A REVIEW OF META-HEURISTIC APPROACHES FOR SOLVING OPTIMAL POWER DISPATCH PROBLEMS IN POWER NETWORKS

Authors

  • Akintunde S. Alayande Department of Electrical and Electronics Engineering, University of Lagos, Nigeria
  • Ignatius K. Okakwu Department of Electrical and Electronics Engineering, University of Benin, Nigeria
  • Tolulope O. Akinbulire Department of Electrical and Electronics Engineering, University of Lagos, Nigeria
  • Joshua T. Olowolaju Department of Electrical and Electronics Engineering, University of Lagos, Nigeria
  • Olanike O. Ade-Ikuesan Department of Electrical and Electronics Engineering, Olabisi Onabanjo University, Ago Iwoye, Nigeria

DOI:

https://doi.org/10.30572/2018/KJE/100408

Keywords:

Economic dispatch problem, renewable energy sources, meta-heuristic approach, lambda iteration, operating costs

Abstract

Increase in geometrical trend in the demand for electrical energy, in addition to large interconnections, has increased the operational and structural complexities of modern power systems. Improved performance in modern power systems as well as enhanced reliability without sacrificing the integrity of the network at a minimum operating cost is, therefore, of great concern to power system utilities researchers and engineers. In addition, there has been a rapid development in the integration of renewable energy sources into the conventional power systems and various hybrid generating plants, in modern power systems, have emerged. In solving the EDP in modern power systems, due to the existence of non-convexity in the problem, the capability derived in the meta-heuristical-based methods have been extensively explored in recent times. This paper, therefore, presents a comprehensive review of various meta-heuristic approaches through which the solution to economic dispatch problems could be effectively provided.

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Published

2019-10-02

How to Cite

Alayande, Akintunde, et al. “A REVIEW OF META-HEURISTIC APPROACHES FOR SOLVING OPTIMAL POWER DISPATCH PROBLEMS IN POWER NETWORKS”. Kufa Journal of Engineering, vol. 10, no. 4, Oct. 2019, pp. 89-105, doi:10.30572/2018/KJE/100408.

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