Secondary Frequency Control of Microgrids In Islanded Operation Mode and Its Optimum Regulation Based on the Particle Swarm Optimization Algorithm

Abstract

In microgrids, the use of renewable energy sources, such as wind power generation systems (WPGS) and photo voltaic(PV) systems, causes to vary the electrical power. These changes in power systems may lead to imbalance between the load and the power. Since the increase/decrease of the power cannot be compensated by the connection with the grid, instability may be arose in the system by islanded MGs. In this paper, to prevent the changes and to provide stability in the system, a PI controller with a fuzzy system, which concurrently determine the coefficients of the PI controller, is introduced. For optimum regulation of the fuzzy membership functions, the particle swarm optimization Algorithm (PSOA) is applied. The simulation results reveal that the optimal controller makes the frequency changes approach to zero more rapidly than classical controller and the fuzzy