Energy Management in Grid Integrated Microgrid System using Demand Response

Abstract

This paper presents an energy management system (EMS) for a grid integrated microgrid with demand response program (DRP) using a farmland fertility algorithm (FFA). A demand response program (DRP) is incorporated with FFA for an EMS. This paper proposes an application of a new metaheuristic algorithm i.e., FFA on incentive based DRP for optimization of the operational and procurement cost and adjusting the load demand of customers during the peak load hours. The technique is applied on IEEE three and ten unit systems integrated with wind and solar system. The proposed FFA algorithm with DRP is compared with the game theory based demand response program (GTBDR), particle swarm optimization (PSO), velocity-controlled particle swarm optimization (VCPSO), and confidence-based velocity controlled particle swarm optimization (CVCPSO). The proposed approach significantly reduces the procurement cost by 45.97% and thus contributes to the microgrid economy. The proposed approach effectively optimizes the targeted objectives by minimization of the operational cost, and electricity trading cost (ETC).