中国电机工程学报2012，Vol.32Issue(31)：142-149,前插19,9.
基于脆性风险熵的复杂电网连锁故障脆性源辨识模型
Brittleness Source Identification Model for Cascading Failure of Complex Power Grid Based on Brittle Risk Entropy
摘要
Abstract
The essence of cascading failure in complex power system, which is the main reason of large-scale blackouts, is brittleness process when the brittleness source is excited. To study how large-scale blackouts take place and the defense measures, meanwhile, find out the high-risk lines, the author proposed a brittleness source identification model for cascading failure based on brittleness theory of complex system. From the view that brittleness is the nature of power system, the model used power flow entropy to measure the condition of power grid, and analyzed the mechanism of cascading failure by brittleness relevance and entropy increase from component and macroscopic aspects respectively. Take the identifying method of brittleness sources and brittleness relevance degree of grid components into consideration, a determining process of high-risk lines was given. Through simulation of cascading failure, brittle risk entropy was applied to assess the impact of component outage from power grid operation and the load removed, and this can provide a basis for defensive strategy making. Taking Gansu power network as an example, the feasibility and effectiveness of the proposed defense model were validated.关键词
复杂电网/连锁故障/脆性源/脆性关联/脆性风险熵Key words
complex power grid/ cascading failure/brittleness source/ brittleness relevance/ brittle risk entropy分类
信息技术与安全科学引用本文复制引用
刘文颖,王佳明,谢昶,王维洲..基于脆性风险熵的复杂电网连锁故障脆性源辨识模型[J].中国电机工程学报,2012,32(31):142-149,前插19,9.基金项目
国家电网公司重点科技项目(2011103004). （2011103004）
