Integrated Intelligent Energy ›› 2025, Vol. 47 ›› Issue (5): 51-61.doi: 10.3969/j.issn.2097-0706.2025.05.006

• Optimized Decisions-making process of Market Entities • Previous Articles     Next Articles

Analysis of the logic and strategies for thermal power entities' participation in electricity-carbon market decision making

JI Bin1,2(), LI Yonggang1,2(), CHANG Li1,2(), LI Lili1,2, TU Shanshan1,2, QIAN Juan1,2   

  1. 1. Guodian Nari Nanjing Control System Company Limited, Nanjing 211106, China
    2. State Grid Electric Power Research Institute Company Limited(NARI Group Corporation ),Nanjing 211106, China
  • Received:2024-11-13 Revised:2024-12-07 Published:2025-05-25
  • Supported by:
    State Grid Corporation of China Science and Technology Project(1400-202440417A-3-5-YS)

Abstract:

As market mechanisms in energy-related markets continue to improve, it has become increasingly challenging for thermal power entities to synergize their operations in multiple markets. To support the effective participation of thermal power entities in market decision-making, factors influencing trading decisions in the electricity market, carbon market, and the integrated electricity-carbon market were analyzed. Based on the decision-making principles of the integrated market, the trading decision-making logic for both the electricity market and carbon market was developed. Subsequently, the analysis and modeling of thermal power entities' participation in carbon market trading decisions provided processes, objectives, and constraints for carbon market trading decisions. With the goal of maximizing the benefits for thermal power entities, a short-term and long-term collaborative decision-making model for the electricity-carbon market was developed. Through case studies and calculations, the effectiveness of the proposed model for the participation of thermal power entities in the electricity-carbon market was validated.

Key words: carbon emission rights market, electricity market, multi-market collaboration, decision-making logic, optimized decision making, thermal power entity

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