Demand side management using strawberry and enhanced differential evolution algorithms

Abstract

Today, electricity is the most worthwhile resource which makes human life very easy. To overcome the gap among demand and supply of electricity, new techniques and methods are being explored. However, electricity demand is increasing constantly, which causes serious crisis. To tackle this problem, demand side management integrated with traditional grids through intercommunication between utility and customers. In this research work, we comparatively look over the two meta-heuristic algorithms: strawberry algorithm (SBA) and enhanced differential evolution (EDE) algorithm in terms of cost minimization, peak to average ratio reduction and maximizing user comfort. For electricity bill calculation, critical peak pricing (CPP) scheme is used. Simulation results show that both optimization techniques work significantly to achieve the desired objectives. SBA performs better then EDE in term of cost minimization while EDE performs better then SBA in terms of user comfort (UC) maximization, PAR reduction and energy consumption minimization.