可再生能源
环境经济学
夏普里值
博弈论
政府(语言学)
过程(计算)
能源工程
产业组织
业务
计算机科学
微观经济学
经济
工程类
电气工程
哲学
操作系统
语言学
作者
Jiajun Ning,Lixin Xiong
出处
期刊:Energy
[Elsevier BV]
日期:2023-11-25
卷期号:288: 129758-129758
被引量:45
标识
DOI:10.1016/j.energy.2023.129758
摘要
Based on the cooperative-evolutionary game model, this paper studies the dynamic evolution process of the digital transformation strategy selection of renewable energy power plants and renewable energy selling enterprises under government supervision. Renewable energy power plants, renewable energy selling enterprises, and the government are taken as the game players. The Shapley value based on the cooperation game distributes the cooperation benefits brought about by the digital transformation of enterprises and analyses the dynamic evolution process of the strategy of the three-party game players based on evolutionary game theory. Then, based on the system dynamics model, Anylogic and Vensim software are used to simulate the cooperative evolutionary game model, and a sensitivity analysis of the key factors affecting the system stability is carried out. The results show that the "digital transformation" of renewable-energy power plants and renewable-energy selling enterprises will bring about cooperation benefits and promote their joint promotion of digital transformation. Government incentives can accelerate the digital transformation of renewable energy companies. The increase in economic, environmental, and social benefits brought about by the digital transformation of renewable energy enterprises promotes the speed of the digital transformation of renewable energy power plants and renewable energy selling enterprises.
科研通智能强力驱动
Strongly Powered by AbleSci AI