基于需求差异化的电网核心骨干网架构建  

Construction of the core backbone of network based on the needs differentiation

作　　者：汪凯[1] 吴军[1] 刘涤尘[1] 朱学栋[1] 高凡[1] 

机构地区：[1]武汉大学电气工程学院,武汉430072

出　　处：《电测与仪表》2018年第2期25-32,共8页Electrical Measurement & Instrumentation

基　　金：国家自然科学基金资助项目(51207114);国家电网重大专项:(SGCC-MPLG029-2012)

摘　　要：为了提高故障状态下电网保障重要负荷的能力,提出一种基于需求差异化的核心骨干网架构建方法。分别从负荷、电源和网架三个需求方面建立了核心骨干网架的数学模型,同时改进了网架连通性修复策略。采用引入了动态旋转角,早熟判断机制和混沌变异策略的改进量子粒子群算法进行模型的求解,并与量子粒子群算法和量子进化算法的搜索结果进行了对比分析。应用IEEE-118节点系统进行算例分析,结果表明能准确搜索出基于负荷、电源和网架需求的核心骨干网架,所提出的改进量子粒子群算法收敛快,能够克服陷入局部最优,收敛精度高。In order to improve the ability to protect the important load under the fault status,a construction method based on the needs differentiation of the core backbone network is presented. The mathematic models of core backbone network are established from three aspects of loads,sources and grids needs,and the network connectivity-repairing strategy is improved. The improved QBPSO is applied to solve the model with dynamic rotation angle,premature judgment mechanism and chaotic mutation strategy. Search results are compared and analyzed with quantum binary particle swarm algorithm( QBPSO) and quantum-inspired evolutionary algorithm( QEA). It is applied to the IEEE-118 system,and the results show that the method can accurately search the core backbone network based on loads,sources and grids needs. The proposed improved QBPSO has fast convergence and better optimum result,which can overcome the local optimum.

关 键 词：需求差异化 连通性修复 改进量子粒子群算法 早熟判断 混沌变异 

分 类 号：TM715[电气工程—电力系统及自动化]