Risk-aware day-ahead scheduling and real-time dispatch for plug-in electric vehicles

Lei Yang, Junshan Zhang, Dajun Qian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

This paper studies risk-aware day-ahead scheduling and real-time dispatch for plug-in electric vehicles (EVs), aiming to jointly optimize the EV charging cost and the risk of the load mismatch between the forecasted and the actual EV loads, due to the random driving activities of EVs. It turns out that the inclusion of the load mismatch risk in the objective function complicates the risk-aware day-ahead scheduling and indeed the optimization problem is nonconvex. A key step is to utilize the hidden convexity structure to recast it as a two-stage stochastic linear program, which can be solved by using the L-shaped method. Further, we develop a distributed risk-aware real-time dispatch algorithm, where the aggregator only needs to compute the shadow prices for each EV to optimize its own charging strategy in a distributed manner. We show, based on real data, that the proposed risk-aware day-ahead scheduling algorithm can reduce not only the overall charging cost, but also the peak demand of EV charging.

Original languageEnglish (US)
Title of host publication2012 IEEE Global Communications Conference, GLOBECOM 2012
Pages3026-3031
Number of pages6
DOIs
StatePublished - Dec 1 2012
Event2012 IEEE Global Communications Conference, GLOBECOM 2012 - Anaheim, CA, United States
Duration: Dec 3 2012Dec 7 2012

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference

Other

Other2012 IEEE Global Communications Conference, GLOBECOM 2012
CountryUnited States
CityAnaheim, CA
Period12/3/1212/7/12

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Keywords

  • Electric vehicles
  • distributed algorithm
  • smart charging
  • smart grids

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Yang, L., Zhang, J., & Qian, D. (2012). Risk-aware day-ahead scheduling and real-time dispatch for plug-in electric vehicles. In 2012 IEEE Global Communications Conference, GLOBECOM 2012 (pp. 3026-3031). [6503578] (GLOBECOM - IEEE Global Telecommunications Conference). https://doi.org/10.1109/GLOCOM.2012.6503578