Power Generation Technology ›› 2025, Vol. 46 ›› Issue (2): 263-273.DOI: 10.12096/j.2096-4528.pgt.24087

• Modeling, Simulation and Optimal Operation of Integrated Energy System Based on Swarm Intelligence • Previous Articles    

Low-Carbon Economic Scheduling of Integrated Energy System Considering Diversified Utilization of Hydrogen Energy

Kai MA1, Zhi YUAN1, Ji LI2   

  1. 1.Key Laboratory of Renewable Energy Generation and Grid-Connected Technology (Xinjiang University), Urumqi 830017, Xinjiang Uygur Autonomous Region, China
    2.Electric Power Research Institute of State Grid Xinjiang Electric Power Co. , Ltd. , Urumqi 830011, Xinjiang Uygur Autonomous Region, China
  • Received:2024-05-14 Revised:2024-08-30 Published:2025-04-30 Online:2025-04-23
  • Supported by:
    the Open Project of Key Laboratory of Xinjiang Uygur Autonomous Region(2023D04081);National Natural Science Foundation of China(52367024┫.)

Abstract:

Objectives In the context of “dual-carbon” goals, achieving low-carbon economic operation of integrated energy system (IES) is of paramount importance. However, existing IES models incorporating power-to-gas (P2G) technology often overlook energy losses during hydrogen production. To address this issue, this study proposes a day-ahead low-carbon economic scheduling model for an IES that considers diversified utilization of hydrogen energy. Methods First, a mathematical model of a cross-regional IES is established, with carbon capture power plants and P2G as the main energy coupling technologies. Second, given the clean and efficient nature of hydrogen energy, mathematical models are developed for hydrogen-blended combined heat and power generation, P2G systems, hydrogen fuel cells, and hydrogen storage tanks. To avoid energy waste, a heat recovery device is integrated into the two-stage conversion process of P2G. Third, a mathematical model for demand response and green certificate-carbon trading mechanism is established and incorporated into the system’s low-carbon economic scheduling strategy. Finally, the optimization objective is set to minimize the total cost, including expenses on green certificate trading, carbon trading, coal-fired power generation, electricity procurement, and natural gas purchases. Results The proposed model reduces the total system cost by 55% and achieves the full utilization of wind power. Conclusions This scheduling model effectively mitigates energy losses during system operation and significantly enhances the low-carbon economic efficiency of IES.

Key words: dual-carbon, integrated energy system (IES), hydrogen energy, economic dispatch, green certificate-carbon trading, diversified utilization, demand response, carbon capture power plant, power-to-gas (P2G)

CLC Number: