A model reference based adaptive controller for power flow management in microgrid systems.

This paper focuses on developing an efficient controller for DC Microgrid system to enhance optimum power flow management between distributed energy resources. The prime focus of the research is to analyze the operation of central controller to harvest maximum energy from solar, wind and bidirectional power flow with battery to regulate a constant voltage at DC bus. Initially, a PI controller scheme is operated on Microgrid system with Distributed Energy Resources by collecting real time laboratory data of solar and wind. Analysis of demand and supply conditions is implemented using hybrid renewable energy systems. The error indices for the analyzed PI controller is found to be around 30%. Model Reference Adaptive Controller reduces the error indices as applied to hybrid renewable energy systems. Model reference adaptive controller enhance the control over grid and requirements to the customers are met time to time.