摘要
通过采用线损二项式、人工神经网络两种方法在供电管理中进行电力网线损率预测。通过引入线损二项式、以及对过网电量、供电量的增长、功率因数等单一因素的计算分析,提出了线损预测方法;通过引入人工神经网络(ANN)中BP网络的学习推理能力,建立网络模型,建立供电量与线损率的对应关系,采用样本数据对神经网络训练得出预测线损率。根据计算电网改造项目对线损率的影响对预测结果进行修正。通过结合上述两种方法,并根据历史数据修正线损预测结果,指导降低管理线损。
This paper applies line loss binomial calculation method and artificial neural network method to forecast line loss. By introducing line loss binomial calculation method and the single influence ingredient of the power consumption passing through power grid, the increment of power consumption and power factor, an idea for line loss forecast is proposed. By introducing a hybrid method used ANN＇s capability of learning and illation, a network model and the relationship of supplying power consumption and line loss are built, which are trained to forecast line loss by the sample date. At last, the result of line loss forecasting must be corrected by calculating the reformed project of power grid. The result of line loss is corrected by combining two methods and past data to lower manageable line loss.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2010年第7期77-80,共4页
Power System Protection and Control
关键词
二项式
供电量
功率因素
线损
BP神经网络
负荷预测
binomial
supplying power consumption
power factor
line loss
BP artificial neural
load forecasting
