Journal of Electrical Engineering and Technology

The Korean Institute of Electrical Engineers (대한전기학회)
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Stochastic Integrated Generation and Transmission Planning Incorporating Electric Vehicle Deployment

  • Moon, Guk-Hyun (School of Electrical Engineering, Korea University) ;
  • Kong, Seong-Bae (School of Electrical Engineering, Korea University) ;
  • Joo, Sung-Kwan (School of Electrical Engineering, Korea University) ;
  • Ryu, Heon-Su (Power System Planning Team, Korea Power Exchange (KPX)) ;
  • Kim, Tae-Hoon (Power System Planning Team, Korea Power Exchange (KPX))
  • Received : 2012.04.20
  • Accepted : 2012.08.24
  • Published : 2013.01.02
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Abstract

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.

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References

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