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Optimal Operation of Network-Connected Combined Heat and Powers for Customer Profit Maximization

Author

Listed:
  • Da Xie

    (Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Yupu Lu

    (Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Junbo Sun

    (Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Chenghong Gu

    (Department of Electronic and Electrical Engineering, University of Bath, Bath BA2 7AY, UK)

  • Jilai Yu

    (Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China)

Abstract

Network-connected combined heat and powers (CHPs), owned by a community, can export surplus heat and electricity to corresponding heat and electric networks after community loads are satisfied. This paper proposes a new optimization model for network-connected CHP operation. Both CHPs’ overall efficiency and heat to electricity ratio (HTER) are assumed to vary with loading levels. Based on different energy flow scenarios where heat and electricity are exported to the network from the community or imported, four profit models are established accordingly. They reflect the different relationships between CHP energy supply and community load demand across time. A discrete optimization model is then developed to maximize the profit for the community. The models are derived from the intervals determined by the daily operation modes of CHP and real-time buying and selling prices of heat, electricity and natural gas. By demonstrating the proposed models on a 1 MW network-connected CHP, results show that the community profits are maximized in energy markets. Thus, the proposed optimization approach can help customers to devise optimal CHP operating strategies for maximizing benefits.

Suggested Citation

  • Da Xie & Yupu Lu & Junbo Sun & Chenghong Gu & Jilai Yu, 2016. "Optimal Operation of Network-Connected Combined Heat and Powers for Customer Profit Maximization," Energies, MDPI, vol. 9(6), pages 1-17, June.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:6:p:442-:d:71678
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    References listed on IDEAS

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    Cited by:

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    2. Jiecheng Zhu & Xitian Wang & Da Xie & Chenghong Gu, 2019. "Control Strategy for MGT Generation System Optimized by Improved WOA to Enhance Demand Response Capability," Energies, MDPI, vol. 12(16), pages 1-20, August.
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    5. Gimelli, A. & Muccillo, M., 2019. "Performance assessment of a 15 kW Micro-CHCP plant through the 0D/1D thermo-fluid dynamic characterization of a double water circuit waste heat recovery system," Energy, Elsevier, vol. 181(C), pages 803-814.

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