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

Author:

Lu Zhilin1,Zhan Bochun2,Li Zihao2ORCID,Leng Yuan1,Yang Xinhe1,Wen Fushuan2ORCID

Affiliation:

1. Energy Development Research Institute of China Southern Power Grid Guangzhou China

2. College of Electrical Engineering Zhejiang University Hangzhou China

Abstract

AbstractTo 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.

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Reference29 articles.

1. Review on electricity market towards high proportion of renewable energy;Xiao Y.;Proc. CSEE,2018

2. Review and cogitation for worldwide spot market development to promote renewable energy accommodation;Fan Y.;Proc. CSEE,2021

3. Dynamic Interactions of TGC and Electricity Markets to Promote Wind Capacity Investment

4. Modeling Strategic Behaviors of Renewable Energy With Joint Consideration on Energy and Tradable Green Certificate Markets

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