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논문 기본 정보

자료유형
학술저널
저자정보
Guk-Hyun Moon (Korea University) Seong-Bae Kong (Korea University) Sung-Kwan Joo (Korea University) Heon-Su Ryu (Korea Power Exchange (KPX)) Tae-Hoon Kim (한국전력거래소)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.8 No.1
발행연도
2013.1
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1 - 10 (10page)

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초록· 키워드

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The power industry is currently facing many challenges, due to the new environment created by the introduction of smart grid technologies. In particular, the large-scale deployment of electric vehicles (EVs) may have a significant impact on demand for electricity and, thereby, influence generation and transmission system planning. However, it is difficult to deal with uncertainties in EV charging loads using deterministic planning methods. This paper presents a two-stage stochastic decomposition method with Latin-hyper rectangle sampling (LHRS) to solve the integrated generation and transmission planning problem incorporating EV deployment. The probabilistic distribution of EV charging loads is estimated by Latin-hyper rectangle sampling (LHRS) to enhance the computational performance of the proposed method. Numerical results are presented to show the effectiveness of the proposed method.

목차

Abstract
1. Introduction
2. Problem Formulation
3. Stochastic Integrated Generation and Transmission Planning Method Incorporating Electric Vehicle Charging Load
4. Numerical Results
5. Conclusion
Acknowledgements
References

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