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Solution to Electric Power Dispatch Problem Using Fuzzy Particle Swarm Optimization Algorithm

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Abstract

This paper presents the application of fuzzy particle swarm optimization to constrained economic load dispatch (ELD) problem of thermal units. Several factors such as quadratic cost functions with valve point loading, ramp rate limits and prohibited operating zone are considered in the computation models. The Fuzzy particle swarm optimization (FPSO) provides a new mechanism to avoid premature convergence problem. The performance of proposed algorithm is evaluated on four test systems. Results obtained by proposed method have been compared with those obtained by PSO method and literature results. The experimental results show that proposed FPSO method is capable of obtaining minimum fuel costs in fewer numbers of iterations.

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Authors and Affiliations

  1. Department of Electrical Engineering, Dayalbagh Educational Institute, Agra, India

    D. K. Chaturvedi & S. Kumar

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  1. D. K. Chaturvedi
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  2. S. Kumar
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Correspondence to D. K. Chaturvedi.

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Chaturvedi, D.K., Kumar, S. Solution to Electric Power Dispatch Problem Using Fuzzy Particle Swarm Optimization Algorithm. J. Inst. Eng. India Ser. B 96, 101–106 (2015). https://doi.org/10.1007/s40031-014-0122-z

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  • DOI: https://doi.org/10.1007/s40031-014-0122-z

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