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논문 기본 정보

자료유형
학술저널
저자정보
Jae-Kun Lyu (Seoul National University) Jae-Haeng Heo (Seoul National University) Mun-Kyeom Kim (Dong-A University) Jong-Keun Park (Seoul National University)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.8 No.3
발행연도
2013.5
수록면
453 - 463 (11page)

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초록· 키워드

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The probabilistic nature of renewable energy, especially wind energy, increases the needs for new forms of planning and operating with electrical power. This paper presents a novel approach for determining the short-term generation schedule for optimal operations of wind energy-integrated power systems. The proposed probabilistic security-constrained optimal power flow (P-SCOPF) considers dispatch, network, and security constraints in pre- and post-contingency states. The method considers two sources of uncertainty: power demand and wind speed. The power demand is assumed to follow a normal distribution, while the correlated wind speed is modeled by the Weibull distribution. A Monte Carlo simulation is used to choose input variables of power demand and wind speed from their probability distribution functions. Then, P-SCOPF can be applied to the input variables. This approach was tested on a modified IEEE 30-bus system with two wind farms. The results show that the proposed approach provides information on power system economics, security, and environmental parameters to enable better decision-making by system operators.

목차

Abstract
1. Introduction
2. Uncertainty Modeling
3. Correlated Wind Speed and its Power
4. Problem Formulation
5. Case Study
6. Conclusion
References

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