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Optimal Capacity Configuration for Energy Hubs Considering Part-Load Characteristics of Generation Units

Author

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  • Shan Deng

    (School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China)

  • Qinghua Wu

    (School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China)

  • Zhaoxia Jing

    (School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China)

  • Lilan Wu

    (School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China)

  • Feng Wei

    (School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China)

  • Xiaoxin Zhou

    (China Electric Power Research Institute, State Grid Corporation of China, Qinghe, Beijing 100192, China)

Abstract

The simulation model is one of the key points affecting the optimal planning and operation of energy hubs (EHs). Since treating the efficiencies of generation units as constants would significantly simplify the calculation, only a simplified model is investigated in most research works. In this paper, aiming at optimizing the capacity configuration of an EH, we present a part-load characteristics-based (PLCB) model, in which the efficiencies of generation units will change with the fluctuating load. Based on the PLCB model, the accuracy of the EH model can be improved. Furthermore, a two-stage planning method is proposed to solve the optimal capacity configuration problem of the EH. Group Search Optimizer (GSO) is used to determine the optimal size in the first stage, and a mathematical programming method is applied to obtain the optimal operation of the EH in the second stage. Comparative studies using the PLCB model and the simplified model are performed to examine the impacts of equipment part-load characteristics on the sizing results. Simulation results indicate that the proposed model appears to have a better economic performance than the simplified model.

Suggested Citation

  • Shan Deng & Qinghua Wu & Zhaoxia Jing & Lilan Wu & Feng Wei & Xiaoxin Zhou, 2017. "Optimal Capacity Configuration for Energy Hubs Considering Part-Load Characteristics of Generation Units," Energies, MDPI, vol. 10(12), pages 1-19, November.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:1966-:d:120382
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    Cited by:

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    2. Zeli Ye & Wentao Huang & Jinfeng Huang & Jun He & Chengxi Li & Yan Feng, 2023. "Optimal Scheduling of Integrated Community Energy Systems Based on Twin Data Considering Equipment Efficiency Correction Models," Energies, MDPI, vol. 16(3), pages 1-22, January.
    3. Ahmadisedigh, Hossein & Gosselin, Louis, 2022. "Combined heating and cooling networks with part-load efficiency curves: Optimization based on energy hub concept," Applied Energy, Elsevier, vol. 307(C).

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