Abstract

In this work a load shifting for demand side management (DSM) strategy is developed. The strategy is based on an improved version of differential evolution DE, named Back Tracking Search Algorithm (BSA) is proposed in order to minimize the peak load demand and the total utility cost of three kinds of customers i.e. residential, commercial and industrial. The obtained simulation results are compared with those obtained using Particle Swarm Optimization (PSO) algorithm. This comparison highlights the effectiveness of BSA to handle a large number of different type devices.

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