Real time load forecast in power system

被引：13

作者：

Daneshi, H. ^{[1
]}

Daneshi, A. ^{[1
]}

机构：

[1] LCG Consulting Engn, Los Altos, CA 94022 USA

来源：

2008 THIRD INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES, VOLS 1-6 | 2008年

关键词：

artificial neural network; load forecast; power system simulation; quantitative method; real time load forecast; regression method; time series; very short-term load forecast;

D O I：

10.1109/DRPT.2008.4523494

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper presents an overview of different practical techniques to forecast the load for real time applications. The accuracy of load forecast often determines the amount of energy to be procured in the imbalance market. Therefore to reduce exposures to real-time risks and obtain economic, reliable and secure operations of power system, an accurate real-time forecast is required. It can be used by vertically integrated utilities as well as the ISOs in restructured power system. In this paper, we discuss different approaches based on time series and artificial neural network (ANN). The ISO New England market data are used to illustrate and compare the models.

引用

页码：689 / 695

页数：7

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