Optimum Design of PV-Battery-Based Microgrid with Mutation Volatilization-Dependent Water Cycle Algorithm

This paper presents mutation volatilization-based water cycle algorithm (MVWCA) to improve the performance of a photovoltaic (PV)-based microgrid system by optimizing different regulators gain parameters during grid normal and uncertain situation. An inclusive optimization of different regulators gain parameters is studied by minimizing the cost function which constitutes active and reactive power losses at the VSC. A weak microgrid is considered to realize the prominent impact of different less inertia contributing element-based system. An auxiliary battery storage (BS) is integrated with PV to compensate the load during insufficient PV generation. The PV-BS generation is incorporated into the microgrid through a voltage source converter (VSC) using a second-order phase-locked loop (PLL) system to achieve grid synchronization. The proposed microgrid is modeled in the MATLAB script platform. Different rigorous case studies are realized to evaluate the performance of the proposed technique.