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Accueil Tous les numéros Volume 81 (2026) Sci. Tech. Energ. Transition, 81 (2026) 7 Références
Numéro
Sci. Tech. Energ. Transition
Volume 81, 2026
Enabling Technologies for the Integration of Electrical Systems in Sustainable Energy Conversion
Numéro d'article 7
Nombre de pages 21
DOI https://doi.org/10.2516/stet/2026009
Publié en ligne 6 avril 2026
  • Gowrishankar V., Angelides C., Druckenmiller H. (2013). Combined heat and power systems: Improving the energy efficiency of our manufacturing plants, buildings, and other facilities. NRDC Issue Paper 13-04-B. Available at https://www.nrdc.org/sites/default/files/combined-heat-power-IP.pdf. [Google Scholar]
  • Guo T., Henwood M.I., Van Ooijen M. (1996) An algorithm for combined heat and power economic dispatch. IEEE Trans. Power Syst. 11, 1778–1784. [Google Scholar]
  • Rooijers F.J., Van Amerongen R.A. (1994) Static economic dispatch for co-generation systems, IEEE Trans. Power Syst. 9, 1392–1398. [Google Scholar]
  • Rao P.S.N. (2006) Combined heat and power economic dispatch: A direct solution, Electr. Power Compo. Syst. 34, 9, 1043–1056. https://doi.org/10.1080/15325000600596775. [Google Scholar]
  • Ohaegbuchi D.N., Maliki O.S., Okwaraoka C.P.A., Okwudiri H.E. (2022) Solution of combined heat and power economic dispatch problem using direct optimization algorithm, Energy Power Eng. 14, 737–746. https://doi.org/10.4236/epe.2022.1412040. [Google Scholar]
  • Lahdelma R., Hakonen H. (2003) An efficient linear programming algorithm for combined heat and power production, Eur. J. Oper. Res. 148, 1, 141–151. https://doi.org/10.1016/s0377-2217(02)00460-5. [Google Scholar]
  • Cho H., Luck R., Eksioglu S.D., Chamra L.M. (2009) Cost-optimized real-time operation of CHP systems, Energy Build. 41, 4, 445–451. https://doi.org/10.1016/j.enbuild.2008.11.011. [Google Scholar]
  • Moradi Dalvand M., Nazari Heris M., Mohammadi Ivatloo B., Galavani S., Rabiee A. (2019) A two-stage mathematical programming approach for the solution of combined heat and power economic dispatch, IEEE Syst. J. 14, 2, 2873–2881. https://doi.org/10.1109/JSYST.2019.2909627. [Google Scholar]
  • Shen Z., Wu C., Wang L., Zhang G. (2021) Real-time energy management for microgrid with EV station and CHP generation, IEEE Trans. Netw. Sci. Eng. 8, 2, 1492–1501. https://doi.org/10.1109/tnse.2021.3062846. [Google Scholar]
  • Jour M.Y., Wang H., Hong F., Yang J., Chen Z., Cui H., Feng J. (2021) Modeling and optimization of combined heat and power with power-to-gas and carbon capture system in integrated energy system, Energy 236, 121392. https://doi.org/10.1016/j.energy.2021.121392. [Google Scholar]
  • Eke İ. (2022) Combined heat and power economic dispatch by Taguchi-based filled function, Eng. Optim. 55, 5, 791–805. https://doi.org/10.1080/0305215X.2022.2034802. [Google Scholar]
  • Zhou S., Hu Z., Gu W., Jiang M., Chen M., Hong Q., Booth C. (2020) Combined heat and power system intelligent economic dispatch: A deep reinforcement learning approach, Int. J. Electr. Power Energy Syst. 120, 106016. https://doi.org/10.1016/j.ijepes.2020.106016. [Google Scholar]
  • Meng A., Rong J., Yin H., Luo J., Tang Y., Zhang H., Li C., Zhu J., Yin Y., Li H., Liu J. (2024) Solving large-scale combined heat and power economic dispatch problems by using deep reinforcement learning based crisscross optimization algorithm, Appl. Therm. Eng. 245, 122781. https://doi.org/10.1016/j.applthermaleng.2024.122781. [Google Scholar]
  • Su C.T., Chiang C.L. (2004) An incorporated algorithm for combined heat and power economic dispatch, Electr. Power Syst. Res. 69, 187–195. [Google Scholar]
  • Subbaraj P., Rengaraj R., Salivahanan S. (2009) Enhancement of combined heat and power economic dispatch using self-adaptive real-coded genetic algorithm, Appl. Energy 86, 915–921. [Google Scholar]
  • Haghrah A., Nazari-Heris M., Mohammadi-Ivatloo B. (2016) Solving combined heat and power economic dispatch problem using real-coded genetic algorithm with improved Mühlenbein mutation, Appl. Therm. Eng. 99, 465–475. [Google Scholar]
  • Chen X., Li K. (2022) Collective information-based particle swarm optimization for multi-fuel CHP economic dispatch problem, Knowledge-Based Syst. 248, 108902. [Google Scholar]
  • Xiong G., Shuai M., Hu X. (2022) Combined heat and power economic emission dispatch using improved bare-bone multi-objective particle swarm optimization, Energy 244-B, 123108. [Google Scholar]
  • Neto J.X.V., Reynoso-Meza G., Ruppel T.H., Mariani V.C., dos Santos Coelho, L. (2017) Solving non-smooth economic dispatch by a new combination of continuous GRASP algorithm and differential evolution, Int. J. Electr. Power Energy Syst. 84, 13–24. [Google Scholar]
  • Chen X., Shen A. (2022) Self-adaptive differential evolution with Gaussian–Cauchy mutation for large-scale CHP economic dispatch problem, Neural Comput. Appl. 34, 11769–11787. https://doi.org/10.1007/s00521-022-07068-w. [CrossRef] [Google Scholar]
  • Basu M. (2015) Combined heat and power economic dispatch using opposition-based group search optimization, Int. J. Electr. Power Energy Syst. 73, 819–829. [Google Scholar]
  • Davoodi E., Zare K., Babaei E. (2017) A GSO-based algorithm for combined heat and power dispatch problem with modified scrounger and ranger operators, Appl. Therm. Eng. 120, 36–48. [Google Scholar]
  • Nguyen T.T., Vo D.N. (2015) The application of one rank cuckoo search algorithm for solving economic load dispatch problems, Appl. Soft Comput. 37, 763–773. https://doi.org/10.1016/j.asoc.2015.09.010. [Google Scholar]
  • Jayakumar N., Subramanian S., Ganesan S., Elanchezhian E. (2015) Combined heat and power dispatch by grey wolf optimization. Int. J. Energy Sector Manage. 9, 523–546. [Google Scholar]
  • Huang S.H., Lin P.C. (2013) A harmony-genetic based heuristic approach toward economic dispatching combined heat and power, Int. J. Electr. Power Energy Syst. 53, 482–487. [Google Scholar]
  • Khorram E., Jaberipour M. (2011) Harmony search algorithm for solving combined heat and power economic dispatch problems, Energy Convers. Manage. 52, 1550–1554. [Google Scholar]
  • Basu M. (2011) Bee colony optimization for combined heat and power economic dispatch, Expert Syst. Appl. 38, 13527–13531. [Google Scholar]
  • Jayabarathi T., Yazdani A., Ramesh V., Raghunathan T. (2014) Combined heat and power economic dispatch problem using the invasive weed optimization algorithm, Front. Energy 8, 25–30. [Google Scholar]
  • Roy P.K., Paul C., Sultana S. (2014) Oppositional teaching learning-based optimization approach for combined heat and power dispatch, Int. J. Electr. Power Energy Syst. 57, 392–403. [Google Scholar]
  • Nasir M., Sadollah A., Aydilek İ.B., Lashkar Ara A., Nabavi-Niaki S.A. (2021) A combination of FA and SRPSO algorithm for combined heat and power economic dispatch, Appl. Soft Comput. 102, 107088. https://doi.org/10.1016/j.asoc.2021.107088. [Google Scholar]
  • Meng A.-B., Chen Y.-C., Yin H., Chen S.-Z. (2014) Crisscross optimization algorithm and its application, Knowledge-Based Syst. 67, 218–229. [Google Scholar]
  • Meng A., Mei P., Yin H., Peng X., Guo Z. (2015) Crisscross optimization algorithm for solving combined heat and power economic dispatch problem, Energy Convers. Manage. 105, 1303–1317. https://doi.org/10.1016/j.enconman.2015.09.003. [Google Scholar]
  • Mirjalili S., Mirjalili S.M., Hatamlou A. (2016) Multi-verse optimizer: A nature-inspired algorithm for global optimization, Neural Comput. Appl. 27, 495–513. https://doi.org/10.1007/s00521-015-1870-7. [Google Scholar]
  • Shaheen A.M., Elsayed A.M., Ginidi A.R., El-Sehiemy R.A., Alharthi M.M., Ghoneim S.S.M. (2022) A novel improved marine predators algorithm for combined heat and power economic dispatch problem, Alex. Eng. J. 61, 3, 1834–1851. https://doi.org/10.1016/j.aej.2021.07.001. [CrossRef] [Google Scholar]
  • Rizk-Allah R.M., Hassanien A.E., Snasel V. (2022) A hybrid chameleon swarm algorithm with superiority of feasible solutions for optimal combined heat and power economic dispatch problem, Energy 254, 124340. https://doi.org/10.1016/j.energy.2022.124340. [Google Scholar]
  • Ramachandran M., Mirjalili S., Nazari-Heris M., Parvathysankar D.S., Sundaram A., Gnanakkan C.A.R. (2022) A hybrid grasshopper optimization algorithm and Harris Hawks optimizer for combined heat and power economic dispatch problem, Eng. Appl. Artif. Intell. 111, 104753. https://doi.org/10.1016/j.engappai.2022.104753. [Google Scholar]
  • Gafar M., Ginidi A., El-Sehiemy R., Sarhan S. (2022) Improved SNS algorithm with high exploitative strategy for dynamic combined heat and power dispatch in co-generation systems, Energy Rep. 8, 8857–8873. https://doi.org/10.1016/j.egyr.2022.06.054. [Google Scholar]
  • Nazari A., Abdi H. (2022) Solving the combined heat and power economic dispatch problem in multi-zone systems by applying the imperialist competitive Harris hawks optimization, Appl. Soft Comput. 26, 12461–12479. https://doi.org/10.1007/s00500-022-07159-9. [Google Scholar]
  • Wolpert D.H., Macready W.G. (1997) No free lunch theorems for optimization, IEEE Trans. Evol. Comput. 1, 1, 67–82. https://doi.org/10.1109/4235.585893. [CrossRef] [Google Scholar]
  • Decker G.L., Brooks A.D. (1958) Valve point loading of turbines, Trans. Am. Inst. Electr. Eng. Power Apparatus Syst. 77, 481–484. [Google Scholar]
  • Pulluri H., Kumar N.G., Rao U.M., Preeti, Kumar M.G. (2019) Krill herd algorithm for solution of economic dispatch with valve-point loading effect, in: Applications of computing, automation and wireless systems in electrical engineering, Vol. 553, Springer, pp. 431–440. https://doi.org/10.1007/978-981-13-6772-4_33. [Google Scholar]
  • Houssein E.H., Oliva D., Abdel Samee N., Mahmoud N.F., Emam M.M. (2023) Liver Cancer Algorithm: A novel bio-inspired optimizer, Comput. Biol. Med. 165, 107389. https://doi.org/10.1016/j.compbiomed.2023.107389. [Google Scholar]
  • Feldman J.P., Goldwasser R., Mark S., Schwartz J., Orion I. (2009) A mathematical model for tumor volume evaluation using two-dimensions, J. Appl. Quant. Methods 4, 4, 455–462. [Google Scholar]
  • Sápi J., Kovács L., Drexler D.A., Kocsis P., Gajári D., Sápi Z. (2015) Tumor volume estimation and quasi-continuous administration for most effective bevacizumab therapy, PLoS One 10, 11, e0142190. [Google Scholar]
  • Vatandoust S., Price T.J., Karapetis C.S. (2015) Colorectal cancer: Metastases to a single organ, World J. Gastroenterol. 21, 41, 11767. https://doi.org/10.3748/wjg.v21.i41.11767. [Google Scholar]
  • Mahender K., Srinivasa Rao G., Kamalakar G., Venkateshwarlu S., Polasa S., Pulluri H. (2025) Optimizing combined heat and power economic dispatch using a differential evolution algorithm, in Proceedings of the Second International Conference on Renewable Energy, Green Computing and Sustainable Development (ICREGCSD 2025), pp. 1–9. https://doi.org/10.1051/e3sconf/202561602025. [Google Scholar]
  • Pulluri H., Basetti V., Goud B.S., Naga Sai Kalyan C. (2024) Exploring evolutionary algorithms for optimal power flow: A comprehensive review and analysis, Electricity 5, 4, 712–733. https://doi.org/10.3390/electricity5040035. [Google Scholar]
  • Beigvand S.D., Abdi H., La Scala M. (2016) Combined heat and power economic dispatch problem using gravitational search algorithm, Electr. Power Syst. Res. 133, 160–172. https://doi.org/10.1016/j.epsr.2015.10.007. [Google Scholar]
  • Mohammadi-Ivatloo B., Moradi-Dalvand M., Rabiee A. (2013) Combined heat and power economic dispatch problem solution using particle swarm optimization with time varying acceleration coefficients, Electr. Power Syst. Res. 95, 9–18. https://doi.org/10.1016/j.epsr.2012.08.005. [Google Scholar]
  • Beigvand S.D., Abdi H., La Scala M. (2017) Hybrid gravitational search algorithm–particle swarm optimization with time varying acceleration coefficients for large scale CHPED problem, Energy 126, 841–853. [Google Scholar]
  • Nazari-Heris M., Mehdinejad M., Mohammadi-Ivatloo B., Abapour M. (2017) Combined heat and power economic dispatch problem solution by implementation of whale optimization method, Neural Comput. Appl. 31, 421–436. https://doi.org/10.1007/s00521-017-3074-9. [Google Scholar]
  • Zhou T., Chen J., Xu X., Ou Z., Yin H., Luo J., Meng A. (2023) A novel multi-agent based crisscross algorithm with hybrid neighboring topology for combined heat and power economic dispatch, Appl. Energy 342, 121167. [Google Scholar]
  • Liu D., Hu Z., Su Q. (2022) Neighborhood-based differential evolution algorithm with direction induced strategy for the large-scale combined heat and power economic dispatch problem, Inform. Sci. 613, 469–493. https://doi.org/10.1016/j.eswa.2022.119438. [Google Scholar]

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