影响电力系统自组织临界的新因素

C. Liang, Wenying Liu, Jifeng Liang, Zheng Chen
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引用次数: 2

摘要

提出了在特定运行状态下,电力系统自组织临界性与电网的均匀度有关的观点。利用网络拓扑熵来表征电网的均匀度,在此基础上提出了一种模拟电力系统自组织临界的模型。用该模型对ieee39总线系统进行了仿真,结果表明,在负荷和流量分布均匀的情况下,电网均匀度越高,发生级联故障的概率越低。此外,平衡电网的均匀度可以有效地防止大规模灾害性停电,降低进入电力自组织临界状态的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new factor affecting self-organized criticality in power system
An original view is proposed that, under specific running state, power system self-organized criticality is related to power grid's uniform degree. The uniform degree of power grid was characterized by network topology entropy, and then a model to simulate power system self-organized criticality is proposed. Simulations in an IEEE39-bus system with the proposed model show that, under the uniform loading and flow distribution, the higher grid's uniform degree, the lower probability of power cascading failure will be. Furthermore, balancing power grid's uniform degree can effectively prevent large-scale disastrous blackouts and reduce the risk of entering power self-organized criticality state.
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