Power Quality Enhancement and Coordination Control of a Microgrid System connected to a Grid using Hybrid Optimization Approach

The intermittent characteristic of the distribution network challenges its stability and the control effectiveness of the Micro Grids (MG) in both grid-connected and autonomous modes. Optimal strategy for power control based on Hybrid Approach for stability enhancement of Hybrid Renewable Energy Sources (HRES) connected smart grid system which consists of Photo-Voltaic (PV), Controllable Loads, Battery Energy Storage System (BESS) and Wind Turbine (WT), through real-time self-tuning method is furnished in this paper. The Elephant Herd optimization (EHO), which imitates social behavior of elephants, is a newly tendered swarm intelligence and population-based optimization algorithm. Although EHO is good at local search, it is not effective on the global search. In this study, in order to overcome these problems and to provide a balance between exploration and exploitation, Elephant Herd optimization (EHO) using Cuckoo Search (CS) Algorithm has been proposed. The principal objective of the suggested approach is to attain maximal power as well as stability within the system by optimally tuning parameters of a propound controller. The proposed model has been executed in MATLAB/Simulink platform. The final outcomes reveal that the recommended controller tenders a magnificent retaliation to assure the power quality prerequisites and has more robust performance. To appraise the efficacy of the recommended method, it has been juxtaposed with Artificial Bee Colony (ABC) & Particle Swarm optimization (PSO) techniques.