由于信息设备和电力设备地理位置的高度重合和功能的高度依赖,依存关系和信息传输失效导致的故障跨网传播成为电力信息物理系统(cyber-physical power system,CPPS)连锁故障的新特性。为辨识CPPS关键耦合节点,指导电网安全防控,针对电网网内故障传播特性,构建改进的PageRank(PR)算法,以电压安全裕度指标作为算法阻尼因子动态协调有功功率传输与电压灵敏度;针对网间故障传播特性,建立节点功能性耦合关系并映射至信息网的载荷状态和网络效率指标,提出CPPS耦合关键节点辨识方法;提出基于CPPS连锁故障模拟的验证方法,以耦合网络连通性和源荷调整代价作为指标评估连续攻击节点效果,验证所提CPPS关键耦合节点辨识方法的有效性和优越性。
Abstract
Due to the high geographic overlap and functional dependence of information equipment and power equipment
fault propagation across the network due to dependence and information transmission failure has become a new characteristic of cascading failures in cyber-physical power system (CPPS). In order to identify the key coupling nodes of CPPS and guide the safety prevention and control of power grid
this paper constructs an improved PageRank (PR) algorithm for the fault propagation characteristics of power grid
and uses the voltage safety margin index as the damping factor to dynamically coordinate the active power transmission and voltage sensitivity. For the inter-network fault propagation characteristics
the functional coupling relationship of nodes is established and mapped to the load state and network efficiency index of the information network
and the CPPS coupling key node identification method is proposed. This paper proposes a validation method based on CPPS cascading failure simulation to evaluate the effect of successive attacking nodes with the coupled network connectivity and source-load adjustment cost as the indexes
which verifies the validity and superiority of the proposed CPPS coupling key node identification method.