Abstract
Particle Swarm Optimization (PSO) technique tries to mimic the collective behavior of bird flocking and fish schooling. Economic load dispatch (ELD) is one of the mile stone in power system optimization problem. The main objective of the ELD is to determine the optimal power output of a number of thermal generators at the lowest possible cost to meet the short-term system demand, subjected to various transmission and operational constraints. This paper presents an overview of an stochastic PSO technique for ELD problem. The performance of the PSO technique is improved by the implementation of Gaussian and Cauchy probability distributions function. The implementation of the probability distribution function is carried out using systematic analysis of three different models of improved PSO technique. The performance of the improved PSO techniques are critically analyzed for ELD problem. The best position for the location of Gaussian and Cauchy probability distribution function is presented in this paper. The analysis reveals that the improved PSO technique is simple, reliable and suitable for real-time applications.
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Muthu Selvan, N.B., Thiyagarajan, V. (2020). Improved Particle Swarm Optimization Technique for Economic Load Dispatch Problem. In: Hemanth, D.J., Kumar, V.D.A., Malathi, S., Castillo, O., Patrut, B. (eds) Emerging Trends in Computing and Expert Technology. COMET 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-030-32150-5_54
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DOI: https://doi.org/10.1007/978-3-030-32150-5_54
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