Optimal planning of EV charging network based on fuzzy multi-objective optimisation

Kejun Qian, Juping Gu, Chengke Zhou, Yue Yuan, Xinsong Zhang, Hui Zhou

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)
164 Downloads (Pure)


Planning for electric vehicle (EV) charging facilities network plays a crucial role in boosting EV numbers, and also has direct impacts on the convenience of EV owners and the operation of distribution systems. Here, mathematical models for EV charging network planning are proposed with objectives to maximise the charging service capacity and to minimise power losses in distribution systems. The model proposed in this paper is a typical multi-objective decision-making model, with two optimisation objectives of different dimensions and also conflict with each other. Membership functions are introduced to transform the original planning model to a single objective optimisation problem based on the maximum satisfaction degree by fuzzy processing the two optimisation objectives. The proposed model is solved by genetic algorithm. In the end, a 25-node traffic network and an IEEE 33-node distribution system are utilised to verify the models and the solving techniques presented here.
Original languageEnglish
Pages (from-to)1-5
Number of pages5
JournalCIRED – Open Access Proceedings Journal
Publication statusPublished - Oct 2017


  • EV charging
  • distribution systems
  • mathematical models


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