A game-theoretic model for renewable and conventional energy generators under tradable green certificate mechanism

This paper explores the strategic behavior of power generators under green certificate trading policies, considering both renewable and conventional energy generators. Using game theory, we construct a Nash equilibrium model that incorporates the unit price of green certificates, the required quantity of certificates, and the cap on the quantity. By applying the Karush-Kuhn-Tucker conditions, we reform this Nash equilibrium problem as a mixed complementarity system, which can be solved by MATLAB software. Furthermore, we conduct sensitivity analysis and numerical tests on a number of important parameters. The results reveal that, under certain conditions, the unit price of green certificates does not affect the number obtained by renewable energy generators or purchased by conventional energy generators. However, as the required number of certificates for conventional energy generators increases, both the quantity of certificates that renewable generators obtained and conventional generators purchased increase proportionally. Additionally, the outcomes of limiting the quantity of green certificates awarded to renewable energy generators align with government regulations on the purchase requirements for conventional energy generators. This research provides new insights for power generators in ensuring financial viability and optimizing operations under green certificate trading policies. By enhancing carbon emission reduction capacity, these findings may contribute to the effective management of the electrical supply chain.

Authors

Publication Details

Journal
International Journal of Industrial Engineering Computations
Published
2025-01-01
DOI
https://doi.org/10.5267/j.ijiec.2025.4.006
Citations
1
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.73

Funders

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article

A game-theoretic model for renewable and conventional energy generators under tradable green certificate mechanism

Qingsong Hua, Zhuang Cheng, Pin-Bo Chen, Peng Zhan
1 citations
International Journal of Industrial Engineering Computations
Smart Grid Energy Management
0.73
article

A game-theoretic model for renewable and conventional energy generators under tradable green certificate mechanism

Qingsong Hua, Zhuang Cheng, Pin-Bo Chen, Peng Zhan
article en
1 citations

Abstract

This paper explores the strategic behavior of power generators under green certificate trading policies, considering both renewable and conventional energy generators. Using game theory, we construct a Nash equilibrium model that incorporates the unit price of green certificates, the required quantity of certificates, and the cap on the quantity. By applying the Karush-Kuhn-Tucker conditions, we reform this Nash equilibrium problem as a mixed complementarity system, which can be solved by MATLAB software. Furthermore, we conduct sensitivity analysis and numerical tests on a number of important parameters. The results reveal that, under certain conditions, the unit price of green certificates does not affect the number obtained by renewable energy generators or purchased by conventional energy generators. However, as the required number of certificates for conventional energy generators increases, both the quantity of certificates that renewable generators obtained and conventional generators purchased increase proportionally. Additionally, the outcomes of limiting the quantity of green certificates awarded to renewable energy generators align with government regulations on the purchase requirements for conventional energy generators. This research provides new insights for power generators in ensuring financial viability and optimizing operations under green certificate trading policies. By enhancing carbon emission reduction capacity, these findings may contribute to the effective management of the electrical supply chain.

International Journal of Industrial Engineering ComputationsVol. 16(3)
National Natural Science Foundation of China, Yangzhou University, Qinglan Project of Jiangsu Province of China
Openalex Percentile: Top 28%
Smart Grid Energy Management
0.73
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A game-theoretic model for renewable and conventional energy generators under tradable green certificate mechanism — Qingsong Hua, Zhuang Cheng, et al. · International Journal of Industrial Engineering Computations (2025) | TGRS Research Map | TGRS