Optimal bidding strategy for generation companies alliance in electricity-carbon-green certificate markets

Zhilin Lu, Bochun Zhan, Zihao Li, Yuan Leng, Xinhe Yang, Fushuan Wen
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Abstract

To promote the profit of generation companies and reduce carbon emissions from the generation sector, a two-layer decision-making model based on the cooperative game is proposed. Based on the analysis of a renewable-fossil energy generation alliance to participate in electricity-carbon-green certificate markets, a robust optimization model considering the price uncertainty in the electricity spot market is first established based on the information gap decision-making theory as the upper part of a two-layer optimization model. Subsequently, the clearing models of the electricity spot, carbon emission trading, and green certificate markets are established. This two-layer optimization model is transformed into a single-layer model based on the well-established KKT conditions. A profit allocation model for the members of the generation alliance is then presented based on the Shapley value and an improved nucleolus kernel method. Finally, the effectiveness of the proposed model is demonstrated by the IEEE 14-bus power system.

Abstract Image

发电公司联盟在电力-碳-绿色证书市场中的最佳投标策略
为促进发电企业盈利,减少发电行业碳排放,提出了基于合作博弈的双层决策模型。在分析可再生能源-化石能源发电联盟参与电力-碳-绿色证书市场的基础上,首先基于信息差距决策理论建立了考虑电力现货市场价格不确定性的稳健优化模型,作为双层优化模型的上部。随后,建立电力现货市场、碳排放交易市场和绿色证书市场的清算模型。根据成熟的 KKT 条件,将双层优化模型转化为单层模型。然后,基于 Shapley 值和改进的核仁方法,提出了发电联盟成员的利润分配模型。最后,通过 IEEE 14 总线电力系统证明了所提模型的有效性。
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