Frequency Control in an Autonomous Two-area Hybrid Microgrid using Grasshopper Optimization based Robust PID Controller

摘要

The intermittency in the output power of renewableenergy sources, along with the system and load perturbations in thestandalone multi-microgrid results in large frequency deviations. The traditional PI/PID controller is unable to provide the acceptable performance for the operating conditions as mentionedabove. To address this problem, this paper suggests an efficient loadfrequency controller for the frequency control of a microgrid (MG). In this proposed controller, the parameters of PID controllers arefine-tuned by using grasshopper optimization algorithm (GOA). Inthe proposed strategy, diesel engine generators (DEGs) and redox flow batteries (RFBs) are responsible for balancing the generation and load in the hybrid microgrid system. The proposed controller isexecuted on an autonomous 2-area hybrid microgrid test system, under various parametric and systemic disturbances. Finally, howbetter the proposed controller interms of error reduction, settling time and overshoot is shown by comparing with various techniques available in the literature.