基于自组织临界性的电力异构通信网络稳定性研究  

Research on power heterogeneous communications network stability with SOC

作　　者：李映雪[1] 朱文广[1] 黄超[1] 熊宁[1] LI Yingxue ZHU Wenguang HUANG Chao XIONG Ning(Jiangxi Electric Power Company Economic Research Institute, Nanchang 330043, Chin)

机构地区：[1]江西省电力公司经济技术研究院,江西南昌330043

出　　处：《电力系统保护与控制》2017年第5期118-122,共5页Power System Protection and Control

摘　　要：电力异构通信网络在未来的智能电网中起着重要的作用,但是其结构复杂,极易发生大面积网络的瘫痪。针对此问题,利用复杂网络中的自组织临界性理论,将电力异构网络按照三角剖分理论划分为多个子区域,根据各个节点发生关联故障的概率指标,提出了一种改进的遗传算法。此算法搜索关键的故障网络节点,对关键的故障网络节点进行维护或切断,从而使电力异构通信网络处于自组织而远离临界状态,最终避免了大面积网络瘫痪事件的发生。仿真结果表明,所提算法在多种网络拓扑结构下具有鲁棒性。Power heterogeneous communication networks plays an important role in the future smart grid.Due to its complex structure, power heterogeneous communication networks can be easily paralyzed in large-area network.To solve this problem, according to a complex network of self-organized criticality theory, the power of heterogeneous networks using the theory of triangulation is divided into some sub-regions, and according to the each node failures associated probability as metrics, an improved genetic algorithm to search for key network node failures is proposed, and the critical failure network nodes are maintained or cut off, so that the power of heterogeneous communication network is in self-organized and keeps away from critical state, thus avoiding a large area network paralysis event.Simulation results show that the algorithm is of effectiveness and robustness in variety of networks.

关 键 词：电力异构通信网络 自组织临界性 关键网络节点 遗传算法 复杂网络 

分 类 号：TM73[电气工程—电力系统及自动化]