Optimal Power Flow Using firefly-algorithm

Q2 Social Sciences

International Journal of Development Issues Pub Date : 2021-12-25 DOI:10.21608/idj.2021.216606

K. Karboune, I. Chaib, S. Arif, A. Choucha

引用次数: 0

Abstract

In this paper, the Firefly Algorithm (FA) is proposed to find the optimal solution for the Optimal Power Flow (OPF) problem in a power system. The proposed algorithm is applied to determine the optimal settings of control variables of the OPF problem. The performance of the proposed algorithm was examined and tested on the standard IEEE 30bus test system with different objective functions and compared to other methods reported in the literature recently. Simulation results clearly obtained from the proposed (FA) approach indicated that (FA) provides an effective and robust high-quality solution for the OPF problem.

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基于萤火虫算法的最优潮流

本文提出了求解电力系统最优潮流问题的萤火虫算法(FA)。将该算法应用于确定OPF问题控制变量的最优设置。在具有不同目标函数的标准IEEE 30bus测试系统上对所提算法的性能进行了测试，并与近期文献报道的其他方法进行了比较。仿真结果表明，该方法为OPF问题提供了一种有效、鲁棒的高质量解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Development Issues Social Sciences-Political Science and International Relations

CiteScore

2.90

自引率

0.00%

发文量

期刊介绍： The International Journal of Development Issues (IJDI) publishes scholarly research on important development issues, with a particular focus on development dynamism and a leaning towards inter-disciplinary research. IJDI welcomes papers that are empirically oriented but such work should have solid methodological foundations based on realism and pragmatism rather than on idealism. Critical analysis of development issues from both the heteredox viewpoint and the neo-liberalist viewpoint, in orthodox tradition, are equally encouraged. The journal publishes authoritative, intelligent articles and research of direct relevance to those investigating and/or working within areas closely associated with development processes. Special consideration is given to research papers that consider development issues from either a socio-economic, political, historical or sociological, anthropological, ecological and technological standpoint.