Optimal Penetration of RES to the Network by PSO-based Microgrid-Controller

Penetration of renewable energy resources (RES) to the grid lacking a significant system redesign is one of the main issues that need to be studied. An effective technique for solving this problem is optimizing the penetration of these units into a microgrid, the gateway to emerging a smart grid. The paper investigates the consequence of microgrid integration into the grid to achieve safe maximum instantaneous RES penetration. The microgrid models include solar PV,  energy storage, and wind energy (WE). The) wind energy type double-fed induction generator (DFIG) is integrated into the grid's dynamic model system by considering the automatic voltage regulator and the turbine governor. The maximum acceptable load on each bus is determined explicitly by the Algorithm. The artificial intelligence-based particle swarm optimization (PSO) method has been utilized in the controller to attain the optimal harmless rapid WE penetration limit. The results seem encouraging when examined on a modified IEEE 14-bus with a microgrid system.