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논문 기본 정보

자료유형
학술저널
저자정보
Jian Zuo (Huazhong University of Science and Technology) Yinhong Li (Huazhong University of Science and Technology) Defu Cai (Huazhong University of Science and Technology) Dongyuan Shi (Huazhong University of Science and Technology)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.9 No.6
발행연도
2014.11
수록면
1,832 - 1,842 (11page)

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초록· 키워드

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A novel probabilistic small signal stability analysis (PSSSA) method considering load correlation is proposed in this paper. The superiority Latin hypercube sampling (LHS) technique combined with Monte Carlo simulation (MCS) is utilized to investigate the probabilistic small signal stability of power system in presence of load correlation. LHS helps to reduce the sampling size, meanwhile guarantees the accuracy and robustness of the solutions. The correlation coefficient matrix is adopted to represent the correlations between loads. Simulation results of the two-area, four-machine system prove that the proposed method is an efficient and robust sampling method. Simulation results of the 16-machine, 68-bus test system indicate that load correlation has a significant impact on the probabilistic analysis result of the critical oscillation mode under a certain degree of load uncertainty.

목차

Abstract
1. Introduction
2. Fundamental Theory
3. Proposed Method
4. Case Study
5. Conclusion and Future Work
References

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UCI(KEPA) : I410-ECN-0101-2015-500-002704014