DocumentCode
2892091
Title
A real-time generator-angle prediction method based on the modified grey Verhulst model
Author
Deng, Hui ; Zhao, Jinquan ; Liu, Yongjun ; Wu, Xiaochen
Author_Institution
Coll. of Energy & Electr. Eng., Hohai Univ., Nanjing, China
fYear
2011
fDate
6-9 July 2011
Firstpage
179
Lastpage
184
Abstract
A novel curve fitting method based on the grey Verhulst model for perturbed trajectory prediction of post-fault rotor angle is presented in this paper. For avoiding self-error in the model, the unbiased grey model is realized. An error correction scheme is proposed for improving the prediction precision by using two new coming phasor measurements to predict the error. Compared with the trigonometric function and the auto regression model, the proposed method has better prediction effects. Numerical simulations are conducted in IEEE 39-bus system and the China Southern Power Grid to test the effectiveness of the proposed method. The results show that the modified grey Verhulst model works better than the original grey Verhulst model both for the stable and unstable cases.
Keywords
curve fitting; electric generators; error correction; grey systems; phase measurement; power grids; power system measurement; power system stability; regression analysis; rotors; China Southern power grid; IEEE 39-bus system; auto regression model; curve fitting method; error correction scheme; modified grey Verhulst model; perturbed trajectory prediction precision; phasor measurement; post fault rotor angle; real-time generator angle prediction method; trigonometric function; unbiased grey model; Generators; Mathematical model; Power grids; Power system stability; Predictive models; Rotors; Trajectory; Curve fitting; Grey Verhulst Model; Phsor Measurement Unit; Post-fault Rotor-Angle Trajectory Prediction; Wide-area Measurement system;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2011 4th International Conference on
Conference_Location
Weihai, Shandong
Print_ISBN
978-1-4577-0364-5
Type
conf
DOI
10.1109/DRPT.2011.5993884
Filename
5993884
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