DocumentCode :
136966
Title :
Probabilistic small signal stability analysis of power system with large scale wind power
Author :
Zhang Wei ; Dan Wei ; San Ming Liu ; Ming Li Yang ; San Bo Pan ; Xiao Wei Zhu ; Zhi Gang Pan
Author_Institution :
Coll. of Electr. Eng., Shanghai Dian Ji Univ., Shanghai, China
fYear :
2014
fDate :
Aug. 31 2014-Sept. 3 2014
Firstpage :
1
Lastpage :
4
Abstract :
Large-scale new energy grid brings plenty of influence to the power system, so research on wind turbine grid for power system stability has become a hot topic. Although the traditional small signal stability analysis method of the deterministic power system is relatively mature, the uncertainty of wind turbine output brings challenge to the stability analysis of the power system connected with large-scale wind turbines. The discrete point estimation method which is also the uncertain approximation theory is applied into the stability analysis of the power system involved a massive wind turbines in this paper, based on the traditional small signal stability analysis of deterministic power system. In order to verify the correctness of the method proposed in this paper, experiments of the New England 39 node 10 machine power system based on Monte Carlo simulation (MCS) were performed.
Keywords :
Monte Carlo methods; power grids; power system stability; probability; wind turbines; Monte Carlo simulation; New England 39 node 10 machine power system; discrete point estimation; large scale wind power; power system stability analysis; probabilistic small signal stability analysis; uncertain approximation theory; wind turbine grid; wind turbines; Eigenvalues and eigenfunctions; Estimation; Power system stability; Probabilistic logic; Stability analysis; Wind power generation; Wind turbines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-4240-4
Type :
conf
DOI :
10.1109/ITEC-AP.2014.6941214
Filename :
6941214
Link To Document :
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