Blakely, Matthew Reno, (2021). Parameter tuning analysis for phase identification algorithms in distribution system model calibration 2021 IEEE Kansas Power and Energy Conference, KPEC 2021 https://www.osti.gov/servlets/purl/1863873 Publication ID: 78140

Felipe Wilches-Bernal, Matthew Reno, Javier Hernandez Alvidrez, (2021). A Dynamic Mode Decomposition Scheme to Analyze Power Quality Events IEEE Access https://doi.org/10.1109/ACCESS.2021.3078068 Publication ID: 78664

Felipe Wilches-Bernal, Ali Bidram, Matthew Reno, Javier Hernandez Alvidrez, Pedro Barba, Benjamin Reimer, Rudy Montoya, Christopher Carr, Olga Lavrova, (2021). A Survey of Traveling Wave Protection Schemes in Electric Power Systems IEEE Access https://doi.org/10.1109/ACCESS.2021.3080234 Publication ID: 78665

Samuel Talkington, Santiago Grijalva, Matthew Reno, Joseph Azzolini, (2021). Recovering Power Factor Control Settings of Solar PV Inverters from Net Load Data 2021 North American Power Symposium, NAPS 2021 https://doi.org/10.1109/NAPS52732.2021.9654671 Publication ID: 76158

Sajay Paruthiyil, Rudy Montoya, Ali Bidram, Matthew Reno, (2021). A Numerical Method for Fault Location in DC Systems Using Traveling Waves 2021 North American Power Symposium, NAPS 2021 https://doi.org/10.1109/NAPS52732.2021.9654771 Publication ID: 76159

Frank Miyagishima, Sijo Augustine, Olga Lavrova, Hamed Nademi, Satish Ranade, Matthew Reno, (2021). Maximum Power Point Tracking and Voltage Control in a Solar-PV based DC Microgrid Using Simulink 2021 North American Power Symposium, NAPS 2021 https://doi.org/10.1109/NAPS52732.2021.9654783 Publication ID: 76160

Miguel Aparicio, Santiago Grijalva, Matthew Reno, (2021). Fast fault location method for a distribution system with high penetration of PV Proceedings of the Annual Hawaii International Conference on System Sciences https://www.osti.gov/servlets/purl/1809198 Publication ID: 74138

Joseph Azzolini, Matthew Reno, (2021). Impact of Load Allocation and High Penetration PV Modeling on QSTS-Based Curtailment Studies IEEE Power and Energy Society General Meeting https://www.osti.gov/servlets/purl/1899667 Publication ID: 76746

Ronald Matthews JR, Adam Summers, Matthew Reno, (2021). An Algorithm for Placement of Directional and Nondirectional Protection Elements in a Fully Protected Network https://www.osti.gov/servlets/purl/1854667 Publication ID: 74993

Shamina Hossain-McKenzie, Matthew Reno, Russell Bent, Adrian Chavez, (2020). Cybersecurity of Networked Microgrids: Challenges Potential Solutions and Future Directions https://doi.org/10.2172/1738879 Publication ID: 72203

Matthew Reno, Logan Blakely, (2020). Data-Driven Calibration of Electric Power Distribution System Models https://www.osti.gov/servlets/purl/1824735 Publication ID: 71107

Joseph Azzolini, Matthew Reno, Kelsey Horowitz, (2020). Evaluation of curtailment associated with PV system design considerations IEEE Power and Energy Society General Meeting https://www.osti.gov/servlets/purl/1808785 Publication ID: 74109

Logan Blakely, Matthew Reno, (2020). Identifying errors in service transformer connections IEEE Power and Energy Society General Meeting https://www.osti.gov/servlets/purl/1643233 Publication ID: 66178

Logan Blakely, Matthew Reno, (2020). Phase identification using co-association matrix ensemble clustering IET Smart Grid https://doi.org/10.1049/iet-stg.2019.0280 Publication ID: 73605

Benjamin Reimer, Tohid Khalili, Ali Bidram, Matthew Reno, Ronald Matthews, (2020). Optimal Protection Relay Placement in Microgrids 2020 IEEE Kansas Power and Energy Conference, KPEC 2020 https://www.osti.gov/servlets/purl/1771268 Publication ID: 73059

Javier Hernandez, Nicholas Gurule, Matthew Reno, Jack Flicker, Adam Summers, Abraham Ellis, (2020). Method to Interface Grid-Forming Inverters into Power Hardware in the Loop Setups https://www.osti.gov/servlets/purl/1807390 Publication ID: 73741

Javier Hernandez, Nicholas Gurule, Matthew Reno, Jack Flicker, Adam Summers, Abraham Ellis, (2020). Method to Interface Grid-Forming Inverters into Power Hardware in the Loop Setups https://www.osti.gov/servlets/purl/1807393 Publication ID: 73744

Santiago Grijalva, Ahmad Khan, Matthew Reno, Logan Blakely, (2020). Estimation of PV Location in Distribution Systems based on Voltage Sensitivities https://www.osti.gov/servlets/purl/1798058 Publication ID: 73808

Rachid Darbali-Zamora, Jay Johnson, Matthew Reno, Nicholas Gurule, Nayeem Ninad, Estefan Apablaza-Arancibia, (2020). Evaluation of Photovoltaic Inverters Under Balanced and Unbalanced Votlage Phase Angle Jump Conditions https://www.osti.gov/servlets/purl/1807348 Publication ID: 73694

Rachid Darbali-Zamora, Jay Johnson, Matthew Reno, Nicholas Gurule, Nayeem Ninad, Estefan Apablaza-Arancibia, (2020). Evaluation of Photovoltaic Inverters Under Balanced and Unbalanced Votlage Phase Angle Jump Conditions https://www.osti.gov/servlets/purl/1807349 Publication ID: 73695

Nicholas Gurule, Javier Hernandez Alvidrez, Rachid Darbali-Zamora, Matthew Reno, Jack Flicker, (2020). Experimental Evaluation of Grid-Forming Inverters Under Unbalanced and Fault Conditions https://www.osti.gov/servlets/purl/1783655 Publication ID: 73536

Sijo Augustine, Matthew Reno, Sukumar Brahma, Olga Lavrova, (2020). Fault Current Control and Protection in a Standalone DC Microgrid Using Adaptive Droop and Current Derivative IEEE Journal of Emerging and Selected Topics in Power Electronics https://doi.org/10.1109/jestpe.2020.2984609 Publication ID: 80584

Trupal Patel, Sukumar Brahma, Javier Hernandez Alvidrez, Matthew Reno, (2020). Adaptive Protection Scheme for a Real-World Microgrid with 100% Inverter-Based Resources https://www.osti.gov/servlets/purl/1771928 Publication ID: 73085

Piyapath Siratarnsophon, Miguel Hernandez, Jouni Peppanen, Jeremiah Deboever, Matthew Rylander, Matthew Reno, (2020). Improved Load Modelling for Emerging Distribution System Assessments https://www.osti.gov/servlets/purl/1772192 Publication ID: 73097

Matthew Reno, (2020). Physics-Based Data-Driven Grid Modelling to Accelerate Accurate PV Integration https://www.osti.gov/servlets/purl/1767402 Publication ID: 72711

Matthew Reno, (2020). Adaptive Protection and Control for High Penetration PV and Grid Resilience https://www.osti.gov/servlets/purl/1767377 Publication ID: 72726

Dimitrios Sikeridis, Ali Bidram, Michael Devetsikiotis, Matthew Reno, (2020). A blockchain-based mechanism for secure data exchange in smart grid protection systems 2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020 https://doi.org/10.1109/CCNC46108.2020.9045368 Publication ID: 68583

Matthew Reno, (2019). Advanced Protection Schemes for Microgrids https://www.osti.gov/biblio/1646405 Publication ID: 66625

Ronald Matthews, Matthew Reno, Adam Summers, (2019). A graph theory method for identification of a minimum breakpoint set for directional relay coordination Electronics (Switzerland) https://doi.org/10.3390/electronics8121376 Publication ID: 65458

Matthew Reno, (2019). Advanced Protection for Inverter-Based Systems https://www.osti.gov/servlets/purl/1646214 Publication ID: 66122

Javier Hernandez, Nicholas Gurule, Adam Summers, Matthew Reno, Jack Flicker, Abraham Ellis, (2019). Method to Interface Grid-Forming Inverters into Power Hardware in the Loop https://www.osti.gov/servlets/purl/1643258 Publication ID: 66247

Joseph Azzolini, Matthew Reno, Kelsey Horowitz, (2019). Evaluation of Curtailment Associated with PV System Design Considerations https://www.osti.gov/servlets/purl/1643267 Publication ID: 66264

Kavya Ashok, Matthew Reno, Logan Blakely, Deepak Divan, (2019). Systematic Study of Data Requirements and AMI Capabilities for Smart Meter Analytics Proceedings of 2019 the 7th International Conference on Smart Energy Grid Engineering, SEGE 2019 https://doi.org/10.1109/SEGE.2019.8859916 Publication ID: 68664

Ronald Matthews, Shamina Hossain-McKenzie, Matthew Reno, (2019). Fault Current Correction Strategies for Effective Fault Location in Inverter-Based Systems https://www.osti.gov/servlets/purl/1641160 Publication ID: 69727

Matthew Lave, Matthew Reno, Jouni Peppanen, (2019). Distribution System Parameter and Topology Estimation Applied to Resolve Low-Voltage Circuits on Three Real Distribution Feeders IEEE Transactions on Sustainable Energy https://doi.org/10.1109/TSTE.2019.2917679 Publication ID: 63413

Javier Hernandez Alvidrez, Adam Summers, Matthew Reno, Jack Flicker, Nataraj Pragallapati, (2019). Simulation of Grid-Forming Inverter Dynamic Models using a Power Hardware-in-the-Loop Testbed https://www.osti.gov/servlets/purl/1640955 Publication ID: 69393

Nicholas Gurule, Javier Hernandez Alvidrez, Matthew Reno, Adam Summers, Sigifredo Gonzalez, Jack Flicker, (2019). Grid-forming Inverter Experimental Testing of Fault Current Contributions https://doi.org/10.1109/PVSC40753.2019.8980892 Publication ID: 69394

Javier Hernandez Alvidrez, Adam Summers, Matthew Reno, Jack Flicker, (2019). Simulation of Grid-Forming Inverters (GFMIs) Dynamic Models using a Power Hardware-in-the-Loop Testbed https://www.osti.gov/servlets/purl/1640965 Publication ID: 69411

Ronald Matthews JR, Shamina Hossain-McKenzie, Matthew Reno, (2019). Fault Current Correction Strategies for Effective Fault Location in Inverter-Based Systems https://doi.org/10.1109/PVSC40753.2019.8980536 Publication ID: 69414

Adam Summers, Javier Hernandez Alvidrez, Rachid Darbali-Zamora, Matthew Reno, Jay Johnson, Nicholas Gurule, (2019). Comparison of Ideal Transformer Method and Damping Impedance Method for PV Power-Hardware-In-The-Loop Experiments https://doi.org/10.1109/PVSC40753.2019.8980690 Publication ID: 69163

Logan Blakely, Matthew Reno, Jouni Peppanen, (2019). Identifying Common Errors in Distribution System Models https://doi.org/10.1109/PVSC40753.2019.8980833 Publication ID: 69178

Rachid Darbali-Zamora, Javier Hernandez Alvidrez, Adam Summers, Nicholas Gurule, Matthew Reno, Jay Johnson, (2019). Distribution Feeder Fault Comparison Utilizing a Real-Time Power Hardware-in-the-Loop Approach for Photovoltaic System Applications Conference Record of the IEEE Photovoltaic Specialists Conference https://doi.org/10.1109/PVSC40753.2019.8980944 Publication ID: 69198

Rachid Darbali-Zamora, Javier Hernandez Alvidrez, Adam Summers, Nicholas Gurule, Matthew Reno, Jay Johnson, (2019). Distribution Feeder Fault Comparison Utilizing a Real-Time Power Hardware-in-the-Loop Approach for Photovoltaic System Applications https://doi.org/10.1109/PVSC40753.2019.8980944 Publication ID: 69206

Joseph Azzolini, Matthew Reno, Matthew Lave, (2019). Visualization Methods for Quasi-Static Time-Series (QSTS) Simulations with High PV Penetration https://doi.org/10.1109/PVSC40753.2019.8980550 Publication ID: 69208

Joseph Azzolini, Matthew Reno, Davis Montenegro, (2019). Implementation of Temporal Parallelization for Rapid Quasi-Static Time-Series (QSTS) Simulations https://doi.org/10.1109/PVSC40753.2019.8980591 Publication ID: 69237

Joseph Azzolini, Matthew Reno, Davis Montenegro, (2019). Implementation of Temporal Parallelization for Rapid Quasi-Static Time-Series (QSTS) Simulations https://doi.org/10.1109/PVSC40753.2019.8980591 Publication ID: 69243

Nicholas Gurule, Javier Hernandez Alvidrez, Matthew Reno, Adam Summers, Sigifredo Gonzalez, Jack Flicker, (2019). Grid-forming Inverter Experimental Testing of Fault Current Contributions https://doi.org/10.1109/PVSC40753.2019.8980892 Publication ID: 69331

Joseph Azzolini, Matthew Reno, Matthew Lave, (2019). Visualization Methods for Quasi-Static Time-Series (QSTS) Simulations with High PV Penetration https://doi.org/10.1109/PVSC40753.2019.8980550 Publication ID: 69082

Matthew Reno, (2019). Advanced Protection Schemes for Microgrids https://www.osti.gov/servlets/purl/1645396 Publication ID: 69083

Adam Summers, Javier Hernandez Alvidrez, Rachid Darbali-Zamora, Matthew Reno, Jay Johnson, Nicholas Gurule, (2019). Comparison of Ideal Transformer Method and Damping Impedance Method for PV Power-Hardware-In-The-Loop Experiments https://doi.org/10.1109/PVSC40753.2019.8980690 Publication ID: 69084

Sijo Augustine, Sukumar Brahma, Matthew Reno, (2019). Fault Current Control for DC Microgrid Protection Using an Adaptive Droop IEEE International Symposium on Industrial Electronics https://doi.org/10.1109/ISIE.2019.8781462 Publication ID: 68323

Logan Blakely, Matthew Reno, Jouni Peppanen, (2019). Identifying Common Errors in Distribution System Models https://doi.org/10.1109/PVSC40753.2019.8980833 Publication ID: 69112

Logan Blakely, Matthew Reno, Kavya Ashok, (2019). AMI Data Quality and Collection Method Considerations for Improving the Accuracy of Distribution Models https://doi.org/10.1109/PVSC40753.2019.8981211 Publication ID: 69118

Logan Blakely, Matthew Reno, Kavya Ashok, (2019). AMI Data Quality and Collection Method Considerations for Improving the Accuracy of Distribution Models https://doi.org/10.1109/PVSC40753.2019.8981211 Publication ID: 69119

Matthew Reno, Ben Ollis, (2019). Networked Microgrids: System Protection Constraints https://www.osti.gov/servlets/purl/1645370 Publication ID: 68896

Matthew Reno, (2019). Advanced Protection for Inverter-Based Systems https://www.osti.gov/servlets/purl/1640095 Publication ID: 68654

Logan Blakely, Matthew Reno, Wu Feng, (2019). Spectral Clustering for Customer Phase Identification Using AMI Voltage Timeseries 2019 IEEE Power and Energy Conference at Illinois, PECI 2019 https://doi.org/10.1109/PECI.2019.8698780 Publication ID: 67140

Logan Blakely, Matthew Reno, (2019). Spectral Clustering for Customer Phase Identification Using AMI Voltage Timeseries Presentation https://www.osti.gov/servlets/purl/1602947 Publication ID: 67213

Matthew Reno, Robert Broderick, (2019). Optimal Siting of PV on the Distribution System with Smart Inverters https://doi.org/10.1109/PVSC.2018.8547667 Publication ID: 64415

Matthew Reno, (2018). Networked Microgrids: System Protection Constraints https://www.osti.gov/servlets/purl/1807004 Publication ID: 60549

Jeremiah Deboever, Santiago Grijalva, Matthew Reno, Robert Broderick, (2018). Algorithms to Effectively Quantize Scenarios for PV Impact Analysis using QSTS Simulation 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 – A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC https://doi.org/10.1109/PVSC.2018.8548292 Publication ID: 62491

Muhammad Qureshi, Santiago Grijalva, Matthew Reno, (2018). A Fast Quasi-Static Time Series Simulation Method for PV Smart Inverters with VAR Control using Linear Sensitivity Model 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 – A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC https://doi.org/10.1109/PVSC.2018.8547439 Publication ID: 61741

Javier Hernandez-Alvidrez, Adam Summers, Nataraj Pragallapati, Matthew Reno, Satish Ranade, Jay Johnson, Sukumar Brahma, Jimmy Quiroz, (2018). PV-Inverter Dynamic Model Validation and Comparison under Fault Scenarios Using a Power Hardware-in-the-Loop Testbed 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 – A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC https://www.osti.gov/servlets/purl/1526425 Publication ID: 62561

Matthew Reno, Robert Broderick, (2018). Optimal Siting of PV on the Distribution System with Smart Inverters 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 – A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC https://doi.org/10.1109/PVSC.2018.8547667 Publication ID: 62566

Matthew Reno, Joseph Azzolini, Barry Mather, (2018). Variable Time-Step Implementation for Rapid Quasi-Static Time-Series (QSTS) Simulations of Distributed PV 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 – A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC https://doi.org/10.1109/PVSC.2018.8547744 Publication ID: 62593

Sigifredo Gonzalez, Nicholas Gurule, Matthew Reno, Jay Johnson, (2018). Fault Current Experimental Results of Photovoltaic Inverters Operating with Grid-Support Functionality 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 – A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC https://doi.org/10.1109/PVSC.2018.8547449 Publication ID: 62440

Logan Blakely, Matthew Reno, (2018). Spectral Clustering for Phase Identification https://www.osti.gov/servlets/purl/1592348 Publication ID: 59986

Matthew Reno, (2018). Distributed Energy Resources (DER) Interconnection Impacts and Research https://www.osti.gov/servlets/purl/1806981 Publication ID: 60249

Logan Blakely, Matthew Reno, Wu-chi Feng, (2018). Spectral Clustering for Identification of Electrical Phase Using Advanced Metering Infrastructure Voltage Time-series https://doi.org/10.15760/etd.6567 Publication ID: 60268

Matthew Lave, Matthew Reno, Jouni Peppanen, (2018). Parameter and Topology Estimation using Utility AMI Data https://www.osti.gov/servlets/purl/1581922 Publication ID: 63629

Matthew Reno, (2018). Protection – How can we detect faults in a 100% inverter-based system https://www.osti.gov/servlets/purl/1581929 Publication ID: 63696

Sijo Augustine, Jimmy Quiroz, Matthew Reno, Sukumar Brahma, (2018). DC Microgrid Protection: Review and Challenges https://doi.org/10.2172/1465634 Publication ID: 63697

Logan Blakely, Matthew Reno, Robert Broderick, (2018). Decision tree ensemble machine learning for rapid QSTS simulations 2018 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2018 https://doi.org/10.1109/ISGT.2018.8403323 Publication ID: 53134

Jeremiah Deboever, Santiago Grijalva, Matthew Reno, Robert Broderick, (2018). Algorithms to Effectively Quantize Scenarios for PV Impact Analysis using QSTS Simulation https://doi.org/10.1109/PVSC.2018.8548292 Publication ID: 62492

Muhammad Qureshi, Santiago Grijalva, Matthew Reno, (2018). A Fast Quasi-Static Time Series Simulation Method for PV Smart Inverters with Var Control using Linear Sensitivity Model https://doi.org/10.1109/PVSC.2018.8547439 Publication ID: 62524

Javier Alvidrez, Adam Summers, Nataraj Pragallapati, Matthew Reno, Satish Ranade, Jay Johnson, Sukumar Brahma, Jimmy Quiroz, (2018). PV-Inverter Dynamic Model Validation and Comparison Under Fault Scenarios Using a Power Hardware-in-the-Loop Testbed https://www.osti.gov/servlets/purl/1526428 Publication ID: 62564

Matthew Reno, Joseph Azzolini, Barry Mather, (2018). Variable Time-Step Implementation for Rapid Quasi-Static Time-Series (QSTS) Simulations of Distributed PV https://doi.org/10.1109/PVSC.2018.8547744 Publication ID: 62595

Matthew Lave, Matthew Reno, (2018). Implementation of Synthetic Cloud Fields for PV Modeling in Distribution Grid Simulations https://www.osti.gov/servlets/purl/1527078 Publication ID: 62597

Matthew Lave, Matthew Reno, (2018). Implementation of Synthetic Cloud Fields for PV Modeling in Distribution Grid Simulations https://www.osti.gov/servlets/purl/1527079 Publication ID: 62598

Matthew Reno, (2018). Advanced Inverter Planning: Voltage and Protection https://www.osti.gov/servlets/purl/1524267 Publication ID: 61995

Matthew Reno, (2018). Advances in Distribution System Quasi-Static Time-Series (QSTS) Analysis for Studying DER Impacts https://www.osti.gov/servlets/purl/1510573 Publication ID: 61841

Matthew Reno, (2018). Rapid QSTS Simulations for High-Resolution Comprehensive Assessment of Distributed PV https://www.osti.gov/servlets/purl/1507939 Publication ID: 61592

Matthew Reno, (2018). Methods to Rapidly Speed Up QSTS Simulations https://www.osti.gov/servlets/purl/1498643 Publication ID: 60953

Matthew Reno, (2018). Advances in Distribution System Time-Series Analysis for Studying DER Impacts https://www.osti.gov/servlets/purl/1495766 Publication ID: 60715

Logan Blakely, Matthew Reno, Robert Broderick, (2018). Decision Tree Ensemble Machine Learning for Rapid QSTS Simulations https://doi.org/10.1109/ISGT.2018.8403323 Publication ID: 60733

Matthew Reno, Jeremiah Deboever, Barry Mather, (2018). Motivation and requirements for quasi-static time series (QSTS) for distribution system analysis IEEE Power and Energy Society General Meeting https://doi.org/10.1109/PESGM.2017.8274703 Publication ID: 57421

Jeremiah Deboever, Santiago Grijalva, Matthew Reno, Robert Broderick, (2018). Fast Quasi-Static Time-Series (QSTS) for yearlong PV impact studies using vector quantization Solar Energy https://doi.org/10.1016/j.solener.2017.11.013 Publication ID: 63983

Matthew Reno, (2017). Advanced Cyber-secured Protection Schemes for Renewable-rich Microgrids https://www.osti.gov/servlets/purl/1488905 Publication ID: 54737

Jimmy Quiroz, Matthew Reno, Olga Lavrova, Raymond Byrne, (2017). Communication requirements for hierarchical control of volt-VAr function for steady-state voltage 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017 https://doi.org/10.1109/ISGT.2017.8086007 Publication ID: 48311

Matthew Reno, Robert Broderick, (2017). Predetermined time-step solver for rapid quasi-static time series (QSTS) of distribution systems 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017 https://doi.org/10.1109/ISGT.2017.8086045 Publication ID: 48356

Sukumar Brahma, Satish Ranade, Mohamed Elkhatib, Abraham Ellis, Matthew Reno, (2017). Development and Testing of Protection Scheme for Renewable-Rich Distribution System https://doi.org/10.2172/1395757 Publication ID: 53198

Jimmy Quiroz, Matthew Reno, Olga Lavrova, Raymond Byrne, (2017). Communication Requirements for Hierarchical Control of Volt-VAr Function for Steady-State Voltage https://doi.org/10.1109/ISGT.2017.8086007 Publication ID: 58247

Matthew Reno, (2017). PV Grid Integration Using Time-Series Analysis https://www.osti.gov/servlets/purl/1462510 Publication ID: 57422

Matthew Reno, (2017). New Methods for Rapid Time-Series Analysis https://www.osti.gov/servlets/purl/1508221 Publication ID: 57516

Jeremiah Deboever, Santiago Grijalva, Matthew Reno, Xiaochen Zhang, Robert Broderick, (2017). Scalability of the Vector Quantization Approach for Fast QSTS Simulation for PV Impact Studies https://www.osti.gov/servlets/purl/1513610 Publication ID: 57105

Matthew Reno, Robert Broderick, Logan Blakely, (2017). Machine Learning for Rapid QSTS Simulations using Neural Networks https://doi.org/10.1109/PVSC.2017.8366148 Publication ID: 57124

Matthew Lave, Matthew Reno, Robert Broderick, Jouni Peppanen, (2017). Full-Scale Demonstration of Distribution System Parameter Estimation to Improve Low-Voltage Circuit Models https://www.osti.gov/servlets/purl/1456759 Publication ID: 56889

Jeremiah Deboever, Xiaochen Zhang, Matthew Reno, Robert Broderick, Santiago Grijalva, Francis Therrien, (2017). Challenges in reducing the computational time of QSTS simulations for distribution system analysis https://doi.org/10.2172/1367462 Publication ID: 56646

Jason Galtieri, Matthew Reno, (2017). Intelligent Sampling of Periods for Reduced Computational Time of Time Series Analysis of PV Impacts on the Distribution System https://doi.org/10.1109/PVSC.2017.8366394 Publication ID: 56976

Francis Therrien, Marc Belletete, Jean-Sebastien Lacroix, Matthew Reno, (2017). Algorithmic Aspects of a Commercial-Grade Distribution System Load Flow Engine https://www.osti.gov/servlets/purl/1458233 Publication ID: 56738

Jeremiah Deboever, Santiago Grijalva, Matthew Reno, Xiaochen Zhang, Robert Broderick, (2017). Scalability of the Vector Quantization Approach for Fast QSTS Simulation for PV Impact Studies https://www.osti.gov/servlets/purl/1648672 Publication ID: 57021

Xiaochen Zhang, Santiago Grijalva, Matthew Reno, Jeremiah Deboever, Robert Broderick, (2017). A Fast Quasi-Static Time Series (QSTS) Simulation Method for PV Impact Studies Using Voltage Sensitivities of Controllable Elements https://www.osti.gov/servlets/purl/1458237 Publication ID: 56766

Matthew Lave, Matthew Reno, Robert Broderick, Jouni Peppanen, (2017). Full-Scale Demonstration of Distribution System Parameter Estimation to Improve Low-Voltage Circuit Models https://www.osti.gov/servlets/purl/1458238 Publication ID: 56767

Davis Montenegro, Roger Dugan, Matthew Reno, (2017). Open Source Tools for High Performance Quasi-Static-Time-Series Simulation Using Parallel Processing https://www.osti.gov/servlets/purl/1458239 Publication ID: 56768

Matthew Lave, Matthew Reno, Robert Broderick, (2017). Creation and Value of Synthetic High-Frequency Solar Simulations for Distribution System QSTS Simulations https://www.osti.gov/servlets/purl/1459077 Publication ID: 57065

Xiaochen Zhang, Santiago Grijalva, Matthew Reno, Jeremiah Deboever, Robert Broderick, (2017). A Fast Quasi-Static Time Series (QSTS) Simulation Method for PV Impact Studies Using Voltage Sensitivities of Controllable Elements https://www.osti.gov/servlets/purl/1459083 Publication ID: 57071

Jason Galtieri, Matthew Reno, (2017). Intelligent Sampling of Periods for Reduced Computational Time of Time Series Analysis of PV Impacts on the Distribution System https://www.osti.gov/servlets/purl/1456736 Publication ID: 56830

Matthew Reno, Robert Broderick, Logan Blakely, (2017). Machine Learning for Rapid QSTS Simulations using Neural Networks https://www.osti.gov/servlets/purl/1459114 Publication ID: 57087

Matthew Lave, Matthew Reno, Robert Broderick, (2017). Creation and Value of Synthetic High-Frequency Solar Simulations for Distribution System QSTS Simulations https://www.osti.gov/servlets/purl/1458093 Publication ID: 56597

Matthew Reno, Kyle Coogan, John Seuss, Robert Broderick, (2017). Novel Methods to Determine Feeder Locational PV Hosting Capacity and PV Impact Signatures https://doi.org/10.2172/1367426 Publication ID: 56266

John Seuss, Matthew Reno, Robert Broderick, Santiago Grijalva, (2017). Determining the Impact of Steady-State PV Fault Current Injections on Distribution Protection https://doi.org/10.2172/1367427 Publication ID: 56267

Matthew Reno, Robert Broderick, (2017). Predetermined Time-Step Solver for Rapid Quasi-Static Time Series (QSTS) of Distribution Systems https://doi.org/10.1109/ISGT.2017.8086045 Publication ID: 56018

Matthew Reno, (2017). Quasi-Static Time Series (QSTS) Simulations for Distribution System Analysis: Panel Session https://www.osti.gov/servlets/purl/1431692 Publication ID: 56019

Matthew Rylander, Matthew Reno, Jimmy Quiroz, Fei Ding, Huijuan Li, Robert Broderick, Barry Mather, Jeff Smith, (2017). Methods to determine recommended feeder-wide advanced inverter settings for improving distribution system performance 2017 IEEE 44th Photovoltaic Specialist Conference, PVSC 2017 https://doi.org/10.1109/PVSC.2016.7749843 Publication ID: 50132

Jouni Peppanen, Xiaochen Zhang, Santiago Grijalva, Matthew Reno, (2016). Handling bad or missing smart meter data through advanced data imputation 2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016 https://doi.org/10.1109/ISGT.2016.7781213 Publication ID: 48970

Sigifredo Gonzalez, Jay Johnson, Matthew Reno, Timothy Zgonena, (2016). Small commercial inverter laboratory evaluations of UL 1741 SA grid-support function response times Conference Record of the IEEE Photovoltaic Specialists Conference https://doi.org/10.1109/PVSC.2016.7749931 Publication ID: 50365

Matthew Reno, Jimmy Quiroz, Olga Lavrova, Raymond Byrne, (2016). Evaluation of communication requirements for voltage regulation control with advanced inverters NAPS 2016 – 48th North American Power Symposium, Proceedings https://doi.org/10.1109/NAPS.2016.7747903 Publication ID: 50300

Jouni Peppanen, Santiago Grijalva, Matthew Reno, Robert Broderick, (2016). Secondary circuit model creation and validation with AMI and transformer measurements NAPS 2016 – 48th North American Power Symposium, Proceedings https://doi.org/10.1109/NAPS.2016.7747867 Publication ID: 50045

Jouni Peppanen, Santiago Grijalva, Matthew Reno, Robert Broderick, (2016). Secondary circuit model generation using limited PV measurements and parameter estimation IEEE Power and Energy Society General Meeting https://doi.org/10.1109/PESGM.2016.7742006 Publication ID: 51104

Matthew Reno, Robert Broderick, (2016). Statistical analysis of feeder and locational PV hosting capacity for 216 feeders IEEE Power and Energy Society General Meeting https://doi.org/10.1109/PESGM.2016.7741269 Publication ID: 51159

Matthew Reno, Jeremiah Deboever, (2016). Motivation and Requirements for Quasi-Static Time Series (QSTS) for Distribution System Analysis https://doi.org/10.1109/PESGM.2017.8274703 Publication ID: 47761

Olga Lavrova, Matthew Reno, Jimmy Quiroz, Raymond Byrne, Felipe Wilches-Bernal, Ricky Concepcion, (2016). Advanced inverter functions: communication bandwidth and latency considerations https://www.osti.gov/servlets/purl/1395802 Publication ID: 52487

Jouni Peppanen, Matthew Reno, Robert Broderick, Santiago Grijalva, (2016). Secondary Circuit Model Creation and Validation with AMI and Transformer Measurements https://doi.org/10.1109/NAPS.2016.7747867 Publication ID: 52241

Jouni Peppanen, Matthew Reno, Robert Broderick, Santiago Grijalva, (2016). Distribution System Model Calibration with Big Data from AMI and PV Inverters IEEE Transactions on Smart Grid https://doi.org/10.1109/tsg.2016.2531994 Publication ID: 45346

Jeff Smith, Matthew Rylander, Jens Boemer, Robert Broderick, Matthew Reno, Barry Mather, (2016). Analysis to Inform CA Grid Integration Rules for PV: Final Report on Inverter Settings for Transmission and Distribution System Performance https://doi.org/10.2172/1431468 Publication ID: 52292

Jimmy Quiroz, Matthew Reno, (2016). Evaluation of Communication Requirements for Voltage Regulation Control with Advanced Inverters https://www.osti.gov/servlets/purl/1394722 Publication ID: 52311

Jouni Peppanen, Santiago Grijalva, Matthew Reno, Robert Broderick, (2016). Distribution system low-voltage circuit topology estimation using smart metering data Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference https://doi.org/10.1109/TDC.2016.7519985 Publication ID: 45061

Robert Broderick, Karina Munoz-Ramos, Matthew Reno, (2016). Accuracy of clustering as a method to group distribution feeders by PV hosting capacity Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference https://doi.org/10.1109/TDC.2016.7520083 Publication ID: 45514

Jouni Peppanen, Matthew Reno, Santiago Grijalva, Robert Broderick, (2016). Secondary Circuit Model Generation Using Limited PV Measurements and Parameter Estimation https://doi.org/10.1109/PESGM.2016.7742006 Publication ID: 51122

Matthew Reno, (2016). PV Locational Hosting Capacity Analysis https://www.osti.gov/servlets/purl/1372612 Publication ID: 51158

Matthew Lave, Jimmy Quiroz, Matthew Reno, Robert Broderick, (2016). Comparison of High-Frequency Solar Irradiance: Ground Measured vs. Satellite-Derived https://doi.org/10.1109/PVSC.2016.7749784 Publication ID: 50459

Matthew Lave, Jimmy Quiroz, Matthew Reno, Robert Broderick, (2016). Comparison of High-Frequency Solar Irradiance: Ground Measured vs. Satellite-Derived https://doi.org/10.1109/PVSC.2016.7749784 Publication ID: 50460

Matthew Rylander, Matthew Reno, Jimmy Quiroz, Fei Ding, Huijuan Li, Robert Broderick, Barry Mather, Jeff Smith, (2016). Methods to Determine Recommended Feeder-Wide Advanced Inverter Settings for Improving Distribution Performance https://doi.org/10.1109/PVSC.2016.7749843 Publication ID: 50505

Matthew Reno, Matthew Lave, Jimmy Quiroz, Robert Broderick, (2016). PV Ramp Rate Smoothing Using Energy Storage to Mitigate Increased Voltage Regulator Tapping https://doi.org/10.1109/PVSC.2016.7749982 Publication ID: 50514

Matthew Reno, Matthew Lave, Jimmy Quiroz, Robert Broderick, (2016). PV Ramp Rate Smoothing Using Energy Storage to Mitigate Increased Voltage Regulator Tapping https://doi.org/10.1109/PVSC.2016.7749982 Publication ID: 50515

John Seuss, Matthew Reno, Matthew Lave, Robert Broderick, Santiago Grijalva, (2016). Advanced Inverter Controls to Dispatch Distributed PV Systems https://doi.org/10.1109/PVSC.2016.7749842 Publication ID: 50523

Sigifredo Gonzalez, Jay Johnson, Matthew Reno, Timothy Zgonena, (2016). Small Commercial Inverter Laboratory Evaluations of UL 1741 SA Grid-Support Function Response Times https://doi.org/10.1109/PVSC.2016.7749931 Publication ID: 50414

Matthew Reno, Clifford Hansen, (2016). Identification of periods of clear sky irradiance in time series of GHI measurements Renewable Energy https://doi.org/10.1016/j.renene.2015.12.031 Publication ID: 42041

Robert Broderick, Matthew Reno, (2016). Accelerating Solar Deployment on the Distribution Grid: Rapid QSTS Simulations for comprehensive assessment of distributed PV https://www.osti.gov/servlets/purl/1422083 Publication ID: 50042

Robert Broderick, Matthew Reno, Karina Munoz-Ramos, (2016). Accuracy of Clustering as a Method to Group Distribution Feeders by PV Hosting Capacity https://doi.org/10.1109/TDC.2016.7520083 Publication ID: 50043

Matthew Reno, (2016). Advanced Inverter Functions and Control of DER https://www.osti.gov/servlets/purl/1428027 Publication ID: 50044

Matthew Reno, (2016). QSTS Progress Meeting https://www.osti.gov/servlets/purl/1367061 Publication ID: 49858

Matthew Reno, (2016). GT Visit: Advanced Inverter Functions and Control of DER https://www.osti.gov/servlets/purl/1514485 Publication ID: 49859

Matthew Reno, Robert Broderick, Karina Munoz-Ramos, (2016). Accuracy of Clustering as a Method to Group Distribution Feeders by PV Hosting Capacity https://www.osti.gov/servlets/purl/1367062 Publication ID: 49860

John Seuss, Matthew Reno, Robert Broderick, Santiago Grijalva, (2016). Analysis of PV Advanced Inverter Functions and Setpoints under Time Series Simulation https://doi.org/10.2172/1259558 Publication ID: 50130

John Seuss, Matthew Reno, Matthew Lave, Robert Broderick, Santiago Grijalva, (2016). Advanced Inverter Controls to Dispatch Distributed PV Systems https://doi.org/10.1109/PVSC.2016.7749842 Publication ID: 50133

Jouni Peppanen, Matthew Reno, Santiago Grijalva, Robert Broderick, (2016). Distribution System Low-Voltage Circuit Topology Estimation using Smart Metering Data https://doi.org/10.1109/TDC.2016.7519985 Publication ID: 49592

Jouni Peppanen, Matthew Reno, Santiago Grijalva, Robert Broderick, (2016). Distribution System Low-Voltage Circuit Topology Estimation using Smart Metering Data https://doi.org/10.1109/TDC.2016.7519985 Publication ID: 49593

Matthew Reno, Robert Broderick, (2016). Kickoff: Vermont Regional Partnership Enabling the use of DER https://www.osti.gov/servlets/purl/1514457 Publication ID: 49644

Matthew Reno, Robert Broderick, (2016). Kickoff: Vermont Regional Partnership Enabling the use of DER https://www.osti.gov/servlets/purl/1514458 Publication ID: 49645

Matthew Reno, Robert Broderick, (2016). Kickoff: Vermont Regional Partnership Enabling the use of DER https://www.osti.gov/servlets/purl/1514459 Publication ID: 49646

Matthew Reno, Robert Broderick, (2016). Kickoff: Vermont Regional Partnership Enabling the use of DER https://www.osti.gov/servlets/purl/1514460 Publication ID: 49647

Matthew Reno, Robert Broderick, (2016). Accelerating Solar Deployment on the Distribution Grid and Developing Enhanced Grid Operation and Control Strategies https://www.osti.gov/servlets/purl/1618226 Publication ID: 49158

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