Comprehensive evaluation of commercial operation mode for electric vehicle charging based on value-chain analysis

被引：0

作者：

Zeng B. ^{[1
]}

Bai J. ^{[1
]}

Zhang Y. ^{[2
]}

Sun E. ^{[3
]}

机构：

[1] State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing

[2] Shenhua Guohua(Beijing) Electric Power Research Institute Co., Ltd., Beijing

[3] State Grid Qingdao Power Supply Company, Qingdao

来源：

Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2018年 / 38卷 / 07期

基金：

中国国家自然科学基金;

关键词：

Charging service; Commercial operation modes; Comprehensive evaluation index system; Electric vehicles; Matter element extension model; Value-chain;

D O I：

10.16081/j.issn.1006-6047.2018.07.003

中图分类号：

学科分类号：

摘要：

A comprehensive evaluation model of EV(Electric Vehicle) charging commercial operation benefit is proposed. Based on the theory of value-chain, the internal and external value-chain and the construction principle of index system for EV charging commercial operation project are analyzed. A comprehensive evaluation index system is proposed, which includes the benefit of government, investment operator and user of EV charging commercial operation modes. Special attention is paid on the aging characteristics and the value-added links of internal and external value-chain of the commercial operation modes. On this basis, a real-time combined weighting-matter element extension comprehensive evaluation model is further proposed according to the index characteristics. Consequently, quantitative comprehensive benefit evaluation of EV charging commercial operation modes can be achieved. Different from traditional deterministic evaluation approaches, the proposed method considers the aging characteristics and the uncertainty in EV charging market, and introduces an approach that combines the expert real-time scoring and the entropy weight. In this way, the proposed model can achieve a reasonable balance between the information value of attributes and the subjective experiences, and improve the robustness and discrimination ability in practical applications. © 2018, Electric Power Automation Equipment Press. All right reserved.

引用

页码：21 / 27and34

页数：2713

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