Security constrained unit commitment-based power system dispatching with plug-in hybrid electric vehicles

Qiuna Cai, Zhao Xu, Fushuan Wen, Loi Lei Lai, Kit Po Wong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)


As plug-in hybrid electric vehicles (PHEVs) are expected to be widely used in the near future, a mathematical model is developed based on the traditional security constrained unit commitment (SCUC) formulation to address the power system dispatching problem with PHEVs taken into account. With the premise of power system secure operation, both the economic benefit for PHEV users and the carbon-emission costs are taken into account. Then, the features of PHEVs as mobile energy storage units are exploited to decouple the developed model into two sub-models, involving the unit commitment model and the charging and discharging scheduling model that includes AC power flow constraints. The optimal plug-in capacities for PHEVs and the schemes, including when and where charging and discharging occur, are obtained through a mixed integer programming algorithm and the Newton-Raphson load flow algorithm in addition to the optimal day-ahead unit commitment scheme. Finally, the feasibility and efficiency of the proposed model are verified with a 6-bus test system.
Original languageEnglish
Title of host publicationProceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015
Number of pages8
ISBN (Electronic)9781479966493
Publication statusPublished - 28 Sep 2015
Event13th International Conference on Industrial Informatics, INDIN 2015 - Robinson College, Cambridge, United Kingdom
Duration: 22 Jul 201524 Jul 2015


Conference13th International Conference on Industrial Informatics, INDIN 2015
Country/TerritoryUnited Kingdom


  • optimal charging and discharging scheduling
  • optimal dispatching
  • plug-in hybrid electric vehicle
  • unit commitment

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Industrial and Manufacturing Engineering
  • Instrumentation
  • Computer Networks and Communications
  • Control and Systems Engineering

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