Spurious Trip Rate Optimization Using Particle Swarm Optimization Algorithm

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dc.contributor.author
dc.contributor.authorZennir Youcef
dc.date.accessioned2024-03-13T11:43:27Z
dc.date.available2024-03-13T11:43:27Z
dc.date.issued2024-02-01
dc.description.abstractThe purpose of this study is to enhance the reliability of emergency shutdown systems in the electric production industry by addressing spurious activations. Such activations may lead to production losses, stress on affected components and systems, and increase hazards during the restoration process of the system and losing the trust in safety system. This can lead to ignorance of serious detections of dangerous situations. Hence, the optimization and control of spurious activations becomes imperative for ensuring both efficiency and cost-effectiveness of any industrial plant. In the last few decays, several optimization meta-heuristic techniques are developed in literature. Particle swarm optimization is power and robust tool dedicated to solve complex problems. This paper presents a comprehensive review of the application of particle swarm optimization to minimize spurious trip rate by the optimization of performance parameters of emergency shutdown system installed in a combined cycle power plant. The results show that the obtained spurious activations rate is minimum.
dc.identifier.urihttp://dspace.univ-skikda.dz:4000/handle/123456789/333
dc.language.isoen
dc.publisherInternational Journal of Safety and Security Engineering. Vol. 41, No. 1, February, 2024. pp 63-69
dc.titleSpurious Trip Rate Optimization Using Particle Swarm Optimization Algorithm
dc.typeArticle
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