小世界网络下电网连锁故障预测  

Cascading Failures Prediction of Transmission Network in Small World Network

作　　者：潘一飞[1] 李华强[1] 贺含峰 王伊渺[1] 廖苑晰[1] 李扬[1] 

机构地区：[1]四川大学电气信息学院,智能电网四川省重点实验室,成都610065 [2]四川省电力公司科技信通部,成都610041

出　　处：《电力系统及其自动化学报》2013年第2期148-153,共6页Proceedings of the CSU-EPSA

摘　　要：电网连锁故障可能导致大规模停电等严重后果,小世界网络是复杂网络理论中重要网络模型之一。该文首先提出了基于小世界网络构建合理的拓扑模型,建立预测连锁故障优先级的方法。其次,构造了建立在物理特性、电气参数、功率损耗等因素基础上的加权电气介数,结合完整的支路静态能量函数模型,建立了映射潮流变化的能量指标。再次,提出了反映电网发生故障后小世界网络模型的状态和结构变化的综合性裕度指标预测连锁故障。最后,将该算法在IEEE-57母线系统中进行算例分析,仿真结果表明所提预测方法能够快速、准确地搜索出较严重的连锁故障模式集,验证了该方法的合理性、有效性。The cascading failure of power grid condition can cause serious accidents including large-scale power cut. The small-world network is an important net model of complex net theories. In this paper, based on the small-word network construction, reasonable construction of topology model was put forward to establish the method of forecasting chain fault priority. Secondly, the weighted electrical betweenness was constructed based on the factors of physical properties, electrical parameters, power loss, etc. By combining with complete branch static energy function model, an energy index was built to map the change of flow. Again, the comprehensive margin index of predicting the cascad- ing failures was proposed to reflect the state and structure change of the small-world network model after the power grid failure. Finally, the algorithm was applied in IEEE-57 bus system for example analysis. The simulation results showed that the proposed prediction method can quickly and accurately search out more serious chain failure mode set, which verified the rationality and effectiveness of this method.

关 键 词：小世界网络 连锁故障 静态能量函数 搜索优先级 加权电气介数 

分 类 号：TM712[电气工程—电力系统及自动化]