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Multiarea Economic Dispatch Using Evolutionary Algorithms

Author

Listed:
  • Sanjay Kumar
  • Vineet Kumar
  • Nitish Katal
  • Sanjay Kumar Singh
  • Sumit Sharma
  • Pushpendra Singh

Abstract

Multiarea economic dispatch (MAED) is a vital problem in the present power system to allocate the power generation through dispatch strategies to minimize fuel cost. In economic dispatch, this power generation distribution always needs to satisfy the following constraints: generating limit, transmission line, and power balance. MAED is a complex and nonlinear problem and cannot be solved with classical techniques. Many metaheuristic methods have been used to solve economic dispatch problems. In this study, the dynamic particle swarm optimization (DPSO) and grey wolf optimizer (GWO) have been used to solve the MAED problem for single-area 3 generation units, a two-area system with four generating units, and four areas with 40-unit system. The hunting and social behaviors of grey wolves are implemented to obtain optimal results. During the optimization search, this algorithm does not require any information regarding the objective function’s gradient. The tunable parameters of the original PSO that are three parameters are dynamically controlled in this work that provides the efficient cost values in less execution time although satisfying all the MAED problem’s diverse constraints. In this study, the authors also implemented the GWO algorithm with two tunable parameters, and its execution is straightforward to implement for the MAED problem.

Suggested Citation

  • Sanjay Kumar & Vineet Kumar & Nitish Katal & Sanjay Kumar Singh & Sumit Sharma & Pushpendra Singh, 2021. "Multiarea Economic Dispatch Using Evolutionary Algorithms," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-14, September.
  • Handle: RePEc:hin:jnlmpe:3577087
    DOI: 10.1155/2021/3577087
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    Cited by:

    1. Khairul Eahsun Fahim & Liyanage C. De Silva & Fayaz Hussain & Hayati Yassin, 2023. "A State-of-the-Art Review on Optimization Methods and Techniques for Economic Load Dispatch with Photovoltaic Systems: Progress, Challenges, and Recommendations," Sustainability, MDPI, vol. 15(15), pages 1-29, August.
    2. Sharifian, Yeganeh & Abdi, Hamdi, 2024. "Multi-area economic dispatch problem: Methods, uncertainties, and future directions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).

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