Optimal reactive power dispatch using an improved slime mould algorithm

The optimal reactive power dispatch (ORPD) problem plays an important role in the reliability and economy of a power system. At present, the methods for solving the ORPD problem are insufficient in terms of both accuracy and computation time. The inspiration for the slime mould algorithm (SMA) comes...

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Autores principales:	Yuanye Wei, Yongquan Zhou, Qifang Luo, Wu Deng
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Slime mould algorithm Improved slime mould algorithm Reactive power dispatch problem Optimization Swarm intelligence Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/462fbf849ff94e7fa6a8136b433a2eb0
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id	oai:doaj.org-article:462fbf849ff94e7fa6a8136b433a2eb0
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spelling	oai:doaj.org-article:462fbf849ff94e7fa6a8136b433a2eb02021-11-28T04:34:28ZOptimal reactive power dispatch using an improved slime mould algorithm2352-484710.1016/j.egyr.2021.11.138https://doaj.org/article/462fbf849ff94e7fa6a8136b433a2eb02021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721012853https://doaj.org/toc/2352-4847The optimal reactive power dispatch (ORPD) problem plays an important role in the reliability and economy of a power system. At present, the methods for solving the ORPD problem are insufficient in terms of both accuracy and computation time. The inspiration for the slime mould algorithm (SMA) comes from the oscillation mode of slime mould foraging in the real world. However, in some cases, SMA skips over the real solution and becomes trapped at sub-optimal solution, which leads to premature convergence and negatively affects the search for the global optima. Therefore, to address these issues, in this paper, we propose an improved SMA (ISMA) to solve the ORPD problem. In the performance evaluation, 23 IEEE CEC 2017 benchmark functions were used to compare ISMA with standard SMA and several state-of-the-art methods. The experimental results show that ISMA performs well with respect to the mean (standard deviation), Friedman test, Wilcoxon test, and convergence curves. Moreover, to perform the ORPD task, this method was implemented on the IEEE 57-bus, IEEE 118-bus, and IEEE 300-bus test systems, and the results were compared with those of other recent optimization techniques. The advantages of this algorithm were demonstrated, and its effectiveness and robustness for solving ORPD problem of power system were also demonstrated.Yuanye WeiYongquan ZhouQifang LuoWu DengElsevierarticleSlime mould algorithmImproved slime mould algorithmReactive power dispatch problemOptimizationSwarm intelligenceElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 7, Iss , Pp 8742-8759 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Slime mould algorithm Improved slime mould algorithm Reactive power dispatch problem Optimization Swarm intelligence Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Slime mould algorithm Improved slime mould algorithm Reactive power dispatch problem Optimization Swarm intelligence Electrical engineering. Electronics. Nuclear engineering TK1-9971 Yuanye Wei Yongquan Zhou Qifang Luo Wu Deng Optimal reactive power dispatch using an improved slime mould algorithm
description	The optimal reactive power dispatch (ORPD) problem plays an important role in the reliability and economy of a power system. At present, the methods for solving the ORPD problem are insufficient in terms of both accuracy and computation time. The inspiration for the slime mould algorithm (SMA) comes from the oscillation mode of slime mould foraging in the real world. However, in some cases, SMA skips over the real solution and becomes trapped at sub-optimal solution, which leads to premature convergence and negatively affects the search for the global optima. Therefore, to address these issues, in this paper, we propose an improved SMA (ISMA) to solve the ORPD problem. In the performance evaluation, 23 IEEE CEC 2017 benchmark functions were used to compare ISMA with standard SMA and several state-of-the-art methods. The experimental results show that ISMA performs well with respect to the mean (standard deviation), Friedman test, Wilcoxon test, and convergence curves. Moreover, to perform the ORPD task, this method was implemented on the IEEE 57-bus, IEEE 118-bus, and IEEE 300-bus test systems, and the results were compared with those of other recent optimization techniques. The advantages of this algorithm were demonstrated, and its effectiveness and robustness for solving ORPD problem of power system were also demonstrated.
format	article
author	Yuanye Wei Yongquan Zhou Qifang Luo Wu Deng
author_facet	Yuanye Wei Yongquan Zhou Qifang Luo Wu Deng
author_sort	Yuanye Wei
title	Optimal reactive power dispatch using an improved slime mould algorithm
title_short	Optimal reactive power dispatch using an improved slime mould algorithm
title_full	Optimal reactive power dispatch using an improved slime mould algorithm
title_fullStr	Optimal reactive power dispatch using an improved slime mould algorithm
title_full_unstemmed	Optimal reactive power dispatch using an improved slime mould algorithm
title_sort	optimal reactive power dispatch using an improved slime mould algorithm
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/462fbf849ff94e7fa6a8136b433a2eb0
work_keys_str_mv	AT yuanyewei optimalreactivepowerdispatchusinganimprovedslimemouldalgorithm AT yongquanzhou optimalreactivepowerdispatchusinganimprovedslimemouldalgorithm AT qifangluo optimalreactivepowerdispatchusinganimprovedslimemouldalgorithm AT wudeng optimalreactivepowerdispatchusinganimprovedslimemouldalgorithm
_version_	1718408312849956864

Optimal reactive power dispatch using an improved slime mould algorithm

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