Stochastic integrated generation and transmission planning incorporating electric vehicle deployment

Guk Hyun Moon, Seong Bae Kong, Sung Kwan Joo, Heon Su Ryu, Tae Hoon Kim

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalJournal of Electrical Engineering and Technology
Issue number1
Publication statusPublished - 2013 Jan


  • Electric vehicle (EV)
  • Latin hyper-rectangle sampling (LHRS)
  • Power system planning
  • Smart grid

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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