Abstract
Energy hub receives various energy carriers such as gas, electricity, and heat in its input and then converts them into required demands such as gas, cool, heat, compressed air, and electricity. The energy hub economic dispatch problem is a non-smooth, high-dimension, non-convex, and non-differential problem, it should be solved subject to equality and inequality constraints. In this study, symbiotic organisms search algorithm is carried out for energy hub economic dispatch problem to minimize the energy cost of the system. In an attempt to show the efficiency of the proposed algorithm, an energy hub system, which has 7 hubs and 17 energy production units, has been used. Simulation results of the symbiotic organisms search algorithm have been compared with some heuristic algorithms to show the ability of the proposed algorithm.
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References
Vahid-Pakdel, M.J., Nojavan, S., Mohammadi-Ivatloo, B., Zare, K.: Stochastic optimization of energy hub operation with consideration of thermal energy market and demand response. Energy Convers. Manag. 145, 117–128 (2017)
Krause, T., Andersson, G., Frohlich, K., Vaccaro, A.: Multiple-energy carriers: modeling of production, delivery, and consumption. Proc. IEEE 99(1), 15–27 (2011)
Beigvand, S.D., Abdi, H., La Scala, M.: A general model for energy hub economic dispatch. Appl. Energy 190, 1090–1111 (2017)
Maniyali, Y., Almansoori, A., Fowler, M., Elkamel, A.: Energy hub based on nuclear energy and hydrogen energy storage. Ind. Eng. Chem. Res. 52(22), 7470–7481 (2013)
Geidl, M., Andersson, G.: Optimal power flow of multiple energy carriers. IEEE Trans. Power Syst. 22(1), 145–155 (2007)
Maroufmashat, A., Elkamel, A., Fowler, M., Sattari, S., Roshandel, R., Hajimiragha, A., Entchev, E.: Modeling and optimization of a network of energy hubs to improve economic and emission considerations. Energy 93, 2546–2558 (2015)
Maniyali, Y., Almansoori, A., Fowler, M., Elkamel, A.: Energy hub based on nuclear energy and hydrogen energy storage. Ind. Eng. Chem. Res. 52(22), 7470–7481 (2013)
Moghaddam, I.G., Saniei, M., Mashhour, E.: A comprehensive model for self-scheduling an energy hub to supply cooling, heating and electrical demands of a building. Energy 94, 157–170 (2016)
Mohammadi, M., Noorollahi, Y., Mohammadi-ivatloo, B., Hosseinzadeh, M., Yousefi, H., Khorasani, S.T.: Optimal management of energy hubs and smart energy hubs–a review. Renew. Sustain. Energy Rev. 89, 33–50 (2018)
Geidl, M., Koeppel, G., Favre-Perrod, P., Klöckl, B., Andersson, G., Fröhlich, K.: The energy hub–a powerful concept for future energy systems. In: Third Annual Carnegie Mellon Conference on the Electricity Industry, vol. 13, p. 14 (2007)
Orehounig, K., Evins, R., Dorer, V.: Integration of decentralized energy systems in neighbourhoods using the energy hub approach. Appl. Energy 154, 277–289 (2015)
Carradore, L., Bignucolo, F.: Distributed multi-generation and application of the energy hub concept in future networks. In: 2008 43rd International IEEE Universities Power Engineering Conference, UPEC 2008, pp. 1–5 (2008)
Aghamohamadi, M., Samadi, M., Rahmati, I.: Energy generation cost in multi-energy systems; an application to a non-merchant energy hub in supplying price responsive loads. Energy 161, 878–891 (2018)
Cheng, M.Y., Prayogo, D.: Symbiotic organisms search: a new metaheuristic optimization algorithm. Comput. Struct. 139, 98–112 (2014)
Sonmez, Y., Kahraman, H.T., Dosoglu, M.K., Guvenc, U., Duman, S.: Symbiotic organisms search algorithm for dynamic economic dispatch with valve-point effects. J. Exp. Theor. Artif. Intell. 29(3), 495–515 (2017)
Banerjee, S., Chattopadhyay, S.: Power optimization of three dimensional turbo code using a novel modified symbiotic organism search (MSOS) algorithm. Wirel. Pers. Commun. 92(3), 941–968 (2017)
Baysal, Y.A., Altas, I.H.: Power quality ımprovement via optimal capacitor placement in electrical distribution systems using symbiotic organisms search algorithm. Mugla J. Sci. Technol. 3(1), 64–68 (2017)
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Güvenç, U., Özkaya, B., Bakir, H., Duman, S., Bingöl, O. (2020). Energy Hub Economic Dispatch by Symbiotic Organisms Search Algorithm. In: Hemanth, D., Kose, U. (eds) Artificial Intelligence and Applied Mathematics in Engineering Problems. ICAIAME 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 43. Springer, Cham. https://doi.org/10.1007/978-3-030-36178-5_28
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DOI: https://doi.org/10.1007/978-3-030-36178-5_28
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