引用本文:王 涛,岳贤龙,顾雪平,张 尚,赵宝斌.基于奇异值熵和潮流分布熵的电网关键节点辨识[J].电力自动化设备,2016,36(4):
WANG Tao,YUE Xianlong,GU Xueping,ZHANG Shang,ZHAO Baobin.Power grid critical node identification based on singular value entropy and power flow distribution entropy[J].Electric Power Automation Equipment,2016,36(4):
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基于奇异值熵和潮流分布熵的电网关键节点辨识
王 涛, 岳贤龙, 顾雪平, 张 尚, 赵宝斌
华北电力大学 新能源电力系统国家重点实验室,河北 保定 071003
摘要:
从熵理论角度出发,综合考虑奇异值熵和潮流分布熵,提出关键节点综合评估指标。奇异值熵表征节点负荷变化对系统中节点电压幅值的影响,潮流分布熵体现节点负荷变化对系统中线路潮流分布的影响。关键节点综合评估指标从电气学的角度解释节点负荷变化对系统带来的威胁。基于系统平均负载率和能量熵定义系统安全指标,通过对节点的连续攻击分析评估模型的有效性和正确性。仿真结果验证了所提方法的有效性。
关键词:  关键节点    奇异值熵  潮流分布熵  系统安全指标  静态攻击
DOI:
分类号:
基金项目:国家自然科学基金资助项目(51277076);中央高校基本科研业务费专项资金资助项目(13MS108)
Power grid critical node identification based on singular value entropy and power flow distribution entropy
WANG Tao, YUE Xianlong, GU Xueping, ZHANG Shang, ZHAO Baobin
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University,Baoding 071003,China
Abstract:
A comprehensive evaluation index of power grid critical node is proposed based on the entropy theory,which considers the singular value entropy and power flow distribution entropy to explain the threat of nodal load variation to power system. The singular value entropy represents the impact of nodal load variation on the nodal voltage amplitude of power system while the power flow distribution entropy represents the impact of nodal load variation on the line power flow distribution in power system. A system safety index is defined based on the system average load rate and energy entropy. The successive attacks on the node are applied to analyze the effectiveness and accuracy of the proposed evaluation model. The effectiveness of the proposed method is verified by the simulative results.
Key words:  critical node  entropy  singular value entropy  power flow distribution entropy  system safety index  static attack

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