基于模糊粗糙集和GA-BP神经网络的配电网故障选线方法OACSTPCD
Faulty Line Detection Method for Distribution Network Based on Fuzzy Rough Sets and GA-BP Neural Network
针对BP神经网络故障选线当输入数据量大时，其结构复杂、收敛慢，并且易陷入局部最优的缺点，将模糊粗糙集和遗传算法优化神经网络的方法引入配电网单相接地故障选线中。通过MatLab仿真试验，得出大量的各线路零序电流信号，并将多种提取的特征量进行信息融合。利用粗糙集理论对条件属性进行约简，去掉冗余条件属性，将约简后的属性作为输入层的BP神经网络，然后通过遗传算法优化BP神经网络进行训练和测试。测试结果表明，该方法具有训练速度快、误判率低的优点，能够满…查看全部>>
This paper proposes particle swarm optimization method of BP neural network into a single distribution network in the phase to ground fault line. The MatLab simmulation tests show that it obtained the line of zero sequence current signals and a variety of extract characteristic information fusion. We use particle swarm optimization method of BP neural network for fault line. In order to verify the efficiency of the algorithm and the superiority, we respect…查看全部>>
兰华;朱锋
东北电力大学 电气工程学院，吉林 吉林132012莆田电业局，福建 莆田351100
信息技术与安全科学
遗传算法故障选线BP神经网络配电网粗糙集模糊
genetic algorithmsfault lineBP neural networkdistribution networkzero sequence current signalsfuzzy
《南方电网技术》 2013 (1)
90-94,5
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