首页|基于BP神经网络的配电线路线损分析

基于BP神经网络的配电线路线损分析

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作为衡量电力企业经济效益的重要指标,线损一直是国内外专家学者关注的重点.研究了配电线路线损计算方法,并采用BP神经网络对配电线路线损进行分析,并从技术层面和管理层面给出了降低线损的措施.通过研究可以得出,采用BP神经网络可以准确计算出配电线路的线损率,并通过算例分析验证该方法的有效性.加强无功电压控制是降低线损的重要技术措施,对线路功率数据准确监测、提高对配电线路信息化管理是降低线损的管理措施.
Analysis of Distribution Wire Line Loss Based on BP Neural Network
As an important index to measure the economic benefits of electric power enterprises,line loss has al-ways been the focus of experts and scholars at home and abroad.This paper studies the calculation method of distri-bution line loss,and uses BP neural network to analyze distribution line loss,and gives measures to reduce line loss from the technical level and management level.Through the study of this paper,the line loss rate of the distribution line can be calculated accurately by using BP neural network,and the effectiveness of this method can be verified by example analysis.Strengthening the control of reactive voltage is an important technical measure to reduce the line loss.Accurately monitoring the line power data and improving the information management of the distribution line are the management measures to reduce the line loss.

line loss ratedistribution lineneural networkactive powerreactive power

马隽遥

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国网河南省电力公司洛阳供电公司,河南 洛阳 471000

线损率 配电线路 神经网络 有功功率 无功功率

2024

电气开关
沈阳电气传动研究所

电气开关

影响因子:0.281
ISSN:1004-289X
年,卷(期):2024.62(5)