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上海电力大学学报:2024,40(1):73-79,86
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计及设备健康指数的配电网节点脆弱性评估
(上海电力大学 电气工程学院)
Distribution Network Node Vulnerability Assessment Considering Equipment Health Indices
(School of Electrical Engineer, Shanghai University of Electric Power, Shanghai 200090, China)
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投稿时间:2023-07-16    
中文摘要: 节点脆弱性评估对配电网风险预警、安全运行具有关键作用。为此,提出了一种计及设备健康指数的配电网节点脆弱性评估方法。首先,从设备维度出发,基于全生命周期理论得到节点设备本身和网络中的健康指数,以此得到配电网节点脆弱性预评估方案;然后,针对配电网的辐射状特性,在系统维度下基于复杂网络理论和风险理论,提出了改进评估指标;接着,利用改进评估指标对设备维度下配电网节点脆弱性预评估方案进行再辨识,得到配电网节点脆弱性排序;最后,以IEEE 33节点配电系统为例,对算例结果进行分析,并与其他文献结果进行对比,验证了所提方法的合理性和可行性。
Abstract:Node vulnerability assessment plays a key role in risk warning and safe operation of distribution networks.To this end,a node vulnerability assessment method for distribution networks taking into account the equipment health index is proposed.Firstly,the health indices of the node equipment itself and the network are obtained from the equipment dimension based on the whole life cycle theory,so as to obtain the distribution network node vulnerability pre-assessment scheme.Next,in view of the radial characteristics of the distribution network,the improved assessment indexes are proposed in the system dimension based on the complex network theory and the risk theory.Then,the improved assessment indexes are utilized to carry out a re-identification of the node vulnerability pre-assessment scheme of the distribution grid in the equipment dimension,so as to obtain the node vulnerability assessment scheme of the distribution network.identification,and obtain the distribution network node vulnerability ranking.Finally,the IEEE 33 node distribution system is examplified,and the data analysis of the example results and the comparison of the results of other literature verify the reasonableness and feasibility of the method provided.
文章编号:20241012     中图分类号:TM711    文献标志码:
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引用文本:
高玉栋,徐斌,贾瑞.计及设备健康指数的配电网节点脆弱性评估[J].上海电力大学学报,2024,40(1):73-79,86.
GAO Yudong,XU Bin,JIA Rui.Distribution Network Node Vulnerability Assessment Considering Equipment Health Indices[J].Journal of Shanghai University of Electric Power,2024,40(1):73-79,86.