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A Survey of Combined Heat and Power-Based Unit Commitment Problem: Optimization Algorithms, Case Studies, Challenges, and Future Directions

Author

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  • Hamdi Abdi

    (Electrical Engineering Department, Engineering Faculty, Razi University, Kermanshah 67144-14971, Iran)

Abstract

Combined generation units of heat and power, known as CHP units, are one of the most prominent applications of distributed generations in modern power systems. This concept refers to the simultaneous operation of two or more forms of energy from a simple primary source. Due to the numerous environmental, economic, and technical advantages, the use of this technology in modern power systems is highly emphasized. As a result, various issues of interest in the control, operation, and planning of power networks have experienced significant changes and faced important challenges. In this way, the unit commitment problem (UCP) as one of the fundamental studies in the operation of integrated power, and heat systems have experienced some major conceptual and methodological changes. This work, as a complementary review, details the CHP-based UCP (CHPbUCP) in terms of objective functions, constraints, simulation tools, and applied hardwares. Furthermore, some useful data on case studies are provided for researchers and operators. Finally, the work addresses some challenges and opens new perspectives for future research.

Suggested Citation

  • Hamdi Abdi, 2023. "A Survey of Combined Heat and Power-Based Unit Commitment Problem: Optimization Algorithms, Case Studies, Challenges, and Future Directions," Mathematics, MDPI, vol. 11(19), pages 1-36, October.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:19:p:4170-:d:1253980
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    References listed on IDEAS

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    1. Olamaei, Javad & Nazari, Mohammad Esmaeil & Bahravar, Sepideh, 2018. "Economic environmental unit commitment for integrated CCHP-thermal-heat only system with considerations for valve-point effect based on a heuristic optimization algorithm," Energy, Elsevier, vol. 159(C), pages 737-750.
    2. Abdi, Hamdi, 2021. "Profit-based unit commitment problem: A review of models, methods, challenges, and future directions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    3. Beigvand, Soheil Derafshi & Abdi, Hamdi & La Scala, Massimo, 2017. "Hybrid Gravitational Search Algorithm-Particle Swarm Optimization with Time Varying Acceleration Coefficients for large scale CHPED problem," Energy, Elsevier, vol. 126(C), pages 841-853.
    4. Rong, Aiying & Lahdelma, Risto & Grunow, Martin, 2009. "An improved unit decommitment algorithm for combined heat and power systems," European Journal of Operational Research, Elsevier, vol. 195(2), pages 552-562, June.
    5. Nazari, M.E. & Ardehali, M.M., 2017. "Profit-based unit commitment of integrated CHP-thermal-heat only units in energy and spinning reserve markets with considerations for environmental CO2 emission cost and valve-point effects," Energy, Elsevier, vol. 133(C), pages 621-635.
    6. Christidis, Andreas & Koch, Christoph & Pottel, Lothar & Tsatsaronis, George, 2012. "The contribution of heat storage to the profitable operation of combined heat and power plants in liberalized electricity markets," Energy, Elsevier, vol. 41(1), pages 75-82.
    7. Thorin, Eva & Brand, Heike & Weber, Christoph, 2005. "Long-term optimization of cogeneration systems in a competitive market environment," Applied Energy, Elsevier, vol. 81(2), pages 152-169, June.
    8. Jiménez Navarro, Juan Pablo & Kavvadias, Konstantinos C. & Quoilin, Sylvain & Zucker, Andreas, 2018. "The joint effect of centralised cogeneration plants and thermal storage on the efficiency and cost of the power system," Energy, Elsevier, vol. 149(C), pages 535-549.
    9. A. M. Elaiw & X. Xia & A. M. Shehata, 2013. "Hybrid DE-SQP Method for Solving Combined Heat and Power Dynamic Economic Dispatch Problem," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-7, September.
    10. Cynthia Boysen & Cord Kaldemeyer & Simon Hilpert & Ilja Tuschy, 2019. "Integration of Flow Temperatures in Unit Commitment Models of Future District Heating Systems," Energies, MDPI, vol. 12(6), pages 1-19, March.
    11. Misaghian, M.S. & Saffari, M. & Kia, M. & Heidari, A. & Shafie-khah, M. & Catalão, J.P.S., 2018. "Tri-level optimization of industrial microgrids considering renewable energy sources, combined heat and power units, thermal and electrical storage systems," Energy, Elsevier, vol. 161(C), pages 396-411.
    12. Rong, Aiying & Lahdelma, Risto, 2007. "An efficient envelope-based Branch and Bound algorithm for non-convex combined heat and power production planning," European Journal of Operational Research, Elsevier, vol. 183(1), pages 412-431, November.
    13. Cho, Heejin & Smith, Amanda D. & Mago, Pedro, 2014. "Combined cooling, heating and power: A review of performance improvement and optimization," Applied Energy, Elsevier, vol. 136(C), pages 168-185.
    14. Hawkes, A.D. & Leach, M.A., 2009. "Modelling high level system design and unit commitment for a microgrid," Applied Energy, Elsevier, vol. 86(7-8), pages 1253-1265, July.
    15. Lennart Merkert & Ashvar Abdoul Haime & Sören Hohmann, 2019. "Optimal Scheduling of Combined Heat and Power Generation Units Using the Thermal Inertia of the Connected District Heating Grid as Energy Storage," Energies, MDPI, vol. 12(2), pages 1-9, January.
    16. Wang, Jiawei & You, Shi & Zong, Yi & Træholt, Chresten & Dong, Zhao Yang & Zhou, You, 2019. "Flexibility of combined heat and power plants: A review of technologies and operation strategies," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    17. Moretti, Luca & Martelli, Emanuele & Manzolini, Giampaolo, 2020. "An efficient robust optimization model for the unit commitment and dispatch of multi-energy systems and microgrids," Applied Energy, Elsevier, vol. 261(C).
    18. Erick Delage & Yinyu Ye, 2010. "Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems," Operations Research, INFORMS, vol. 58(3), pages 595-612, June.
    19. Lahdelma, Risto & Hakonen, Henri, 2003. "An efficient linear programming algorithm for combined heat and power production," European Journal of Operational Research, Elsevier, vol. 148(1), pages 141-151, July.
    20. Drake, John H. & Kheiri, Ahmed & Özcan, Ender & Burke, Edmund K., 2020. "Recent advances in selection hyper-heuristics," European Journal of Operational Research, Elsevier, vol. 285(2), pages 405-428.
    21. Mohammadi, Mohammad & Noorollahi, Younes & Mohammadi-ivatloo, Behnam & Hosseinzadeh, Mehdi & Yousefi, Hossein & Khorasani, Sasan Torabzadeh, 2018. "Optimal management of energy hubs and smart energy hubs – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 33-50.
    22. Rong, Aiying & Hakonen, Henri & Lahdelma, Risto, 2008. "A variant of the dynamic programming algorithm for unit commitment of combined heat and power systems," European Journal of Operational Research, Elsevier, vol. 190(3), pages 741-755, November.
    23. Domschke, Wolfgang & Drexl, Andreas, 2005. "Einführung in Operations Research," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 25118, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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