Improving solar power usage with electric vehicles: Analyzing a public-private partnership cooperation scheme based on evolutionary game theory
被引:68
作者:
Fang, Yujuan
论文数: 0引用数: 0
h-index: 0
机构:
Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R ChinaTsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
Fang, Yujuan
[1
]
Wei, Wei
论文数: 0引用数: 0
h-index: 0
机构:
Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R ChinaTsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
Wei, Wei
[1
]
Liu, Feng
论文数: 0引用数: 0
h-index: 0
机构:
Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R ChinaTsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
Liu, Feng
[1
]
Mei, Shengwei
论文数: 0引用数: 0
h-index: 0
机构:
Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R ChinaTsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
Mei, Shengwei
[1
]
Chen, Laijun
论文数: 0引用数: 0
h-index: 0
机构:
Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R ChinaTsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
Chen, Laijun
[1
]
Li, Junjun
论文数: 0引用数: 0
h-index: 0
机构:
Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R ChinaTsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
Li, Junjun
[1
]
机构:
[1] Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
Evolutionary game theory;
Solar power;
Electric vehicle;
Public-private partnership cooperation;
CRITICAL SUCCESS FACTORS;
CHARGING INFRASTRUCTURE;
TECHNOECONOMIC ANALYSIS;
RISK-ASSESSMENT;
ENERGY-STORAGE;
PPP PROJECTS;
CHINA;
GENERATION;
INTEGRATION;
IMPLEMENTATION;
D O I:
10.1016/j.jclepro.2019.06.001
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
The research on renewable energy utilization has attracted much attention in recent years with the increasing awareness of sustainable development and environmental protection from the public. To promote the usage of solar power, a public-private partnership program is suggested which encourages investment companies to cooperate with residents by setting up rooftop solar panels and receiving payment from electric vehicle users. In order to analyze the willingness of each stakeholder participating in such a program, an evolutionary game model is established considering three populations. The evolutionary stable strategies of the game are calculated and stability conditions are analyzed. Eight scenarios of equilibriums and corresponding stable conditions are obtained. The situation that all players are willing to cooperate exists in reality. The impact of five key parameters which affect the cooperation behaviors is discussed in details. Results demonstrate that by properly controlling the subsidy policy and pricing strategy, the cooperation mode can be changed from any original status into the desired target. This research provides government agency useful information for design appropriate policies/business modes so as to promote renewable energy utilization. (C) 2019 Elsevier Ltd. All rights reserved.
机构:
North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R ChinaNorth China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
Liu, Jicheng
;
Wei, Qiushuang
论文数: 0引用数: 0
h-index: 0
机构:
North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R ChinaNorth China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
机构:
North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R ChinaNorth China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
Liu, Jicheng
;
Wei, Qiushuang
论文数: 0引用数: 0
h-index: 0
机构:
North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R ChinaNorth China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China