合作碳排放交易:一种联盟博弈方法

Qisheng Huang, Yunshu Liu, Peng-jie Sun, Junling Li, Jin Xu
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引用次数: 0

摘要

在本世纪,许多国家已经实施了不同的政策来实现碳中和。限额与交易政策是受欢迎的政策之一。限额与交易政策为发电公司提供碳排放配额。每家公司必须根据碳排放配额和需求不确定性,仔细确定自己的能源生产。本文运用联合博弈论分析了不同发电企业之间的合作问题。通过证明成本函数是次可加性的,证明了大联盟对于最小化总成本的最优性。这一结果凸显了合作的好处。我们进一步提出了一个成本分摊机制,将总成本分配给不同的发电公司。我们证明了所提出的成本分配机制是联盟博弈的核心,因此没有任何发电公司集团有任何动机离开大联盟。数值实验验证了所建立的理论结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cooperative Carbon Emission Trading: A Coalitional Game Approach
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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