• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2023, Vol. 44 ›› Issue (12): 43-53.doi: 10.12204/j.issn.1000-7229.2023.12.004

• Analysis of the Coupling Mechanism of the Electricity Market and the Carbon Market ?Hosted by Professor ZHAO Junhua and Research Fellow LIANG Gaoqi? • Previous Articles     Next Articles

Day-Ahead Optimal Scheduling of Park-Integrated Energy System Considering Electricity-Carbon-Green Certificate Market

LIANG Zeqi1(), ZHOU Yun1(), FENG Donghan1(), GUO Lingyu2(), DU Yang2()   

  1. 1. Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education (Shanghai Jiao Tong University), Shanghai 200240, China
    2. Electric Power Research Institute, State Grid Shanghai Municipal Electric Power Company, Shanghai 200437, China
  • Received:2023-06-27 Published:2023-12-01 Online:2023-11-29
  • Supported by:
    Shanghai Outstanding Academic Leaders Program(23XD1422000);National Natural Science Foundation of China(52077139)


A park-integrated energy system (PIES) is the key to optimizing and upgrading energy systems and reducing carbon emissions in the power industry. How parks participate in the electricity-carbon-green certificate market by formulating trading strategies, improving overall efficiency, and reducing system carbon emissions is key to the rapid development of parks in the future open market environment. This study is based on the noncooperative game model of three parties in a park, constructing a power market operation framework of green electricity day-ahead market, conventional energy day-ahead market, and real-time market, and introducing a green certificate-carbon emission equivalent offset mechanism to achieve a connection between green certificate trading and carbon trading. A park comprehensive energy system day-ahead optimization scheduling model that considers the coupling of the electricity-carbon-green certificate market was proposed. Finally, the improved particle swarm optimization algorithm and alternating direction multiplier method are utilized to solve the nonlinear model and verified in a typical park in Shanghai. The results indicated that the proposed method could effectively reduce carbon emissions in the park, and the proportion of green electricity in the total electricity consumption of the park increased by 6.4%.

Key words: park-integrated energy system (PIES), electricity-carbon-green certificate market, green certificate-carbon emission equivalent offset mechanism, noncooperative game, day-ahead optimal scheduling

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