Fuzzy Adaptive Control of Virtual Synchronous Generator Based on Constraints of Discharge Characteristics of Energy Storage Batteries

Abstract

Virtual synchronous generator (VSG) is designed for energy storage converter to provide rotating inertia and damping by simulating the electromechanical transient characteristics of traditional synchronous generators (SG). This research focus on the problem that the energy storage side is often regarded as an ideal power supply when selecting the control parameters of conventional VSG, which makes the obtained parameters mismatch with the energy storage battery. Therefore, a fuzzy adaptive control strategy of the VSG system considering constraints of the discharging characteristics of energy storage battery is laid down. This tactic takes the state of charge (SOC) with operating power constraints of energy storage battery into consideration, so that the whole system can always maintain safe and stable operation when the grid is subject to arbitrary fluctuations. Using a fuzzy controller to change the virtual rotating inertia and damping coefficient instantly to realize adaptive VSG control. Using the energy storage SOC along with its capacity constraints to narrow the inertia value range so as to improve the frequency stability of the electrified wire netting. Finally, by comparing the frequency modulation response of energy storage converter under two modes of VSG control in the simulation environment of Matlab/Simulink, this paper proved the feasibility of the proposed VSG control policy.