Imperialist competitive algorithm for dynamic optimization of economic dispatch in power systems

Authors:
Robin Roche;Lhassane Idoumghar;Benjamin Blunier;Abdellatif Miraoui
Affiliations:
Laboratoire Systèmes et Transports, Université de Technologie de Belfort-Montbéliard, Belfort, France;LMIA / INRIA Grand Est, Université de Haute-Alsace, Mulhouse, France;Laboratoire Systèmes et Transports, Université de Technologie de Belfort-Montbéliard, Belfort, France;Laboratoire Systèmes et Transports, Université de Technologie de Belfort-Montbéliard, Belfort, France
Venue:
EA'11 Proceedings of the 10th international conference on Artificial Evolution
Year:
2011

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Abstract

As energy costs are expected to keep rising in the coming years, mostly due to a growing worldwide demand, optimizing power generation is of crucial importance for utilities. Economic power dispatch is a tool commonly used by electric power plant operators to optimize the use of generation units. Optimization algorithms are at the center of such techniques and several different types of algorithms, such as genetic or particle swarm algorithms, have been proposed in the literature. This paper proposes the use of a new metaheuristic called imperialist competitive algorithm (ICA) for solving the economic dispatch problem. The algorithm performance is compared with the ones of other common algorithms. The accuracy and speed of the algorithm are especially studied. Results are obtained through several simulations on power plants and microgrids in which variable numbers of generators, storage units, loads and grid import/export lines are connected.