P-Q Control of Microgrid with Energy Storage Using Adaptive Controller

Abstract

This paper introduces an adaptive active and reactive power control for inverter-based Battery Energy Storage System (BESS) with other Distributed Generators (DGs) of Microgrid (MG). The adaptive P-Q controller utilizes the advantages of Genetic Algorithm (GA) Optimizer and Artificial Neural Network (ANN) which resulted in a very efficient technique. The system is modeled in grid-connected mode to control active and reactive power exported and imported from the grid. Different scenarios were implemented under critical load levels and the proposed adaptive control technique exhibits excellent performance in supporting the load with the required power and sustain grid voltage requirement.