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作 者:王艳松[1] 刘珊 衣京波 薛永端[1] WANG Yansong;LIU Shan;YI Jingbo;XUE Yongduan(College of Information and Control Engineering,China University of Petroleum(East China),Qingdao 266580,China;Shengli Petroleum Administration,Shengli Power Plant,Dongying 257087,China)
机构地区:[1]中国石油大学(华东)信息与控制工程学院,山东青岛266580 [2]胜利石油管理局胜利发电厂,山东东营257087
出 处:《电力系统保护与控制》2018年第23期60-67,共8页Power System Protection and Control
基 金:山东省自然科学基金项目资助(ZR2012EEL20);国家自然科学基金项目资助(51477184);国家重点研发计划(2018YFB0904800)~~
摘 要:多电源配电网的故障定位和测距对快速排除故障、提高供电可靠性具有重要意义。以含分布式电源(DG)树状配电网的区间定位为基础,按区间特性将配电网分为两电源区段和单电源区段,建立故障等值回路与其相应的微分方程和最优估计离散模型。以电源端口电压电流、各FTU电流为输出量,以故障距离为状态量,利用强跟踪的卡尔曼滤波器算法求解最优估计离散模型,跟踪相间短路故障测距。通过搭建含DG的树状配电网,分析负载、故障点过渡电阻对故障测距结果的影响。算例分析表明,该算法跟踪速度快,受初值的影响小,不受DG接入位置和数量的影响,不受故障点过渡电阻的影响,受负载和树状分支结构影响较少,测距精度满足工程精度要求。Fault location of distribution network with multi-generation is of great significance to exclude the fault and improve the power supply reliability.The research in this paper is based on interval location of tree distribution network with distributed generation.The distribution network is divided into two power sections and single power sections according to the interval characteristics,the fault equivalent circuit with its corresponding differential equation and optimal estimation of discrete model are established.The method takes voltage and current of the power supply port and FTU current as output quantity,and the fault distance as state quantity.A strongly tracking Calman filter algorithm is used to solve the optimal estimation of discrete model and track the fault location of interphase short circuit.By building a tree distribution network with DG,the effect of load and transition resistance on fault location is analyzed.The simulation results show that the tracking speed of algorithm is fast and less affected by the initial value.It is not affected by the location or quantity of DG and transition resistance.It is also less affected by the load and tree topology.The location accuracy can meet the engineering accuracy requirements.
关 键 词:分布式电源 配电网 故障测距 最优估计离散模型 时变增益矩阵
分 类 号:TM75[电气工程—电力系统及自动化]
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