DocumentCode :
3149710
Title :
Power system probabilistic small signal stability analysis using two point estimation method
Author :
Yi, Haiqiong ; Hou, Yunhe ; Cheng, Shijie ; Zhou, Hui ; Chen, Gonggui
Author_Institution :
Huazhong Univ. of Sci. & Technol., Wuhan
fYear :
2007
fDate :
4-6 Sept. 2007
Firstpage :
402
Lastpage :
407
Abstract :
A so-called two-point estimation (TPE) method is presented in this paper for power system probabilistic small signal stability (PSSS) analysis. With the development of power systems under open access environment, it is highly desired to investigate power system stability with uncertainties in both system parameters and operating conditions. Monte Carlo simulation (MCS) method has been widely used for this purpose. However, this method is very time-consuming. The TPE based method proposed in this paper provides a way to solve this problem to some extent. It estimate the statistical characteristics of random variables with less calculation requirement while keeping enough calculating precision. The TPE based method for the PSSS analysis is outlined. Then, the model as well as the stable indices for power system PSSS are presented. The effectiveness of the proposed method is verified by the simulation results on a 3- generator-9-node power system.
Keywords :
Monte Carlo methods; estimation theory; power system stability; 3-generator-9-node power system; Monte Carlo simulation; open access environment; power system stability; probabilistic small signal stability analysis; random variables; two point estimation; Power system analysis computing; Power system modeling; Power system planning; Power system reliability; Power system simulation; Power system stability; Power system transients; Signal analysis; Stability analysis; Uncertainty; eigenvalue; point estimation; probabilistic analysis; small signal stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Universities Power Engineering Conference, 2007. UPEC 2007. 42nd International
Conference_Location :
Brighton
Print_ISBN :
978-1-905593-36-1
Electronic_ISBN :
978-1-905593-34-7
Type :
conf
DOI :
10.1109/UPEC.2007.4468981
Filename :
4468981
Link To Document :
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