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论文摘要

考虑静态能量分布的电力系统复杂网络特性研究

An Investigation of Complex Network Characteristics of Power System Based on Static Energy Distribution

作者:刘友波(四川大学 电气信息学院;四川省智能电网重点实验室);刘俊勇(四川大学 电气信息学院;四川省智能电网重点实验室);李俊(四川大学 电气信息学院;四川省智能电网重点实验室);刘利民(四川大学 电气信息学院;四川省智能电网重点实验室)

Author:Liu Youbo(School of Electrical Eng.and Info., Sichuan Univ.;Sichuan Provincial Key Lab. of Intelligent Electric Power Grid);Liu Junyong(School of Electrical Eng.and Info., Sichuan Univ.;Sichuan Provincial Key Lab. of Intelligent Electric Power Grid);Li Jun(School of Electrical Eng.and Info., Sichuan Univ.;Sichuan Provincial Key Lab. of Intelligent Electric Power Grid);Liu Limin(School of Electrical Eng.and Info., Sichuan Univ.;Sichuan Provincial Key Lab. of Intelligent Electric Power Grid)

收稿日期:2010-10-09          年卷(期)页码:2011,43(5):179-184

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:复杂网络;元件信息;标度特性;小世界;静态能量函数

Key words:complex network; element information; scale feature; small world; static energy theory

基金项目:国家自然科学基金资助项目(50977059)

中文摘要

电力系统具有强非线性和时变性,电网结构在状态过渡中是否具有某种关键特性值得深入研究。在复杂网络研究基础上,结合静态能量函数理论,将支路静态势能作为边权引入电力系统复杂网络建模中,明确计入能量信息的网络参数物理意义。大量仿真表明,与结构拓扑特征相似,电力系统过渡状态亦在一定程度上具有如标度与小世界等典型的复杂网络特性,其支路势能分布存在指数型与幂律型统计特征,说明在电网状态转化过程中,某些线路或局部元件起到了比其他元件重要得多的作用。这一现象的发现将为研究电力系统不同稳定运行点过渡过程中,能量分布视角下的复杂电网动态演化过程提供新的思路。

英文摘要

Based on the research of complex network, branch potential energy was proposed as edge weight to be included in the complex network modeling of power system. Element information and network parameters were also analyzed. Simulation results illustrated that, like topology distribution features, some transition variables ware proved to have typical complex network characteristics, such as scale and small-world. The static branch energy distribution was found to be exponential and power-law distribution. The phenomenon indicated that there are some elements that play much more important role than others in the status transition. It presented a new idea for studying the state evolution of power system from the perspective of static energy distribution.

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