Industrial load scheduling in smart power grids

Recently deployment of advanced metering and automatic load management methods make it possible to optimize energy consumption, and to release generation capacities for the purpose of providing sustainable electricity supply. The subject addressed in this paper, is proposing a practical demand response program for industrial load management in smart power grids. The main focus of the paper is modelling industrial loads and proposing a novel load scheduling algorithm to achieve an near optimal scheduling by taking into account industrial users satisfaction, dynamic electricity pricing, and constraints regarding to electricity generation capacity. An industrial plant containing 17 devices in its production line is used for simulation studies. The high convergence speed and the appropriate results are also clarified by comparing the proposed algorithm with Particle Swarm Optimization (PSO) algorithm.