尚晋, 何奉禄, 蔡广林, 曾庆彬. 基于神经网络算法的10 kV配电变压器容载比[J]. 广东电力, 2017, 30(4): 143-148. DOI: 10.3969/j.issn.1007-290X.2017.04.025
引用本文: 尚晋, 何奉禄, 蔡广林, 曾庆彬. 基于神经网络算法的10 kV配电变压器容载比[J]. 广东电力, 2017, 30(4): 143-148. DOI: 10.3969/j.issn.1007-290X.2017.04.025
SHANG Jin, HE Fenglu, CAI Guanglin, ZENG Qingbin. Capacity-load Ratio of 10 kV Power Distribution Transformer Based on Neural Network Algorithm[J]. Guangdong Electric Power, 2017, 30(4): 143-148. DOI: 10.3969/j.issn.1007-290X.2017.04.025
Citation: SHANG Jin, HE Fenglu, CAI Guanglin, ZENG Qingbin. Capacity-load Ratio of 10 kV Power Distribution Transformer Based on Neural Network Algorithm[J]. Guangdong Electric Power, 2017, 30(4): 143-148. DOI: 10.3969/j.issn.1007-290X.2017.04.025

基于神经网络算法的10 kV配电变压器容载比

Capacity-load Ratio of 10 kV Power Distribution Transformer Based on Neural Network Algorithm

  • 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。

     

    Abstract: 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.

     

/

返回文章
返回