应用BP网络进行短期负荷预报的研究  

The Application of BP Network in Short-Time Load Forecasting of Power System

作　　者：武自芳[1] 胡华清[1] 

机构地区：[1]西安交通大学,710049

出　　处：《系统工程与电子技术》1997年第5期69-72,76,共5页Systems Engineering and Electronics

摘　　要：本文对用BP网络进行电力短期负荷预报的方法进行了探讨,阐述了人工神经网络用于学习电力负荷变化与主要相关因素的关系,并提出当原始数据准确性较差时,根据负荷规律,利用日负荷曲线和系统日负荷电量对其进行伪数据视别和校正的方法。本文的算例表明,该方法对电力调度具有一定的指导作用。This paper presents a method of application of BP network in short-time load fore-casting of power system. It expounds the relationship between the application of ANN in learning load changes and the major related factors. In view of the practical situation of Northwest power system, it gives a different load-forting modes. According to the rule of load changes, it uses both daily load curve and daily load sum of the system to identify and correct the false data when the ac-curacy of the original data is not good. The example in this paper shows that this method is not on-ly practical and effective , but also easy to calculate. So it has got certain directive function in pow-er dispatch.

关 键 词：电力负载 电力网 BP网络 短期负荷预报 

分 类 号：TM715[电气工程—电力系统及自动化]