Joseph A. Azzolini
Senior Member of Technical Staff
Biography
Joe Azzolini is a Senior Member of the Technical Staff in the Electric Power Systems Research Department at Sandia National Laboratories. He holds a Ph.D. in Electrical Engineering from Arizona State University with a specialization in Electric Power and Energy Systems and has 8+ years of power system project experience through various roles in academia and industry. His research interests and expertise include solar photovoltaic (PV) system modeling, distribution system modeling, and applying Quasi-Static Time-Series (QSTS) simulations to study the integration of high PV penetrations and other inverter-based distributed energy resources.
Education
- Ph.D., Electrical Engineering, Specialization in Electric Power and Energy Systems, Arizona State University, 2020
- M.S., Electrical Engineering, Specialization in Electric Power and Energy Systems, Arizona State University, 2017
- B.S., Electrical Engineering, The College of New Jersey, 2015
Publications
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
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, 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
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
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
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
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
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
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
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
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
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
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, 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
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
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