Switching of large loads and equipment failures cause large frequency and voltage deviations in microgrids. These events deteriorate power quality and can cause frequency or voltage collapse. Microgrid-supporting battery energy storage units provide real and reactive power support and can improve frequency and voltage stability during contingency events with appropriate control mechanisms. This presentation investigates data-driven control methods for optimizing the response of microgrid-supporting energy storage. Additionally, a real-time software-in-the-loop testbed is developed for evaluation of the presented control methods. A real-time simulation approach enables collection of the time-series data required for performing data-driven control design without an extensive experimental laboratory system.
Daniel Ryan, Monash University