Gu, Juping

Qian, Kejun

Yuan, Yue

Zhang, Xinsong

Zhou, Chengke

Zhou, Hui

English

Kejun Qian

Juping Gu

Chengke Zhou

Yue Yuan

Xinsong Zhang

Hui Zhou

Crossref

CIRED - Open Access Proceedings Journal

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

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

ResearchOnline@GCU

https://researchonline.gcu.ac.uk/files/25284768/CIR_2017_0551.pdf

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

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ResearchOnline@GCU