李远, 苏适, 杨家全, 王志明, 潘振宁. 基于连接状态定位的智能变电站二次系统故障定位方法[J]. 智慧电力, 2024, 52(2): 63-70.
引用本文: 李远, 苏适, 杨家全, 王志明, 潘振宁. 基于连接状态定位的智能变电站二次系统故障定位方法[J]. 智慧电力, 2024, 52(2): 63-70.
LI Yuan, SU Shi, YANG Jia-quan, WANG Zhi-ming, PAN Zhen-ning. Fault Location Method for Intelligent Substation Secondary System Based on Connection State Location[J]. Smart Power, 2024, 52(2): 63-70.
Citation: LI Yuan, SU Shi, YANG Jia-quan, WANG Zhi-ming, PAN Zhen-ning. Fault Location Method for Intelligent Substation Secondary System Based on Connection State Location[J]. Smart Power, 2024, 52(2): 63-70.

基于连接状态定位的智能变电站二次系统故障定位方法

Fault Location Method for Intelligent Substation Secondary System Based on Connection State Location

  • 摘要: 变电站二次回路及系统运行状态因设备自身及物理连接等原因具有一定的不确定性,二次系统故障定位难度较大。提出一种基于连接状态定位的智能变电站二次系统故障定位方法。首先将二次系统设备拓扑连接关系抽象为矩阵描述,二次系统设备节点状态量作为相应矩阵元素;然后通过矩阵算法对二次系统连接状态进行定位,确定与故障有关的矩阵元素;在连接状态定位后利用模糊径向基神经网络将故障相关矩阵元素与故障集中各故障情况对应,进行故障搜索定位。故障算例结果表明,所提出的二次系统故障定位方法具有较高的准确率。

     

    Abstract: The secondary circuit of substation and the operating state of system have certain uncertainties caused by the equipment itself and physical connection,and it is difficult to locate the fault in the secondary system. This paper proposes a fault location method for the secondary system in smart substations based on connection state location. Firstly,the topological connection relationship of the secondary system equipment is abstracted into a matrix description,and the state parameters of the secondary system are used as the corresponding matrix elements. Then the secondary system connection state is located with a matrix algorithm to determine the matrix elements related to the fault. After locating the connection state,the fuzzy radial basis(RBF)neural network is used to make the fault correlation matrix elements corresponding to the fault conditions in a fault set,and the fault search and location are carried out. The results of the fault example show that the proposed fault location method for the secondary system has high fault location accuracy.

     

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