Title: An efficient artificial immune algorithm for power system reliability optimisation

Authors: A. Rami, A. Zeblah, H. Hamdaoui, Y. Massim, F. Harrou

Addresses: Engineering Faculty, University of Sidi Bel Abbes, BP 89 Gumbeta, 22000 Sidi Bel Abbes, Algerie. ' Engineering Faculty, University of Sidi Bel Abbes, BP 89 Gumbeta, 22000 Sidi Bel Abbes, Algerie. ' Engineering Faculty, University of Sidi Bel Abbes, BP 89 Gumbeta, 22000 Sidi Bel Abbes, Algerie. ' Institut Charles Delaunay (CNRS FRE 2848), LM2S, University of Technology of Troyes, Troyes, 12 rue Marie Curie, Troyes Cedex, France. ' Institut Charles Delaunay (CNRS FRE 2848), LM2S, University of Technology of Troyes, Troyes, 12 rue Marie Curie, Troyes Cedex, France

Abstract: Many systems as mechanical electrical or telecommunication are implemented by using a set of interconnected subsystems. While the design of the overall system may often be fixed, individual subsystems may be implemented differently. A designer needs to either achieve highest reliability while minimising the total cost, or maximise the reliability while using only the available budget. Intuitively, some of the lowest-reliability components may need special attention to raise the overall reliability level. Such an optimisation problem may arise while designing complex industrial systems. In this work, a meta-heuristic immune algorithm (IA) was introduced and applied to solve a redundant optimisation problem presented by multi-state series-parallel systems. We supposed variation of the load cumulative demand curve null. The proposed meta-heuristic determines the minimal investment-costs system configuration to satisfy reliability constraints. A universal generating function technique is applied to evaluate system availability.

Keywords: artificial immune algorithm; metaheuristics; redundancy optimisation; multi-state systems; universal generating function; series-parallel systems; power system reliability.

DOI: 10.1504/IJPEC.2009.027943

International Journal of Power and Energy Conversion, 2009 Vol.1 No.2/3, pp.178 - 197

Published online: 20 Aug 2009 *

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