基于改进非支配排序遗传算法的配电网动态重构
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TM73

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国家重点研发计划(No.2019YFB2102703);深圳市科创委面上项目(20200125)


Dynamic Reconfiguration of Distribution Network Based on Improved NSGA-II Algorithm
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    摘要:

    针对分布式电源大规模接入配电网情况下,配电网的动态重构问题,本文提出一种基于改进NSGA-II算法的配电网动态重构策略。首先,以系统运行成本和电压偏移最小为目标建立配电网动态重构模型。然后,结合参数自适应策略和基于可行解优越性的约束处理技术提出NSGA-II改进算法对模型进行求解,再采用超体积(hypervolume)指标选择最佳的帕累托解集,并通过模糊决策技术从帕累托解集中选择最佳方案。最后,以IEEE 33节点系统为例进行仿真,结果表明该模型可以在降低系统运行成本的同时提高系统电能质量。

    Abstract:

    Aiming at the problem of dynamic reconfiguration of distribution network when distributed power is connected to distribution network on a large scale, a dynamic reconfiguration strategy of distribution network is proposed based on improved NSGA-II algorithm. Firstly, the dynamic reconfiguration model of distribution network is established based on the minimum operating cost and voltage offset. Secondly, combined with parameter adaptive strategy and constraint processing technology based on the superiority of feasible solution, NSGA-II improved algorithm is proposed to solve the model. Thirdly, the hypervolume index is used to select the best Pareto solution set, and the best scheme is selected from the Pareto solution set by fuzzy decision technology. Finally, a simulation of IEEE 33 node system is carried out. The results show that the model can improve the power quality while reducing the operating cost of the system.

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张照垄,何莉,吴霜. 基于改进非支配排序遗传算法的配电网动态重构[J]. 科学技术与工程, 2021, 21(21): 8916-8922.
Zhang Zhaolong, He Li, Wu Shuang. Dynamic Reconfiguration of Distribution Network Based on Improved NSGA-II Algorithm[J]. Science Technology and Engineering,2021,21(21):8916-8922.

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  • 收稿日期:2020-11-23
  • 最后修改日期:2021-07-03
  • 录用日期:2021-03-18
  • 在线发布日期: 2021-08-11
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