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논문 기본 정보

자료유형
학술저널
저자정보
Hao Yue (North China Electric Power University) Gengyin Li (North China Electric Power University) Ming Zhou (North China Electric Power University)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.8 No.6
발행연도
2013.11
수록면
1,605 - 1,614 (10page)

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초록· 키워드

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This paper presents a probabilistic methodology for small signal stability analysis of power system with correlated wind sources. The approach considers not only the stochastic characteristics of wind speeds which are treated as random variables with Weibull distributions, while also the wind speed spatial correlations which are characterized by a correlation matrix. The approach based on the 2m+1 point estimate method and Cornish Fisher expansion, the orthogonal transformation technique is used to deal with the correlation of wind farms. A case study is carried out on IEEE New England system and the probabilistic indexes for eigenvalue analysis are computed from the statistical processing of the obtained results. The accuracy and efficiency of the proposed method are confirmed by comparing with the results of Monte Carlo simulation. The numerical results indicate that the proposed method can actually capture the probabilistic characteristics of mode properties of the power systems with correlated wind sources and the consideration of spatial correlation has influence on the probability of system small signal stability.

목차

Abstract
1. Introduction
2. Wind Speed Correlation
3. Probabilistic Small Signal Stability Analysis
4. Solution Method
5. Case Study
6. Conclusion
References

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