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

Abstract

The intermittency in the renewable energy sources output power, along with the system and load perturbations in the standalone multi-microgrid results in large frequency deviations. The traditional PI/PID controller is unable to provide the acceptable performance for the operating conditions as mentioned above. To address this problem, this paper suggests an efficient load frequency controller for the frequency control of a microgrid (MG). In this proposed controller, the parameters of PID controllers are fine-tuned by using grasshopper optimization algorithm (GOA). In the 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 is executed on an autonomous 2-area hybrid microgrid test system, under various parametric and systemic disturbances. Finally, the superiority of the proposed controller is alleviated concerning error reduction, settling time and overshoot by comparing with various techniques available in the literature.