摘要
针对主接线拓扑结构复杂的750kV变电站故障恢复问题,提出一种基于遗传算法的变电站故障恢复方法.该方法通过分析750kV变电站电压等级特性及设备间连接状态,对主接线进行分区处理并构建变电站故障信息矩阵与故障判定矩阵,运用深度优先搜索算法搜索失电区域.在此基础上,根据一次设备当前运行状态构建操作代价矩阵与故障恢复矩阵,以设备操作代价、非故障失电区域最小为恢复目标,利用遗传算法进行求解,获取合理的开关操作表,完成故障区域隔离及非故障停电区域正常供电.算例分析结果表明了该方法的有效性.
A method based on genetic algorithm is proposed to solve the fault recovery of 750 kV substation whose main wiring topology is complex. The method is used to dispose partitioning of the main wiring topology of substation and to construct the substation fault information matrix and fault judgment matrix by analyzing voltage level characteristics and connected state among equipments of 750 kV substation,then the depth-first search algorithm is proposed to search the power failure region of the substation. On this basis, the matrix of operating cost and fault recov- ery are constructed by current running states of the equipment. Considering the operating cost of equipments and the non-fault power failure region as fault recovery goals, the genetic algorithm is used to solve the model so as to obtain the reasonable switching operation table. Thus fault regions are isolated and non-fault regions are recovered normally. The result of example analysis shows that the proposed method is effective.
出处
《兰州交通大学学报》
CAS
2016年第4期72-78,共7页
Journal of Lanzhou Jiaotong University
基金
国家自然科学基金(61165006)
国网甘肃省电力公司科技项目(52274514005W)
