激励
可再生能源
文件夹
业务
构造(python库)
可再生能源组合标准
进化稳定策略
环境经济学
政府(语言学)
经济
过程(计算)
产业组织
微观经济学
计算机科学
公共经济学
博弈论
上网电价
财务
工程类
能源政策
哲学
电气工程
操作系统
语言学
程序设计语言
作者
Delu Wang,Chunxiao Li,Jinqi Mao,Qing Yang
标识
DOI:10.1016/j.renene.2023.01.015
摘要
The renewable portfolio standard (RPS) has become the primary policy tool to promote the transformation of the energy system. However, in the RPS implementation process, there are usually differences in the completion effects between provinces, so exploring the implementation influencing factors of RPS policy is significant. Given the diversity and complex interaction of subjects and strategies, we construct a four-party evolutionary game model including the central government (CG), local governments (LGs), power generation enterprises (PGEs), and power grid corporations (PGCs), and systematic analysis of the strategic behavior and main influencing factors. The results demonstrate that the CG, its strategy will change with the size of the incentive intensity. For LGs, its strategies are affected by factors such as regulatory costs, and unit fines, especially when the regulation cost is less than the penalty amount for the unfulfilled quota of PGCs; the LG is more inclined to choose strong regulation. For PGEs, the net income of different power generation forms will significantly impact the strategy of PGEs, and indirectly affect the strategy of LGs. For PGCs, increasing the incentive intensity, increasing the punishment of LG to PGCs, and reducing the operation cost of PGCs can help PGCs to complete the quota.
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