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Economic Load Dispatch With Multiple Fuel Options and Valve Point Effect Using Cuckoo Search Algorithm With Different Distributions

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  • Cuong Dinh Tran

    (Ton Duc Thang University, Vietnam)

  • Tam Thanh Dao

    (Ho Chi Minh City Industry and Trade College, Vietnam)

  • Ve Song Vo

    (Ho Chi Minh City University of Food Industry, Vietnam)

Abstract

The cuckoo search algorithm (CSA), a new meta-heuristic algorithm based on natural phenomenon of the cuckoo species and Lévy flights random walk has been widely and successfully applied to several optimization problems so far. In the article, two modified versions of CSA, where new solutions are generated using two distributions including Gaussian and Cauchy distributions in addition to imposing bound by best solutions mechanisms are proposed for solving economic load dispatch (ELD) problems with multiple fuel options. The advantages of CSA with Gaussian distribution (CSA-Gauss) and CSA with Cauchy distribution (CSA-Cauchy) over CSA with Lévy distribution and other meta-heuristic are fewer parameters. The proposed CSA methods are tested on two systems with several load cases and obtained results are compared to other methods. The result comparisons have shown that the proposed methods are highly effective for solving ELD problem with multiple fuel options and/nor valve point effect.

Suggested Citation

  • Cuong Dinh Tran & Tam Thanh Dao & Ve Song Vo, 2020. "Economic Load Dispatch With Multiple Fuel Options and Valve Point Effect Using Cuckoo Search Algorithm With Different Distributions," International Journal of Energy Optimization and Engineering (IJEOE), IGI Global, vol. 9(3), pages 24-38, July.
    • Handle: RePEc:igg:jeoe00:v:9:y:2020:i:3:p:24-38
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