基于GA-BP神经网络的高质量配电网供电可靠性分析  

Analysis of Power Supply Reliability of High-quality Distribution Network Based on GA-BP Neural Network

作　　者：吴量 张丰丰 陈正华 钱宇昊 杨晓楠 李雨菲 陶永晋 徐丽君 WU Liang;ZHANG Fengfeng;CHEN Zhenghua;QIAN Yuhao;YANG Xiaonan;LI Yufeil;TAO Yongjin;XU Lijun(Yangzhou Power Supply Branch of State Grid Jiangsu Electric Power Co.,Ltd.,Jiangsu 225009,China;Tsinghua Sichuan Energy Internet Research Institute,Sichuan 610213,China;Yunnan University for Nationalities,Yunnan 650500,China)

机构地区：[1]国网江苏省电力有限公司扬州供电分公司,江苏225009 [2]清华四川能源互联网研究院,四川610213 [3]云南民族大学,云南650500

出　　处：《电子技术（上海）》2023年第2期124-126,共3页Electronic Technology

摘　　要：阐述一种基于GA-BP神经网络的高质量配电网供电可靠性预测方法,筛选出若干项目指标作为输入样本,将逐项指标的历史数据归一化到同一数量级,通过GA-BP神经网络训练,探讨利用训练好的网络模型,预测目标年份的供电可靠性。This paper describes a high quality distribution network power supply reliability prediction method based on GA-BP neural network, selects several project indicators as input samples,normalizes the historical data of each indicator to the same order of magnitude, and discusses how to use the trained network model to predict the power supply reliability of the target year through GA-BP neural network training.

关 键 词：智能算法 GA-BP神经网络 可靠性 高质量配电网 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP311.13[自动化与计算机技术—控制科学与工程] F426.61[经济管理—产业经济]