Hybrid Forecasting Model of Reactive Load Based on FOA and Linear Exponential Smoothing

Article Preview

Abstract:

During the prediction of Linear exponential smoothing model,the value of the coefficient has a little blindness,which is always valued by experience.This paper uses FOA model to optimize it in Linear exponential smoothing model,constructing the hybrid forecasting model this paper uses to predict the reactive load of a substation.Then,this paper uses the hybrid forecasting model to forecast reactive load.The results show that:compared with the traditional Linear exponential smoothing model,the hybrid forecasting model is effective not only on selecting parameter values ,but also improving the prediction accuracy of the reactive load to a big extent.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

500-504

Citation:

Online since:

October 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Qi Ying, Predetermination and application of Linear Exponential Smoothing Model, Journal of Being Institute of Machinery, 4th., vol. 19, pp.50-55, (2011).

Google Scholar

[2] BI Lei, XIAO Ben-xian, YU Hai-bin , Contour error compensating method based on Linear exponential smoothing model prediction technique, JOURNAL OF HEFEI UNIVERSITY OF TECHNOLOGY , 4th., vol. 19, pp.1166-1170, (2010).

Google Scholar

[3] Wang Bo, Hu Xiang-yong, Lin Tian-bao, An Improvement of Single-Index Moving Method with Fuzzy Set Theory, J . of Univ . of Hydr . & Elec . Eng . /Yichang, 2nd., vol. 21, pp.133-136, (1999).

Google Scholar

[4] H ESEN, F OZGEN, M ESEN, Modeling of a new solar air heater through least square support vector machine, Expert Systems with Applications, 7th., vol. 36, pp.10673-10682, (2010).

DOI: 10.1016/j.eswa.2009.02.045

Google Scholar

[5] LI Hong-ze, GUO Sen, LI Chun-jie, A Hybrid Forecasting Model Based on Fruit Fly Optimization Algorithm and Least Squares Support Vector Machine: -the Case of Logistics Demand Forecasting of China, JOURNAL OF QUANTITATIVE ECONOMICS, 3rd., vol. 29, pp.103-106, (2012).

DOI: 10.3390/en5114430

Google Scholar

[6] K. Tomsovic, A fuzzy linear programming approach to the reactive power/voltage control problem, IEEE Trans. on Power Systems, 1st., vol. 7, pp.287-293.

DOI: 10.1109/59.141716

Google Scholar

[7] LI Xiu-qing, WANG Tao, WANG Kai, et al. A hybrid strategy based on ACO and IPM for optimal reactive power flow, 1st., Relay, vol. 36, pp.22-26.

Google Scholar

[8] Dommel H, Tinney W F, Optimal power flow solutions, IEEE Transactions on Power Apparatus and Systems, 10th., vol. 87, pp.1866-1876.

DOI: 10.1109/tpas.1968.292150

Google Scholar

[9] XU Jin-dong, DING Xiao-qun, QIN Zhen-cheng, et al. A nonlinear predictor-corrector interior point method for reactive power optimization in power system, Power System Technology, 9th., vol. 29, pp.36-40, (2005).

Google Scholar

[10] WANG Cheng-shan, ZHANG YI, Optimal reactive power planning using Bender's decomposition of the CSU-EPSA, 4th., vol. 5, pp.47-50, (2003).

Google Scholar