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Optimal Operation of Combined Heat and Power System Based on Forecasted Energy Prices in Real-Time Markets

Author

Listed:
  • Chenghong Gu

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

  • Da Xie

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

  • Junbo Sun

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

  • Xitian Wang

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

  • Qian Ai

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

Abstract

This paper develops a discrete operation optimization model for combined heat and powers (CHPs) in deregulated energy markets to maximize owners’ profits, where energy price forecasting is included. First, a single input and multi-output (SIMO) model for typical CHPs is established, considering the varying ratio between heat and electricity outputs at different loading levels. Then, the energy prices are forecasted with a gray forecasting model and revised in real-time based on the actual prices by using the least squares method. At last, a discrete optimization model and corresponding dynamic programming algorithm are developed to design the optimal operation strategies for CHPs in real-time. Based on the forecasted prices, the potential operating strategy which may produce the maximum profits is pre-developed. Dynamic modification is then conducted to adjust the pre-developed operating strategy after the actual prices are known. The proposed method is implemented on a 1 MW CHP on a typical day. Results show the optimized profits comply well with those derived from real-time prices after considering dynamic modification process.

Suggested Citation

  • Chenghong Gu & Da Xie & Junbo Sun & Xitian Wang & Qian Ai, 2015. "Optimal Operation of Combined Heat and Power System Based on Forecasted Energy Prices in Real-Time Markets," Energies, MDPI, vol. 8(12), pages 1-16, December.
  • Handle: RePEc:gam:jeners:v:8:y:2015:i:12:p:12427-14345:d:60857
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    References listed on IDEAS

    as
    1. Haichao Wang & Wenling Jiao & Risto Lahdelma & Chuanzhi Zhu & Pinghua Zou, 2014. "Stochastic Multicriteria Acceptability Analysis for Evaluation of Combined Heat and Power Units," Energies, MDPI, vol. 8(1), pages 1-20, December.
    2. Casisi, M. & Pinamonti, P. & Reini, M., 2009. "Optimal lay-out and operation of combined heat & power (CHP) distributed generation systems," Energy, Elsevier, vol. 34(12), pages 2175-2183.
    3. Wang, Haichao & Abdollahi, Elnaz & Lahdelma, Risto & Jiao, Wenling & Zhou, Zhigang, 2015. "Modelling and optimization of the smart hybrid renewable energy for communities (SHREC)," Renewable Energy, Elsevier, vol. 84(C), pages 114-123.
    4. Wang, Haichao & Yin, Wusong & Abdollahi, Elnaz & Lahdelma, Risto & Jiao, Wenling, 2015. "Modelling and optimization of CHP based district heating system with renewable energy production and energy storage," Applied Energy, Elsevier, vol. 159(C), pages 401-421.
    5. Keirstead, James & Samsatli, Nouri & Shah, Nilay & Weber, Céline, 2012. "The impact of CHP (combined heat and power) planning restrictions on the efficiency of urban energy systems," Energy, Elsevier, vol. 41(1), pages 93-103.
    6. Bischi, Aldo & Taccari, Leonardo & Martelli, Emanuele & Amaldi, Edoardo & Manzolini, Giampaolo & Silva, Paolo & Campanari, Stefano & Macchi, Ennio, 2014. "A detailed MILP optimization model for combined cooling, heat and power system operation planning," Energy, Elsevier, vol. 74(C), pages 12-26.
    7. Frangopoulos, Christos A., 2012. "A method to determine the power to heat ratio, the cogenerated electricity and the primary energy savings of cogeneration systems after the European Directive," Energy, Elsevier, vol. 45(1), pages 52-61.
    8. Motevasel, Mehdi & Seifi, Ali Reza & Niknam, Taher, 2013. "Multi-objective energy management of CHP (combined heat and power)-based micro-grid," Energy, Elsevier, vol. 51(C), pages 123-136.
    9. Florian Heberle & Dieter Brüggemann, 2014. "Thermoeconomic Analysis of Hybrid Power Plant Concepts for Geothermal Combined Heat and Power Generation," Energies, MDPI, vol. 7(7), pages 1-16, July.
    10. Onovwiona, H.I. & Ugursal, V.I., 2006. "Residential cogeneration systems: review of the current technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(5), pages 389-431, October.
    11. Abedi, S. & Alimardani, A. & Gharehpetian, G.B. & Riahy, G.H. & Hosseinian, S.H., 2012. "A comprehensive method for optimal power management and design of hybrid RES-based autonomous energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1577-1587.
    12. Mitra, Sumit & Sun, Lige & Grossmann, Ignacio E., 2013. "Optimal scheduling of industrial combined heat and power plants under time-sensitive electricity prices," Energy, Elsevier, vol. 54(C), pages 194-211.
    13. Bianchi, Michele & De Pascale, Andrea & Spina, Pier Ruggero, 2012. "Guidelines for residential micro-CHP systems design," Applied Energy, Elsevier, vol. 97(C), pages 673-685.
    14. Hawkes, A.D. & Leach, M.A., 2007. "Cost-effective operating strategy for residential micro-combined heat and power," Energy, Elsevier, vol. 32(5), pages 711-723.
    15. Streckiene, Giedre & Martinaitis, Vytautas & Andersen, Anders N. & Katz, Jonas, 2009. "Feasibility of CHP-plants with thermal stores in the German spot market," Applied Energy, Elsevier, vol. 86(11), pages 2308-2316, November.
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    Cited by:

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    4. Pavel Atănăsoae, 2022. "Allocation of Joint Costs and Price Setting for Electricity and Heat Generated in Cogeneration," Energies, MDPI, vol. 16(1), pages 1-20, December.
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    6. 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.
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