期刊
IET GENERATION TRANSMISSION & DISTRIBUTION
卷 13, 期 15, 页码 3421-3432出版社
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-gtd.2019.0486
关键词
battery powered vehicles; fuzzy set theory; optimisation; decision making; power distribution planning; transportation; electric vehicle charging; environmentally friendly electric vehicles; multiobjective synergistic planning model; EV flow; multiobjective grey wolf optimiser algorithm; fuzzy satisfaction-based decision-making method; final planning scheme; IEEE 123-bus distribution system; 25-node transportation network; EV fast-charging stations; distribution system; FCS; MOGWO algorithm
The adoption of environmentally friendly electric vehicles (EVs) is increasing over the years due to the increased awareness of energy and environmental challenges. However, the current growth is slow because of lack of proper charging infrastructures. This study proposes a multi-objective synergistic planning model of an EV charging station considering the interaction between the distribution system and transportation networks as the fast charging of EVs affects the operation of both networks. The developed model minimises the power losses and voltage deviation of the distribution system and maximises the EV flow served by the fast charging station (FCS) simultaneously taking into account permissible waiting time and service radius of FCS. Multi-objective grey wolf optimiser (MOGWO) algorithm is used to obtain the non-dominated solutions and fuzzy satisfaction-based decision-making method is employed to reach final planning scheme. The effectiveness of the proposed model is investigated on the IEEE 123-bus distribution system coupled with a 25-node transportation network. The influence of different objectives, service radius and waiting time on the planning of FCS is also explored. Results reveal that the developed method can provide rational siting and sizing of FCS and it is also found that proper service radius and waiting time provide more convenience to the customer.
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