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Abstract

Economic operation of the electric energy generating system is one of the common problems in power system. This paper presents a new metaheuristic optimization method, the Search Group Algorithm (SGA) for solving optimal power flow (OPF) problem. The proposed method is tested for 11 different cases on the IEEE 30-bus and IEEE-118 bus systems, in which the IEEE 30-bus system is tested with different objective functions including quadratic function, valve point effects and multiple fuels. The obtained results are compared with some well-known optimization algorithms to emphasize the effectiveness of the SGA method for solving different OPF problems with complicated functions.



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Issue: Vol 20 No K9 (2017)
Page No.: 15-22
Published: Apr 15, 2019
Section: Engineering and Technology - Research article
DOI: https://doi.org/10.32508/stdj.v20iK9.1672

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Creative Commons License

Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Hoang Bao Huy, T., & Ngoc Dieu, V. (2019). A search group algorithm for optimal power flow in power systems. Science and Technology Development Journal, 20(K9), 15-22. https://doi.org/https://doi.org/10.32508/stdj.v20iK9.1672

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