An efficient artificial immune algorithm for power system reliability optimisation

Autor:	Abdelkader Rami, Abdelkader Zeblah, H. Hamdaoui, F. Harrou, Y. Massim
Rok vydání:	2009
Předmět:	Set (abstract data type) Mathematical optimization Electric power system Null (SQL) Total cost Demand curve Energy Engineering and Power Technology Variation (game tree) Metaheuristic Reliability (statistics) Mathematics
Zdroj:	International Journal of Power and Energy Conversion. 1:178
ISSN:	1757-1162 1757-1154
DOI:	10.1504/ijpec.2009.027943
Popis:	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.
Databáze:	OpenAIRE
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