不同发展演化方式下的电网统计特性和鲁棒性分析  

Statistical properties and robustness analysis of power grids for various evolution

作　　者：冯乾[1] 马天琳[2] 齐程[2] 朱红路[2] 姚建曦[2] 亢楠[1] 施辉伟[1] 梁俊霞[1] 

机构地区：[1]云南电网公司北京能源新技术研究发展中心 [2]华北电力大学新能源电力系统国家重点实验室

出　　处：《华北电力大学学报（自然科学版）》2014年第4期35-40,共6页Journal of North China Electric Power University：Natural Science Edition

摘　　要：为获得较优的电网发展演化方式,基于复杂网络理论建立了与云南电网具有相同规模和相近连接数的改进无标度网络、局域世界网络、小世界电网和时空演化网络,并对比分析了上述5个网络的统计特性和对蓄意攻击的鲁棒性。分析结果表明,不同的发展演化方式得到的网络统计特性和鲁棒性均存在较大的差异,且容量增长对提高不同网络鲁棒性的效果不同。5个网络的拓扑结构分析结果表明容量和结构是影响网络鲁棒性的两个重要因素。所得结论可以为电网结构的规划和设计提供参考和依据。To obtain optimal evolution method of power grids, four networks are generated based on the complex net- work theory which are the improved scale-free network, the local world network, the small world power grid and the space time network. All of them have the same size and similar number of connections with the Yunnan power grid. Their statistical characteristics and robustness to deliberately attack are analyzed. It is observed that there are rather big differences among five networks, both their statistical characteristics and robustness. What＇ s more, their robustness increases differently with capacity. The topological structures of the five power grids are analyzed. The results indicate that both capacity and topological structure are important factors to the power grid robustness. The conclusion is helpful to designers＇ planning for power grid structure.

关 键 词：电网 鲁棒性 复杂网络 连锁故障 拓扑结构 

分 类 号：TM711[电气工程—电力系统及自动化]