Dynamic and intelligent load servicing strategy for a stand-alone solar PV-based microgrid

Abstract

This paper presents a system operating strategy for a stand-alone PV microgrid where the loads are cumulatively prioritized. Existing microgrids typically employ strategies to control the system operation using static thresholds. This strategy (default operating mode) has been enhanced to formulate the intelligent operating mode, which performs dynamic energy resource allocation based on current energy availability. The intelligent operating mode has two functionalities; load servicing predictions and run-time servicing. Optimal load servicing is predicted for the next three days using solar PV generation forecasts. The availability of these inexpensive forecasts with reasonable accuracy enables intelligent planning and operation of the microgrid. Run-time servicing is done dynamically on an hourly basis, based on the current energy availability. It has been observed that the intelligent operating mode provides a superior servicing efficiency when compared to the default operating mode. The enhanced load servicing provides a means to reduce the size of microgrid system. This in turn results in reduced capital costs, thus establishing a sustainable and scalable pathway for increased global microgrid installations.