引用本文:周依希,李晓明,瞿合祚,等.基于AHP-灰色关联度的复杂电网节点综合脆弱性评估[J].电力系统保护与控制,2018,46(23):86-93.
ZHOU Yixi,LI Xiaoming,QU Hezuo,et al.Node integrated vulnerability assessment of complex power grid based on AHP-gray relational degree method[J].Power System Protection and Control,2018,46(23):86-93
【打印本页】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 5131次   下载 2545 本文二维码信息
码上扫一扫!
分享到: 微信 更多
基于AHP-灰色关联度的复杂电网节点综合脆弱性评估
周依希1,李晓明1,瞿合祚1,刘 恒2,史文超1
(1.武汉大学电气工程学院,湖北 武汉 430072;2.湖北省电力公司孝感供电公司,湖北 孝感 432000)
摘要:
针对现有脆弱节点辨识方法存在的评估指标片面、指标权重不够准确等问题,从电网拓扑结构、系统当前运行状态及节点故障后果影响三方面出发,构建了层次化的节点脆弱性指标体系。在传统结构脆弱性指标的基础上,综合考虑事故后电压裕度、系统整体负载率、线路潮流冲击等因素,并提出AHP-灰色关联度的综合评估模型。该模型在决策过程中计及专家的经验知识,将指标的价值系数体现在客观关联度中,并引入动态分辨系数调整策略,实现了专家经验主观性和节点数据客观性的良好结合。仿真结果表明,该方法比传统方法能更有效地辨识出电网中的脆弱节点,具有一定的实用价值。
关键词:  脆弱性指标体系  加权潮流冲击熵  AHP-灰色关联度  动态分辨系数调整
DOI:10.7667/PSPC171758
分类号:
基金项目:国家自然科学基金项目资助(51277134)
Node integrated vulnerability assessment of complex power grid based on AHP-gray relational degree method
ZHOU Yixi1,LI Xiaoming1,QU Hezuo1,LIU Heng2,SHI Wenchao1
(1. School of Electrical Engineering, Wuhan University, Wuhan 430072, China;2. Xiaogan Power Supply Company, Hubei Electric Power Corporation, Xiaogan 432000, China)
Abstract:
Most of existing node vulnerability assessment methods fail to present a full view of evaluation and the index weights are inaccurate. To solve these problems, this paper starts analysis from the topology of the system, the current safe operation of the power system as well as the consequence of a node failure, and constructs a hierarchical node vulnerability assessment index system taking the structural vulnerability of power grid, voltage margin after accident, overall system load rate, and line flow impact into account. On this basis, a comprehensive evaluation model of AHP-gray relevance is proposed, integrating indicator value coefficients into objective grey-relevance. And a dynamic resolution coefficient adjustment strategy is used to achieve the combination of both subjective preference and objective data. The simulation results show that this method can identify the vulnerable nodes in the power grid more effectively than the traditional methods, which means the proposed model has certain practical value. This work is supported by National Natural Science Foundation of China (No. 51277134).
Key words:  vulnerability index system  weighted power shock entropy  AHP-gray relational degree  dynamic resolution coefficient adjustment
  • 1
X关闭
  • 1
X关闭