摘要
为有效监测电压暂降以及准确定位扰动源位置,提出了可观约束下的电压暂降定位监测点的多目标优化配置方法。基于测点间正序电压变化量的相关性,定义了暂降特征模式,通过寻找最优匹配模式进行故障定位,同时定义不确定区域指数作为测点集的定位准确性指标。以全网电压暂降可观为约束条件,以监测点数量最少和不确定区域指数最小为目标函数,建立监测点多目标优化模型。采用多目标离散粒子群算法求解模型,得到非劣解集。通过IEEE 39和IEEE 118节点系统验证了该方法的可行性和有效性。
A multi-objective optimal method of monitors for voltage sag location under observability constraint is proposed.It uses positive sequence voltage variation as sag pattern and defines the distance of pattern to find the most likely fault location.Then the uncertainty region index is defined to measure the locating accuracy of the measuring set.Finally the multi-objective monitoring optimization model is established which takes the observability of voltage sag as the constraint condition and takes the minimum number of monitoring points and the minimum uncertainty index as the objective function.The multiobjective discrete particle swarm optimization algorithm is used to get the non-inferior solution set.The feasibility and validity of the method are verified by IEEE 39 and IEEE 118 node system.
作者
张嫣
林涌艺
邵振国
Zhang Yan;Lin Yongyi;Shao Zhenguo(College of Electrical Engineering and Automation Fuzhou University Fuzhou 350116 China;Fujian Smart Electrical Engineering Technology Research Center Fuzhou 350116 China;Quanzhou Electric Power Supply Company of State Grid Fujian Electric Power Company Quanzhou 362000 China)
出处
《电工技术学报》
EI
CSCD
北大核心
2019年第11期2375-2383,共9页
Transactions of China Electrotechnical Society
基金
国家自然科学基金(51777035)
福建省自然科学基金(2016J01219)资助
关键词
电压暂降定位
可观性
优化配置
多目标优化
Voltage sag location
observability
optimal allocation
multi-objective optimization
