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基于加权复杂网络模型的恢复路径优化方法 被引量:42

A New Optimization Method for Determining Restoration Paths Based on Weighted Complex Network Model
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摘要 输电网络重构是电力系统大停电或部分停电后进行恢复的第2个阶段,如何确定恢复的目标骨架网络及其恢复路径序列是该阶段的主要任务。文中提出了一种新的基于加权复杂网络模型的输电网络重构优化算法,考虑了节点有功发电出力和有功负荷(特别是重要负荷)的大小以及各节点在网络中的分布情况和重要性程度,并利用了加权复杂网络模型中衡量网络枢纽性的介数指标来优化恢复路径。该算法可以得到最优的恢复路径序列和目标骨架网络,克服了现有方法在确定目标骨架网络和优化恢复路径序列这2个输电网络重构环节严重脱离的缺点,并在一定程度上解决了现有的恢复路径优化方法采用专家经验或分段寻优策略而无法得到最优解的问题。最后,以新英格兰10机39节点系统为例说明了所提出的方法的基本特征。 The transmission-network reconfiguration is the second step of power system restoration after a complete blackout or a local outage. The most important issues in this step are to determine the optimal skeleton-network for reconfiguration and to optimize the sequence of restoration paths. Based on the weighted complex network model, a new transmission-network reconfiguration method is presented. The generation capacity of non-black-start generators and that of the important loads, as well as the distribution and importance degree of each bus, are taken into account in the proposed method. The weighted edge betweenness, which reflects the importance of each edge in the network interconnection, is employed to direct the optimization of restoration paths, and the global optimal sequence of restoration paths could then be obtained. The optimal skeleton-network in which important generation and load buses are included could also be obtained. Hence, the problem associated with the existing methods in which the restoration paths and the skeleton-network are separately optimized could then be solved at least to some extent by using the pro on the experience of experts or system is employed to illustrate posed method. The shortcomings of the existing methods for optimizing restoration paths based the section-searching strategy could be overcome. Finally, the New England 10-unit 39-bus the essential features of the proposed method.
出处 《电力系统自动化》 EI CSCD 北大核心 2009年第6期11-15,103,共6页 Automation of Electric Power Systems
基金 教育部新世纪优秀人才支持计划资助项目(NCET-04-0818)~~
关键词 电力系统恢复 输电网络重构 复杂网络 介数 power system restoration transmission network reconfiguration complex network theory betweenness
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