查询结果:   刘亚丽,李英娜,李川.基于遗传算法优化BP神经网络的线损计算研究[J].计算机应用与软件,2019,36(3):72 - 75.
中文标题
基于遗传算法优化BP神经网络的线损计算研究
发表栏目
应用技术与研究
摘要点击数
1240
英文标题
LINE LOSS CALCULATION OF OPTIMIZED BP NEURAL NETWORK BASED ON GENETIC ALGORITHM
作 者
刘亚丽 李英娜 李川 Liu Yali Li Yingna Li Chuan
作者单位
昆明理工大学信息工程与自动化学院 云南 昆明 650500     
英文单位
School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, Yunnan, China     
关键词
线损计算 BP神经网络 遗传算法 优化
Keywords
Line loss calculation BP neural network Genetic algorithm Optimization
基金项目
国家自然科学基金项目(51567013)
作者资料
刘亚丽,硕士,主研领域:电力数据挖掘,人工智能。李英娜,副教授。李川,教授。 。
文章摘要
为了准确计算低压台区配电网的线损,提出遗传算法优化BP神经网络的配电网理论线损计算。通过电网线路获取线路特征参数,对特征参数建立BP神经网络的预测模型;根据BP神经网络的拓扑结构中的权值和阈值来确定染色体长度;通过遗传算法来确定BP神经网络的参数,拟合影响线损的特征参数和线损的复杂关系。该算法减少了线损计算误差,计算时间少,稳定性增强。
Abstract
In order to accurately calculate the line loss of distribution network in low-voltage stations, we proposed the theoretical line loss calculation of distribution network of optimized BP neural network based on genetic algorithm. Line characteristic parameters were obtained through network lines, and BP neural network prediction model for characteristic parameters was established. We determined the chromosome length according to the weights and thresholds in the topological structure of BP neural network. The parameters of BP neural network were determined by genetic algorithm, and the complex relationship between the characteristic parameters and the line loss was fitted. The algorithm reduces the calculation error of line loss, reduces the calculation time and enhances the stability.
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