激励
次加性
芯(光纤)
排放交易
博弈论
合作博弈论
微观经济学
生产(经济)
环境经济学
计算机科学
发电
功率(物理)
功能(生物学)
经济
产业组织
数学优化
运筹学
温室气体
工程类
电信
数学
量子力学
进化生物学
生物
离散数学
物理
生态学
作者
Qisheng Huang,Yunshu Liu,Peng Sun,Junling Li,Jin Xu
标识
DOI:10.1109/smartgridcomm52983.2022.9960999
摘要
Many countries have implemented different policies to achieve carbon neutrality in the current century. The cap-and-trade policy is one of the popular policies. The cap-and-trade policy provides carbon emission quotas for power generation companies. Each company must carefully determine its energy production based on the carbon emission quota and demand uncertainty. In this paper, we analyze the cooperation among different power generation companies using the coalitional game theory. We show the optimality of the grand coalition for minimizing the total cost by proving that the cost function is subadditive. This result highlights the benefits of cooperation. We further propose a cost allocation mechanism that allocates the total cost to different power generation companies. We prove that the proposed cost allocation mechanism is in the core of the coalitional game such that no group of power generation companies has any incentive to leave the grand coalition. Numerical experiments have been conducted to validate the established theoretical results.
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