Ujjwol Tamrakar and a team of researchers at Sandia National Laboratories have developed a framework for the simultaneous dispatch of energy storage systems (ESSs) for energy arbitrage and power quality applications in the electric grid. Their findings are detailed in the article titled “A Model Predictive Control Framework for Combining Energy Arbitrage and Power Quality Applications from Energy Storage Systems,” published in the IEEE Open Access Journal of Power and Energy on August 29, 2024.
This research is important as ESSs are essential for achieving future clean energy targets. However, the economic benefits of these systems can be limited due to high capital costs and challenges in monetization. The proposed framework allows for the simultaneous dispatch of ESSs to achieve multiple techno-economic objectives without negatively impacting market revenues.
The framework utilizes a model predictive control (MPC) approach, enabling the dispatch of energy storage for both energy arbitrage and power quality applications, such as voltage regulation and power factor correction. Simulation results indicate that these applications can be stacked with arbitrage without significantly affecting revenues, and in some cases, they may even enhance them. A controller-hardware-in-the-loop (CHIL) study was also conducted to demonstrate the practical feasibility of the framework.
The framework is designed to be generic, allowing system operators to utilize it for increased revenues and serving as a foundation for further research on integrating additional grid applications of ESSs.
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This research was supported by the U.S. Department of Energy, Office of Electricity (OE), Energy Storage Division.
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