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Multi-Objective Optimal Power Flow Calculation Considering Carbon Emission Intensity

Author

Listed:
  • Gangfei Wang

    (College of Energy and Electrical Engineering, Qinghai University, Xining 810016, China)

  • Hengrui Ma

    (College of Energy and Electrical Engineering, Qinghai University, Xining 810016, China
    Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network, School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
    School of Electrical and Automation, Wuhan University, Wuhan 430072, China)

  • Bo Wang

    (Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network, School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
    School of Electrical and Automation, Wuhan University, Wuhan 430072, China)

  • Abdullah M. Alharbi

    (Department of Electrical Engineering, College of Engineering at Wadi Addawasir, Prince Sattam bin Abdulaziz University, Wadi Addawasir 11991, Saudi Arabia)

  • Hongxia Wang

    (School of Electrical and Automation, Wuhan University, Wuhan 430072, China
    Department of Electrical & Computer Engineering, University of Denver, Denver, CO 80210, USA)

  • Fuqi Ma

    (Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network, School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
    School of Electrical and Automation, Wuhan University, Wuhan 430072, China
    School of Electrical Engineering, Xi’an University of Technology, Xi’an 710054, China)

Abstract

In keeping with China’s dual carbon goals, optimal low-carbon power system dispatch has become a necessary component of the greening of the power system. However, typically, research considers only the economics of such efforts. Based on our power flow analysis of the power grid and the correlation properties of carbon emission flow, an optimal power flow calculation model targeting the total carbon emission rate of the power system’s power generation cost, active network loss, and load and network loss was constructed. Next, the NSGA-III algorithm was used to solve the model, and the decision was to coordinate and optimize the output schemes of various types of power plants, such as wind, water, and thermal. The modified IEEE39 node simulation system was built with Matlab software (MATLAB R2020b). The results of the calculation showed that, compared to the traditional method of determining the optimal power flow, the proposed method reduced the system carbon emissions by 20% while the power generation cost increased by less than 2%, which proves the effectiveness and practicability of the proposed method.

Suggested Citation

  • Gangfei Wang & Hengrui Ma & Bo Wang & Abdullah M. Alharbi & Hongxia Wang & Fuqi Ma, 2023. "Multi-Objective Optimal Power Flow Calculation Considering Carbon Emission Intensity," Sustainability, MDPI, vol. 15(24), pages 1-20, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:24:p:16953-:d:1302671
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    References listed on IDEAS

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    1. Xu, Pan & Fu, Wenlong & Lu, Qipeng & Zhang, Shihai & Wang, Renming & Meng, Jiaxin, 2023. "Stability analysis of hydro-turbine governing system with sloping ceiling tailrace tunnel and upstream surge tank considering nonlinear hydro-turbine characteristics," Renewable Energy, Elsevier, vol. 210(C), pages 556-574.
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