基于节点脆弱度的主动配电网量测终端配置规划方法  

Planning Method of Measurement Terminals in Active Distribution Networks Based on Node Vulnerability

作　　者：李秋硕 李童佳 林冬 裴丛仙子 李伟华 张玮 LI Qiushuo;LI Tongjia;LIN Dong;PEI Congxianzi;LI Weihua;ZHANG Wei(Digital Grid Research Institute,CSG,Guangzhou 510663,China;Shenzhen Power Supply Co.,Ltd.,Shenzhen 518001,China)

机构地区：[1]南方电网数字电网研究院有限公司,广东广州510663 [2]深圳供电局有限公司,广东深圳518001

出　　处：《供用电》2021年第10期35-40,共6页Distribution & Utilization

基　　金：中国南方电网有限公司数字电网研究院有限公司科技项目(670000KK52200089)。

摘　　要：随着智能电网的不断发展,配电网的运行状态、电能质量分析等均需要大量的远程终端单元、同步向量测量单元等量测装置。针对量测终端的优化配置问题,提出了一种基于节点脆弱度的主动配电网量测终端配置规划方法。首先提出节点度、节点介数与节点电能质量需求等有源配电网节点脆弱度指标计算方法,通过熵权法将其作为各节点量测终端配置成本的权重;然后以设置的系统不可观测深度为约束条件,以考虑节点脆弱度的配置成本最小为目标函数,将配电网量测终端配置转化为组合优化问题,建立满足多种业务需求的量测终端配置规划模型,并提出了基于自适应遗传算法的模型求解方法;最后,利用改进的IEEE 33节点算例验证了所提方法的有效性。With the continuous development of smart grid,a large number of SCADA,PMU,fault indicator and other measuring devices are required for operation state and power quality analysis of distribution network.In order to optimize the configuration of measurement terminals,an active distribution network measurement terminal configuration planning method based on node vulnerability is proposed.Firstly,a calculation method of node vulnerability index in active distribution network is proposed,considering node degree,node intermediate number and node power quality demand the entropy weight method being used as the weight of each node's measuring terminal configuration cost.Setting the system unobservable observation depth as constraint conditions,considering node vulnerability configuration cost minimum as objective function,transforming the distribution network measurement terminal configuration into a combinatorial optimization problem,a measurement terminal configuration planning model satisfying various business requirements is established,and a model solving method based on adaptive genetic algorithm is proposed.The effectiveness of the proposed method is verified by an improved IEEE 33 bus example.

关 键 词：量测终端 节点脆弱度 熵权法 不可观深度 自适应遗传算法 

分 类 号：TM91[电气工程—电力电子与电力传动]