1. Planning of Electric Vehicle Charging Stations Considering Fuzzy Selection of Second Life Batteries
- Author
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Lin, Jiafeng, Qiu, Jing, Yang, Yi, and Lin, Weidong
- Abstract
The increasing sales of electric vehicles (EVs) in the market poses critical questions for the public on how to deal with millions of retired batteries (RBs). A number of studies have shown that second-life batteries (SLBs) from EVs usually have a considerable remaining capacity and hence still have additional utilization value. This article proposes a novel fuzzy inference system (FIS)-based planning framework for EV charging stations with wind, PV power, battery energy storage system and the utilization of SLBs (EVCS-WPE-SLBs system). In this framework, a narrowed and the most probable candidate node set for EVCS-WPE-SLBs system which makes the trade-off of several off-site factors from different fields that jointly determine the optimal planning results is obtained, including the installation and utilization requirements of SLBs, the transportation network features and power system properties. Numerical case studies are conducted on a coupled IEEE 33-bus distribution system and 25-node transportation system. According to the simulation results, the reasonable utilization of SLBs in the EVCS-WPE-SLBs system can reduce the total system cost while maintaining the normal operation of the system. Besides, a narrowed and most probable candidate node set not only reduces the search space and simplifies the optimization problem, but the results obtained are more practical according to the actual system conditions in real life.
- Published
- 2024
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