Improved Adaptive Control Strategy Of Inertia For Virtual Synchronous Generator Based On Fuzzy Control

As a large number of distributed energy sources merge into the micro-grid, power electronic inverters, serving as carriers for the interaction between energy and micro-grids, along with their control methods have received extensive attention. In order to solve the low damping characteristic brought by the traditional distributed power inverter and reduce the impact of load fluctuation on the micro-grid. This paper combines fuzzy control and traditional virtual synchronous generator technology(VSG), and proposes the fuzzy VSG inertia adaptive algorithm. The fuzzy control rules are established by analyzing the correspondence between the inertia and the frequency change. Using the simulation tools, the effects of different levels of load switching on the output frequency and active power of the inverter are analyzed. It is proved that the proposed algorithm can effectively improve the anti-interference of the inverter output voltage frequency under the micro-grid island operation conditions, reduce the power fluctuation range and shorten the adjustment time of the power control.