摘要
针对电网故障事件等级判定需要自动识别电力故障元器件的问题,文中提出了一种基于深度优先搜索算法的电力系统拓扑建模方法。首先根据电气元件端子数建立了各元器件的数据表;然后根据各端子连接情况,构建配电网拓扑结构;最后,为提高各元件的搜索速度,使用深度优先搜索算法进行快速查询。系统实现和仿真结果表明,基于深度优先搜索算法的电力系统拓扑模型提高了搜索的效率,在构造拓扑结构时只考虑闭合的刀闸和开关,从而克服了传统拓扑方法速度慢的确定,为加快电网风险等级自动判定提供了算法基础。
Aiming at the problem of automatic identification of power failure components in power system, a topology modeling based on depth-first search algorithm is proposed. Firstly, according to the number of terminals of the electrical components, establish the data tables of the components . Then, the topology of the distribution network is constructed according to the connection of each terminal. Finally, in order to improve the searching speed of each component, the depth-first search algorithm is used for quick query. The results of system implementation and simulation show that the topology model of power system based on depth-first search algorithm overcomes the shortcomings of traditional topology method search efficiency. When forming topological points, only the closed switches and switches are analyzed to improve the topology speed. The algorithm provides the basis of the risk level automatic judgment problem.
作者
朱凌
魏可慰
张琴
郭旭东
莫天文
ZHU Ling;WEI Ke-wei;ZHANG Qin;GUO Xu-dong;MO Tian-wen(Huizhou Power Supply Bureau,Guangdong Power Grid Co.,Ltd.,Huizhou 516003,China)
出处
《电子设计工程》
2018年第19期43-47,共5页
Electronic Design Engineering
