Industrial load scheduling in smart power grids

• Published in: 22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013) p. 0897
• Main Authors: Bahrami, S, Khazaeli, F, Parniani, M
• Format: Conference Proceeding
• Language: English
• Published: Stevenage, UK IET 2013
• Subjects: Generating stations and plants; Optimisation techniques; Power system management, operation and economics; Power system measurement and metering; power system measurement; demand response program; advanced metering method; particle swarm optimisation; power system simulation; industrial load scheduling algorithm; dynamic electricity pricing; PSO algorithm; smart power grids; industrial load management; smart power grid; power generation scheduling; load management; sustainable development; power generation economics; sustainable electricity supply; industrial user satisfaction; electricity generation capacity; power markets; industrial plant; energy consumption; automatic load management method; particle swarm optimization algorithm; pricing
• ISBN: 1849197326; 9781849197328
• DOI: 10.1049/cp.2013.0991

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. (4 pages)