智能配电网故障后自愈能力评估研究
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作者单位:

1.湖北武汉国网湖北省电力有限公司经济技术研究院;2.国网湖北省电力有限公司经济技术研究院 湖北武汉 国网经济技术研究院有限公司 北京;3.国网经济技术研究院有限公司 北京

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中图分类号:

TP181

基金项目:

国家电网公司总部科技项目资助:基于多体系信息融合的配电网设备资产管理优化技术研究(5400-202056131A-0-0-00)。


Research on Self-healing Capability Evaluation of Smart Distribution Network After Fault
Author:
Affiliation:

1.State Grid Hubei Economic Research Institute,Wuhan;2.State Grid State Power Economic Research Institute

Fund Project:

Supported by the Science and Technology Project of the Headquarters of State Grid Corporation of China "Research on Optimization Technology of Distribution Network Equipment Asset Management Based on Multi-system Information Fusion"(5400-202056131A-0-0-00).

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    摘要:

    智能电网的自愈作为其主要特征具有重要的研究意义,但迄今为止尚未有全面的智能配电网自愈能力衡量标准。现有的智能配电网自愈评估主要存在量化指标不全面、忽视自愈过程中的不确定性等问题,导致评估不准确,高于实际结果。为了解决上述问题,本文开展了两方面的工作:1)提出自愈可信度、自愈率、自愈速度和自愈效益四个量化指标, 涵盖了配电网故障后负荷恢复的速度、可持续时间和经济效益等因素。在上述指标的基础上,利用信息熵的方法提出了一个综合评价指标-自修复性能;2)引入不确定性理论来定定量描述自愈的不确定性,以解决在自愈评估过程中的不确定性和样本不足的问题。最后,利用构建的含7个区段的配电系统结构进行仿真分析,验证了所提评价指标和评估方法的有效性和准确性。

    Abstract:

    As the main characteristic of smart grid, self-healing has important research significance, but so far there has not been a comprehensive self-healing ability measurement standard of smart distribution network. The existing self-healing evaluation of smart distribution network mainly has some problems, such as incomplete quantitative indicators and ignoring the uncertainties in the process of self-healing, which leads to inaccurate evaluation and higher than the actual results. In order to solve the above problems, two aspects of work have been carried out in this paper. 1) Four quantitative indexes of self-healing credibility, self-healing rate, self-healing speed and self-healing benefit have been Uncertainty or uncertainty is used to quantitatively describe the self-healing certainty so as to solve the problems of uncertainty and insufficient samples in the self-healing evaluation process. Finally, the effectiveness and accuracy of the proposed evaluation index and evaluation method are verified by the simulation analysis of the structure of the power distribution system with 7 sections.

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  • 收稿日期:2021-07-24
  • 最后修改日期:2021-08-19
  • 录用日期:2021-09-02
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