会议专题

Analysis on the self-organized critical state with power flow entropy in power grids

The existence of the self-organized criticality has significant consequences for power system operation. Different from the previous cascading failures models in power system, a novel conception, entropy of power flow which can represent the distribution of power flow, is introduced to study the effect of heterogeneity to critical state. Simulation results show that the load loss for cascading failure increases as the power flow entropy adds and increase sharply when the entropy be large enough even with the system at very low loading level. It is affirmed that the power tails and the consequent risk of large blackouts could be substantially reduced by lowering power flow entropy to obtain an exponential tail for large blackouts.

self-organized criticality Cascading failures Hidden failure model entropy Blackouts

Lijie Ding Zhejing Bao

Test and Research Institute Sichuan Electric Power Chengdu, China College of Electrical Engineering Zhejiang University Hangzhou, China

国际会议

2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

长沙

英文

1944-1947

2009-10-10(万方平台首次上网日期,不代表论文的发表时间)