Manta Ray Foraging Optimization for the Virtual Inertia Control of Islanded Microgrids Including Renewable Energy Sources

Nowadays, the penetration level of renewable energy sources (RESs) has increased dramatically in electrical networks, especially microgrids. Due to replacement conventional synchronous generators by RESs, inertia microgrid is significantly reduced. This a negative impact on dynamics and performance face uncertainties, resulting weakening stability, an islanded operation. Hence, this paper focuses enhancing dynamic security using frequency control concept based virtual control. The loop was proportional-integral (PI) controller optimally designed Manta Ray Foraging Optimization (MRFO) algorithm. MRFO-based PI investigated considering various operating conditions compared with that other evolutionary optimization algorithm-based controllers. To achieve realistic simulations conditions, actual wind data solar power were used, random load fluctuations implemented. results show superior disturbance alleviation reference tracking considered techniques.