Optimal scheduling of an integrated rural energy system with coupled hybrid hydrogen‑carbon capture considering parameter adaptive stepped carbon trading
Author:
Affiliation:

(1.Institute of Economic and Technology, State Grid Fujian Electric Power Company, Fuzhou 350011, China; 2.College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China)

Clc Number:

TM732

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Building clean and efficient integrated rural energy systems is of great significance to the comprehensive promotion of the rural revitalization strategy, an integrated energy system operation model with hydrogen mixing-carbon capture coupling is constructed, and a low-carbon economic scheduling strategy that takes into account the parameter-adaptive stepped carbon trading and stepped incentive-based demand response is proposed in this paper. Firstly, a refined model of gas-fired units after hydrogen doping reform is established, and two-stage electricity-to-gas conversion, carbon capture technologies are integrated to form a coupled hydrogen mixing-carbon capture operation mode; secondly, stepped incentive demand response is introduced to promote the transformation of users' energy use and alleviate the pressure of energy supply during the peak load period of the integrated energy system; finally, a step carbon trading mechanism is introduced to construct an operation optimization model with the aim of minimizing the operating cost, and CPLEX is adopted to optimize the operation mode of the integrated energy system. Finally, the stepped carbon trading mechanism is introduced and the operation model is constructed with the goal of minimizing the system operation cost, and the CPLEX is used to solve the model, while the total carbon emission is calculated to minimize the carbon emission as the optimization goal of the parameters of the carbon trading mechanism, and the particle swarm algorithm is used for finding the optimal parameters of the optimal carbon trading mechanism and the operation strategy. By setting different scenarios for comparison, it is verified that the proposed scheduling strategy can effectively reduce carbon emissions and realize economic operation.

    Reference
    Related
    Cited by
Get Citation

张林垚,吴桂联,倪识远,林 锟,刘丽军.考虑参数自适应阶梯碳交易的含混氢—碳捕集耦合的农村综合能源系统优化调度[J].电力科学与技术学报英文版,2024,(3):228-241. ZHANG Linyao, WU Guilian, NI Shiyuan, LIN Kun, LIU Lijun. Optimal scheduling of an integrated rural energy system with coupled hybrid hydrogen‑carbon capture considering parameter adaptive stepped carbon trading[J]. Journal of Electric Power Science and Technology,2024,(3):228-241.

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:
  • Adopted:
  • Online: July 25,2024
  • Published: