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Power System Linear Model Reduction Based on the Balanced Gramian Method |
Zhang Zhe1,Zhao Hongshan1,Li Zhiwei2,Lan Xiaoming1,Shi Ning1 |
1.North China Electric Power University Beijing 102206 China 2.Chen zhou Electric Power Supply Bureau Chenzhou 423000 China |
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Abstract This paper studies a large-scale linear power system model reduction problem using the balanced truncation and residualization method. The process of model reduction is based on an approximations solution of the Lyapunov equation. First,the Lyapunov equation is solved by the alternating direction implicit (ADI) method; then,using the Cholesky factors of the controllability and observability gramians,the balancing transformation matrix and the Hankel singular values of power system dynamic model. Next,the reduction models of power system are obtained by the above proposed method are calculnted. Finally,the four-generator test power system and IEEE 50-generator test power system are analyzed for model reduction by the proposed method,and some simulating curves are given on the Dymola platform. The results of simulation show that the proposed method is very efficient.
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Received: 20 June 2011
Published: 11 December 2013
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