Cost Minimization Control for Smart Electric Vehicle Car Parks

被引：0

作者：

Su, Xiaoke ^{[1
]}

Yue, Hong ^{[1
]}

机构：

[1] Univ Strathclyde, Dept Elect & Elect Engn, Glasgow G1 1XW, Lanark, Scotland

来源：

2018 24TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING (ICAC' 18) | 2018年

关键词：

electric vehicle (EV); demand side cost; battery degradation; vehicle-to-grid (V2G); driving probability; optimisation; BUS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The high demand side cost of electric vehicles (EVs) affects the wide use of EVs in practice. In this paper, a mathematical model is built to investigate the cost of the demand side by controlling EVs charging and discharging status, so that the demand side cost can be minimised under given tariffs. The battery degradation cost, the driving probability and the vehicle-to-grid (V2G) rebates are considered in the model. The most economic charging and discharging strategy for each EV can be determined through global optimisation. Simulation studies demonstrate the cost reduction through optimization.

引用

页码：8 / 13

页数：6

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