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Equivalent Load Duration Curve based Maintenance Scheduling using Chaotic Particle Swarm Optimization

K Suresh

Abstract


This paper presents an equivalent load duration curve (ELDC) based maintenance scheduling (MS) of generators using chaotic improved binary particle swarm optimization (CIBPSO). The objective of this paper is to reduce the loss of load probability (LOLP) and to find new method of effective load carrying capacity (ELCC) for a power system using probabilistic production simulation (PPS) method. To mitigate the effects of traditional probabilistic levelized risk method. The PPS method is exploited to calculate ELCC of the generators in a power system. Chaotic sequences are introduced in the improved particle swarm optimization (IBPSO) for adjusting the weight to acquire diversified solutions in the search space. Extensive case study on the real power system that include Thailand power system show that the proposed algorithm can accomplish a significant levelization in the reliability indices over the planning horizon, and it validates the suitability of the proposed approach. The proposed method produces better result with improved search performance.


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References


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