Energy Management and Voltage Regulation of Grid-Connected Microgrid Using Genetic Algorithm

This paper proposes a genetic algorithm-based optimization methodology that considers the voltage regulation in a grid-connected microgrid. The need for voltage regulation comes from the stochastic nature of the power consumption and the power generation from the distributed generators, and the need for a stable and quality power supply. The algorithm is tested on a small-scale microgrid with PV and wind generators, supported by a battery energy system over a 24-hour time period. The obtained results show the financial benefit of considering the voltage regulation as part of the optimization process.