基于统一非支配排序遗传算法和差分进化算法的输电网络统一潮流控制器优化配置

Oloulade Arouna, Moukengue Imano Adolphe, Fifatin François-Xavier, Ganye Sewlan Amedee Arcadius, Badarou Ramanou, Vianou Antoine, Tamadaho Herman
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引用次数: 2

摘要

贝宁电力共同体(CEB)的相互连接的输电网络损耗过大,到2025年将进一步增加,并严重降低供电质量。本文介绍了采用U-NSGA III和DE对中电局hhtb网络中UPFC定位的四准则优化。UPFC定位在中电局hhtb网络的3号线和6号节点上,从质量上提高了中电局hhtb网络的技术性能,其最优安装成本为13126657.03美元。两种计算方法的超体积结果表明,U-NSGA-III方法在全局解趋势方面比DE方法更准确,这些令人信服的结果证实了U-NSGA-III方法的性能优于DE方法,并且结果与U-NSGA-III方法的结果接近,差异较小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Placement of an Unified Power Flow Controller in a Transmission Network by Unified Non Dominated Sorting Genetic Algorithm-III and Differential Evolution Algorithm
The interconnected transmission network of the Benin Electric Community (CEB) presents excessive losses that will increase further by 2025 and severely degrade the power quality supplying. This paper presents the quarto-criterion optimization of the positioning of a UPFC in the CEB's HTB network by U-NSGA III and DE. The positioning of an UPFC on line 3 and node 6 of this network has qualitatively improved the technical performance of this transmission network with an optimal installation cost of US $ 13126657.03. The hypervolumes of the two calculated methods showed that the U-NSGA-III is more accurate in terms of trend toward global solutions than DE. These convincing results confirm the performance of the U-NSGA-III method compared to the DE which also resulted in results close to those obtained by the U-NSGA-III with more or less narrow difference.
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