基于神经网络算法的10 kV配电变压器容载比
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  • 英文篇名:Capacity-load Ratio of 10 kV Power Distribution Transformer Based on Neural Network Algorithm
  • 作者:尚晋 ; 何奉禄 ; 蔡广林 ; 曾庆彬
  • 英文作者:SHANG Jin;HE Fenglu;CAI Guanglin;ZENG Qingbin;Dongguan Power Supply Bureau of Guangdong Power Grid Co.,Ltd.;Guangzhou Power Electrical Engineering Technology Co.,Ltd.;
  • 关键词:配电网 ; 配电变压器 ; 容载比 ; 负荷分散系数 ; 反向传播神经网络
  • 英文关键词:power distribution network;;power distribution transformer;;capacity-load ratio;;load dispersion coefficient;;back propagation neural network
  • 中文刊名:GDDL
  • 英文刊名:Guangdong Electric Power
  • 机构:广东电网有限责任公司东莞供电局;广州市奔流电力科技有限公司;
  • 出版日期:2017-04-25
  • 出版单位:广东电力
  • 年:2017
  • 期:v.30;No.230
  • 语种:中文;
  • 页:GDDL201704027
  • 页数:6
  • CN:04
  • ISSN:44-1420/TM
  • 分类号:165-170
摘要
根据相关标准、导则及10 kV配电网的特点,分析配电变压器容载比各参数并进行适当修正。利用反向传播(backpropagation,BP)神经网络算法得到负荷同时率与主要影响因素的映射关系,得到最优负荷分散系数,并结合具体地区实例展示10 kV配电变压器容载比的确定方法。该方法充分考虑了地区负荷特点,避免以往盲目按照导则或标准全省、市一刀切执行的情况。
        According to relevant standards,guide rules and characteristics of 10 kV power distribution networks,this paper analyzes parameters of capacity-load ratio of the power distribution transformer and makes suitable amendment. By using back propagation(BP) neural network algorithm,it obtains mapping relation between load coincidence factor and major influencing factors and the optimal load dispersion coefficient. Combining with regional actual examples,it shows determination method for capacity-load ratio of the 10 kV power distribution transformer which fully considers characteristics of regional load and avoids blind execution in the whole province and cities according to guide rules or standards.
引文
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