Voltage control of DC microgrid based on fuzzy neural network and improved particle swarm optimization algorithm

DC microgrid, characterized by high conversion efficiency, occupies a large part of the distribution network. However, due to the complexity and randomness of renewable energy and load, the voltage control of DC microgrid is inaccurate, which is an important indicator to measure the stable operation of the system. Considering the randomness, this paper studies the voltage control of DC microgrid including photovoltaic, wind power, energy storage and DC load systems. In this paper, the mathematical model of DC micro grid under multi energy coupling is established. Furthermore, fuzzy neural PID control with improved particle swarm optimization is proposed. Finally, the controller in this paper is proved to be effective through simulation experiments.