Demand Side Management Scheduling of Appliances Using Meta Heuristic Algorithms

Abstract

Energy is the most needed commodity of the current era. Recently, the demand of energy is far higher than the available energy. By the incorporation of Demand Side Management (DSM) with the Smart Grid (SG) results in the solution of this problem. Different techniques are utilized in SG to minimize the electricity cost and manage load in industrial, residential areas, and commercial to minimize the Peak to Average Ratio (PAR) and decrease in the waiting time of appliances which leads to maximize user comfort. In this article, we propose six Meta heuristic techniques in Home Energy Management System (HEMS); Firefly Algorithm (FA), Bacterial foraging Algorithm (BFA), Earth Worm Optimization Algorithm (EWA), Genetic Algorithm (GA), Hybrid of Genetic and Bacterial foraging (HBG), and Harmony Search Algorithm (HSA). We have achieved minimization in PAR, electric cost, upturn user comfort through appliances scheduling using the optimization techniques.