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基于改进渗流理论的信息物理融合电力系统连锁故障模型
引用本文:韩宇奇,郭创新,朱炳铨,徐立中.基于改进渗流理论的信息物理融合电力系统连锁故障模型[J].电力系统自动化,2016,40(17):30-37.
作者姓名:韩宇奇  郭创新  朱炳铨  徐立中
作者单位:浙江大学电气工程学院, 浙江省杭州市 310027,浙江大学电气工程学院, 浙江省杭州市 310027,国网浙江省电力公司, 浙江省杭州市 310007,国网浙江省电力公司, 浙江省杭州市 310007
基金项目:国家自然科学基金资助项目(51537010);国家重点基础研究计划(973 计划)资助项目(2013CB228206)
摘    要:基于改进渗流理论,提出了考虑物理层电网潮流分析与信息层延时的信息物理融合电力系统连锁故障模型。将连锁故障的动态发展描述为故障在信息层、物理层交替传播扩大的多阶段过程,在分析故障在物理层传播的阶段中考虑物理层电网潮流,在脆弱度指标中综合拓扑完整度、信息层延时增量及物理层实际运行指标。对信息层、物理层不同对应依靠策略及节点攻击策略的连锁故障建模仿真表明拓扑中心度对应依靠策略呈现较低的脆弱度;物理层分区设立分布式控制中心与集中式控制中心的结构相比,能提高连锁故障发展中信息层的运行实时性。同时,节点蓄意攻击相比于随机攻击能造成发展更迅速,影响范围更广的连锁故障。

关 键 词:信息物理融合电力系统  复杂网络  连锁故障  渗流理论  脆弱度
收稿时间:2016/4/11 0:00:00
修稿时间:8/1/2016 12:00:00 AM

Model Cascading Failures in Cyber Physical Power System Based on Improved Percolation Theory
HAN Yuqi,GUO Chuangxin,ZHU Bingquan and XU Lizhong.Model Cascading Failures in Cyber Physical Power System Based on Improved Percolation Theory[J].Automation of Electric Power Systems,2016,40(17):30-37.
Authors:HAN Yuqi  GUO Chuangxin  ZHU Bingquan and XU Lizhong
Affiliation:College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China,College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China,State Grid Zhejiang Electric Power Company, Hangzhou 310007, China and State Grid Zhejiang Electric Power Company, Hangzhou 310007, China
Abstract:This paper presents a model of the cyber physical power system(CPPS)cascading failures based on the improved percolation theory. In this model, the dynamic developing process of cascading failures in CPPS is divided into several stages. The physical layer power grid AC power flow analysis is incorporated in the stage corresponding to the failure propagating in the physical layer. The vulnerable indices include both topological integration, the increment of cyber layer delay and physical layer operation status. Simulations of cascading failures in the CPPS with various interdependence interface and node attack strategies show that the topological centrality interface strategy exhibits better robustness, compared with the centralized control center, the distributed control center strategy in the physical layer can improve the time-delay situation in the cyber layer during the cascading failures. Meanwhile, the topological centrality based node deliberate attack strategy can cause more rapidly developing cascading failures and heavier damages to the CPPS. This work is supported by National Natural Science Foundation of China(No.51537010)and National Basic Research Program of China(973 Program)(No. 2013CB228206).
Keywords:cyber physical power system  complex networks  cascading failure  percolation theory  vulnerability
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