Integration of Moth Flame Optimization with Improved Firefly Algorithm in Islanded Microgrid Using Renewable Sources

Abstract

Generally, an islanded microgrid depends on its Distributed Generators (DG) which are generally intermittent renewable energy sources such as wind turbines, photovoltaic, etc. From the various sources, effective power-sharing is required to compensate the entire microgrid demands. When there is a power outage, the existing droop methods are insufficient to operate an islanded microgrid smoothly. As a result, a hybrid optimization algorithm named Moth Flame Optimization (MFO) and Improved Firefly Algorithm (IFFA) is introduced to study the control issues of an islanded microgrid. A single battery unit is included to serve as a storage unit for intermittent sources and produce the required power when the available sources fail. Due to harmonic distortion, voltage unbalance occurs in the presence of unbalanced/non-linear loads, which can lead to voltage collapse. A comprehensive algorithm known as MFO-IFFA control is proposed to offer DC offset/steady-state error removal and fast dynamic response in an islanded microgrid. The simulation results are validated on MATLAB, which shows that the proposed MFO-IFFA achieves Total Harmonic Distortion (THD) of 1.60 % and Voltage Unbalance Factor (VUF) of 1.748 % which is much better than the existing 3IMPL and DDSRF methods.