文章基本信息

标题：Load Forecasting of Andhra Pradesh Grid using PSO, DE Algorithms
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作者：CH Jeevan Kumar ; M Veerakumari
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2012
卷号：1
期号：9
页码：179-184
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Load forecasting is an important component for power system energy management system. Precise load forecasting helps the electric utility to make unit commitment decisions, reduce spinning reserve capacity and schedule device maintenance plan properly. Besides playing a key role in reducing the generation cost, it is also essential to the reliability of power systems. Load forecasting plays an important role in power system planning, operation and control. Planning and operational applications of load forecasting requires a certain 'lead time' also called forecasting intervals. On the basis of lead time, load forecasts can be divided into four categories: very short-term forecasts, short-term forecasts, medium-term forecasts and long-term forecasts. In the present paper STLF is attempted and implemented using Matlab7.1 with evolutionary algorithms PSO and DE for the Andhra Pradesh Grid. The Load data of Andhra Pradesh grid of every month from the year 2007to 2011 was collected .Forecasted the Load data of next 5 years as one set and consecutive 5years as another set.
关键词：DE and PSO Algorithms