Article: "An efficient artificial immune algorithm for power system reliability optimisation" Journal: Int. J. of Power and Energy Conversion, 2009 Vol.1 No.2/3 pp.178 - 197 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. - Inderscience Publishers - linking academia, business and industry through research

Int. J. of Power and Energy Conversion » 2009 Vol.1, No.2/3

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

Author: 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

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

Available online: 20 Aug 2009