A Data Pretreatment Method about Power System Load Modeling

Article Preview

Abstract:

Short-term load forecasting is one of the most important routine works for power dispatch departments. The accuracy of load forecasting will exert direct effects on the safety, economy and stabilization of the power system running. Portrait and transverse comparability are employed to distinguish and correct bad load data, while wavelet analysis and multiple-time-period analysis used to eliminate long-term increasing weights, thus reducing the impact of the high-speed load increase on the accuracy of load forecasting.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

125-130

Citation:

Online since:

December 2012

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Papalexopoulos A D, Hesterberg T C. A regression-based approach to short-term system load forecasting. IEEE Transactions on Power Systems[J]. Vol.5, Issue.4, Nov. 2010, Pages:1535-1547.

DOI: 10.1109/59.99410

Google Scholar

[2] Amjady N, Short-term hourly load forecasting using time-series modeling with peak load estimation capability. IEEE Transactions on Power Systems[J], Vol.16, Issue.3, Aug. 2006, Pages:498-505.

DOI: 10.1109/59.932287

Google Scholar

[3] Moghram I, Rahman S. Analysis and evaluation of five short-term load forecastingtechniques. IEEE Transactions on Power Systems[J], Vol.4, Issue.4, Nov. 1989,Pages:1484-1491.

DOI: 10.1109/59.41700

Google Scholar

[4] Komprej I, Zunko P. Short term load forecasting[A]. Proceeding of The 6th Mediterranean Electrotechnical Conference[C], IEEE, Ljubljana, 22-24 May, 2001.

DOI: 10.1109/melcon.1991.161761

Google Scholar

[5] Trudnowski D J, McReynolds W L, Johnson J M. Real-time very short-term loadprediction for power-system automatic generation control. IEEE Transactions on Control Systems Technology[J], Vol.9, Issue:2, March 2001, Pages:254-260.

DOI: 10.1109/87.911377

Google Scholar

[6] Chan S H, Ngan H W, Chow W L. A flexible load f orecasting model for integrated resources planning. Proceedings of[A]. DRPT 2008. International Conference on Electric Utility Deregulation and Restructuring and Power Technologies[C], 4-7 April 2000, Pages:562-565

DOI: 10.1109/drpt.2000.855726

Google Scholar