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dc.contributor.authorRajagopalan, Arul
dc.contributor.authorSwaminathan, Dhivya
dc.contributor.authorAlharbi, Meshal
dc.contributor.authorSengan, Sudhakar
dc.contributor.authorMontoya, Oscar Danilo
dc.contributor.authorEl-Shafai, Walid
dc.contributor.author. Fouda, Mostafa M
dc.contributor.authorAly, Moustafa H.
dc.date.accessioned2023-07-21T20:49:54Z
dc.date.available2023-07-21T20:49:54Z
dc.date.issued2022
dc.date.submitted2023
dc.identifier.urihttps://hdl.handle.net/20.500.12585/12389
dc.description.abstractThe modest objective is to check the integrated effect of energy storage systems (ESSs) and distributed generations (DGs) and compare the optimization of the size and location of ESS and DG to explore its challenges for smart grids (SGs) modernization. The research enlisted different algorithms for cost-effectiveness, security, voltage control, and less power losses. From this perspective, optimization of the distribution network’s energy storage and capacity are being performed using a variety of methods, including the particle swarm, ant-lion optimization, genetic, and flower pollination algorithms. The experimental outcomes demonstrate the effectiveness of these techniques in lowering distribution network operating costs and controlling system load fluctuations. The efficiency and dependability of the distribution network (DN) are both maximized by these strategies. © 2022 by the authors.spa
dc.format.extent18 páginas
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceEnergiesspa
dc.titleModernized Planning of Smart Grid Based on Distributed Power Generations and Energy Storage Systems Using Soft Computing Methodsspa
dcterms.bibliographicCitationVita, V., Christodoulou, C., Zafeiropoulos, I., Gonos, I., Asprou, M., Kyriakides, E. Evaluating the flexibility benefits of smart grid innovations in transmission networks (2021) Applied Sciences (Switzerland), 11 (22), art. no. 10692. Cited 16 times. https://www.mdpi.com/2076-3417/11/22/10692/pdf doi: 10.3390/app112210692spa
dcterms.bibliographicCitationMladenov, V., Chobanov, V., Seritan, G.C., Porumb, R.F., Enache, B.-A., Vita, V., Stănculescu, M., (...), Bargiotas, D. A Flexibility Market Platform for Electricity System Operators Using Blockchain Technology (2022) Energies, 15 (2), art. no. 539. Cited 10 times. https://www.mdpi.com/1996-1073/15/2/539/pdf doi: 10.3390/en15020539spa
dcterms.bibliographicCitationGao, T., Jiang, L., Liu, K., Xiong, D., Lin, Z., Bu, W., Chen, Y. Field Exploration and Analysis of Power Grid Side Battery Energy Storage System (2021) IEEE Access, 9, art. no. 9335935, pp. 63213-63218. Cited 7 times. http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639 doi: 10.1109/ACCESS.2021.3054620spa
dcterms.bibliographicCitationZhang, Y., Srivastava, A. Voltage control strategy for energy storage system in sustainable distribution system operation (2021) Energies, 14 (4), art. no. 832. Cited 14 times. https://www.mdpi.com/1996-1073/14/4/832/pdf doi: 10.3390/en14040832spa
dcterms.bibliographicCitationSikorski, T., Jasiński, M., Ropuszyńska-Surma, E., Wȩlglarz, M., Kaczorowska, D., Kostyla, P., Leonowicz, Z., (...), Solak, B. A case study on distributed energy resources and energy-storage systems in a virtual power plant concept: Technical aspects (Open Access) (2020) Energies, 13 (12), art. no. en13123086. Cited 27 times. https://www.mdpi.com/1996-1073/13/12/3086 doi: 10.3390/en13123086spa
dcterms.bibliographicCitationLi, X., Ma, R., Gan, W., Yan, S. Optimal Dispatch for Battery Energy Storage Station in Distribution Network Considering Voltage Distribution Improvement and Peak Load Shifting (2022) Journal of Modern Power Systems and Clean Energy, 10 (1), pp. 131-139. Cited 26 times. https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=8685265 doi: 10.35833/MPCE.2020.000183spa
dcterms.bibliographicCitationMinh, Q.N., Nguyen, V.-H., Quy, V.K., Ngoc, L.A., Chehri, A., Jeon, G. Edge Computing for IoT-Enabled Smart Grid: The Future of Energy (2022) Energies, 15 (17), art. no. 6140. Cited 21 times. http://www.mdpi.com/journal/energies/ doi: 10.3390/en15176140spa
dcterms.bibliographicCitationZhang, J., Tao, D. Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things (2021) IEEE Internet of Things Journal, 8 (10), art. no. 9264235, pp. 7789-7817. Cited 213 times. http://ieeexplore.ieee.org/servlet/opac?punumber=6488907 doi: 10.1109/JIOT.2020.3039359spa
dcterms.bibliographicCitationWang, X., Liu, Y., Choo, K.-K.R. Fault-Tolerant Multisubset Aggregation Scheme for Smart Grid (Open Access) (2021) IEEE Transactions on Industrial Informatics, 17 (6), art. no. 9159848, pp. 4065-4072. Cited 43 times. http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=9424 doi: 10.1109/TII.2020.3014401spa
dcterms.bibliographicCitationYoldaş, Y., Önen, A., Muyeen, S.M., Vasilakos, A.V., Alan, İ. Enhancing smart grid with microgrids: Challenges and opportunities (Open Access) (2017) Renewable and Sustainable Energy Reviews, 72, pp. 205-214. Cited 305 times. https://www.journals.elsevier.com/renewable-and-sustainable-energy-reviews doi: 10.1016/j.rser.2017.01.064spa
dcterms.bibliographicCitationSaboori, H., Jadid, S. Optimal scheduling of mobile utility-scale battery energy storage systems in electric power distribution networks (Open Access) (2020) Journal of Energy Storage, 31, art. no. 101615. Cited 43 times. http://www.journals.elsevier.com/journal-of-energy-storage/ doi: 10.1016/j.est.2020.101615spa
dcterms.bibliographicCitationMahdavi, S., Hemmati, R., Jirdehi, M.A. Two-level planning for coordination of energy storage systems and wind-solar-diesel units in active distribution networks (2018) Energy, 151, pp. 954-965. Cited 27 times. www.elsevier.com/inca/publications/store/4/8/3/ doi: 10.1016/j.energy.2018.03.123spa
dcterms.bibliographicCitationPirouzi, S., Latify, M.A., Yousefi, G.R. Conjugate active and reactive power management in a smart distribution network through electric vehicles: A mixed integer-linear programming model (2020) Sustainable Energy, Grids and Networks, 22, art. no. 100344. Cited 43 times. http://www.journals.elsevier.com/sustainable-energy-grids-and-networks/ doi: 10.1016/j.segan.2020.100344spa
dcterms.bibliographicCitationChuang, A.S., Wu, F., Varaiya, P. A game-theoretic model for generation expansion planning: Problem formulation and numerical comparisons (Open Access) (2001) IEEE Transactions on Power Systems, 16 (4), pp. 885-891. Cited 208 times. doi: 10.1109/59.962441spa
dcterms.bibliographicCitationPark, Y.-M., Won, J.-R., Park, J.-B., Kim, D.-G. Generation expansion planning based on an advanced evolutionary programming (Open Access) (1999) IEEE Transactions on Power Systems, 14 (1), pp. 299-305. Cited 69 times. doi: 10.1109/59.744547spa
dcterms.bibliographicCitationPark, J.-B., Park, Y.-M., Won, J.-R., Lee, K.Y. An improved genetic algorithm for generation expansion planning (Open Access) (2000) IEEE Transactions on Power Systems, 15 (3), pp. 916-922. Cited 206 times. doi: 10.1109/59.871713 View at Publisherspa
dcterms.bibliographicCitationWang, Y., Zhang, N., Zhuo, Z., Kang, C., Kirschen, D. Mixed-integer linear programming-based optimal configuration planning for energy hub: Starting from scratch (2018) Applied Energy, 210, pp. 1141-1150. Cited 193 times. http://www.elsevier.com/inca/publications/store/4/0/5/8/9/1/index.htt doi: 10.1016/j.apenergy.2017.08.114spa
dcterms.bibliographicCitationChahkandi Nejad, H., Tavakoli, S., Ghadimi, N., Korjani, S., Nojavan, S., Pashaei-Didani, H. Reliability based optimal allocation of distributed generations in transmission systems under demand response program (2019) Electric Power Systems Research, 176, art. no. 105952. Cited 70 times. https://www.journals.elsevier.com/electric-power-systems-research doi: 10.1016/j.epsr.2019.105952spa
dcterms.bibliographicCitationPandey, A.K., Kirmani, S. Optimal location and sizing of hybrid system by analytical crow search optimization algorithm (2020) International Transactions on Electrical Energy Systems, 30 (5), art. no. e12327. Cited 19 times. http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2050-7038 doi: 10.1002/2050-7038.12327spa
dcterms.bibliographicCitationKhalid, M., Akram, U., Shafiq, S. Optimal planning of multiple distributed generating units and storage in active distribution networks (Open Access) (2018) IEEE Access, 6, art. no. 8476295, pp. 55234-55244. Cited 49 times. http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639 doi: 10.1109/ACCESS.2018.2872788spa
dcterms.bibliographicCitationLakum, A., Mahajan, V. Optimal placement and sizing of multiple active power filters in radial distribution system using grey wolf optimizer in presence of nonlinear distributed generation (2019) Electric Power Systems Research, 173, pp. 281-290. Cited 39 times. doi: 10.1016/j.epsr.2019.04.001spa
dcterms.bibliographicCitationVeeramsetty, V., Venkaiah, C., Kumar, D.M.V. Hybrid genetic dragonfly algorithm based optimal power flow for computing LMP at DG buses for reliability improvement (2018) Energy Systems, 9 (3), pp. 709-757. Cited 27 times. http://www.springer.com/engineering/energy+technology/journal/12667 doi: 10.1007/s12667-017-0268-2spa
dcterms.bibliographicCitationGrisales-Noreña, L.F., Montoya, O.D., Gil-González, W. Integration of energy storage systems in AC distribution networks: Optimal location, selecting, and operation approach based on genetic algorithms (2019) Journal of Energy Storage, 25, art. no. 100891. Cited 42 times. http://www.journals.elsevier.com/journal-of-energy-storage/ doi: 10.1016/j.est.2019.100891spa
dcterms.bibliographicCitationMavalizadeh, H., Ahmadi, A., Heidari, A. Probabilistic multi-objective generation and transmission expansion planning problem using normal boundary intersection (2015) IET Generation, Transmission and Distribution, 9 (6), pp. 560-570. Cited 51 times. https://ietresearch.onlinelibrary.wiley.com/journal/17518695 doi: 10.1049/iet-gtd.2014.0278spa
dcterms.bibliographicCitationPalmintier, B.S., Webster, M.D. Impact of Operational Flexibility on Electricity Generation Planning with Renewable and Carbon Targets (2016) IEEE Transactions on Sustainable Energy, 7 (2), art. no. 7350236, pp. 672-684. Cited 156 times. doi: 10.1109/TSTE.2015.2498640spa
dcterms.bibliographicCitationPereira, S., Ferreira, P., Vaz, A.I.F. Generation expansion planning with high share of renewables of variable output (Open Access) (2017) Applied Energy, 190, pp. 1275-1288. Cited 88 times. http://www.elsevier.com/inca/publications/store/4/0/5/8/9/1/index.htt doi: 10.1016/j.apenergy.2017.01.025spa
dcterms.bibliographicCitationLi, J., Shen, Z., Chen, X., Yang, S., Zhou, W., Wang, M., Wang, L., (...), Li, F. Grain-orientation-engineered multilayer ceramic capacitors for energy storage applications (Open Access) (2020) Nature Materials, 19 (9), pp. 999-1005. Cited 271 times. http://www.nature.com/nmat/ doi: 10.1038/s41563-020-0704-xspa
dcterms.bibliographicCitationHuang, X., Chen, X., Li, A., Atinafu, D., Gao, H., Dong, W., Wang, G. Shape-stabilized phase change materials based on porous supports for thermal energy storage applications (Open Access) (2019) Chemical Engineering Journal, 356, pp. 641-661. Cited 412 times. www.elsevier.com/inca/publications/store/6/0/1/2/7/3/index.htt doi: 10.1016/j.cej.2018.09.013spa
dcterms.bibliographicCitationYao, F.-Z., Yuan, Q., Wang, Q., Wang, H. Multiscale structural engineering of dielectric ceramics for energy storage applications: From bulk to thin films (2020) Nanoscale, 12 (33), pp. 17165-17184. Cited 95 times. http://pubs.rsc.org/en/journals/journal/nr doi: 10.1039/d0nr04479bspa
dcterms.bibliographicCitationBozorgavari, S.A., Aghaei, J., Pirouzi, S., Nikoobakht, A., Farahmand, H., Korpås, M. Robust planning of distributed battery energy storage systems in flexible smart distribution networks: A comprehensive study (Open Access) (2020) Renewable and Sustainable Energy Reviews, 123, art. no. 109739. Cited 55 times. https://www.journals.elsevier.com/renewable-and-sustainable-energy-reviews doi: 10.1016/j.rser.2020.109739spa
dcterms.bibliographicCitationMehrjerdi, H., Hemmati, R., Farrokhi, E. Nonlinear stochastic modeling for optimal dispatch of distributed energy resources in active distribution grids including reactive power (2019) Simulation Modelling Practice and Theory, 94, pp. 1-13. Cited 21 times. http://www.sciencedirect.com/science/journal/1569190X doi: 10.1016/j.simpat.2019.01.005spa
dcterms.bibliographicCitationArandian, B., Ardehali, M.M. Effects of environmental emissions on optimal combination and allocation of renewable and non-renewable CHP technologies in heat and electricity distribution networks based on improved particle swarm optimization algorithm (2017) Energy, Part 1 140, pp. 466-480. Cited 29 times. www.elsevier.com/inca/publications/store/4/8/3/ doi: 10.1016/j.energy.2017.08.101spa
dcterms.bibliographicCitationAhmadigorji, M., Amjady, N. A multiyear DG-incorporated framework for expansion planning of distribution networks using binary chaotic shark smell optimization algorithm (2016) Energy, 102, pp. 199-215. Cited 46 times. www.elsevier.com/inca/publications/store/4/8/3/ doi: 10.1016/j.energy.2016.02.088spa
dcterms.bibliographicCitationRama Prabha, D., Jayabarathi, T. Optimal placement and sizing of multiple distributed generating units in distribution networks by invasive weed optimization algorithm (Open Access) (2016) Ain Shams Engineering Journal, 7 (2), pp. 683-694. Cited 143 times. http://www.elsevier.com/wps/find/journaldescription.cws_home/724208/description#description doi: 10.1016/j.asej.2015.05.014spa
dcterms.bibliographicCitationInjeti, S.K., Thunuguntla, V.K., Shareef, M. Optimal allocation of capacitor banks in radial distribution systems for minimization of real power loss and maximization of network savings using bio-inspired optimization algorithms (2015) International Journal of Electrical Power and Energy Systems, 69, pp. 441-455. Cited 77 times. doi: 10.1016/j.ijepes.2015.01.040spa
dcterms.bibliographicCitationSenthil kumar, J., Charles Raja, S., Srinivasan, D., Venkatesh, P. Hybrid renewable energy-based distribution system for seasonal load variations (2018) International Journal of Energy Research, 42 (3), pp. 1066-1087. Cited 43 times. http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1099-114X doi: 10.1002/er.3902spa
dcterms.bibliographicCitationRoy, K., Mandal, K.K., Mandal, A.C. Application of ANFASO for optimal power flow management of MG-connected system with energy storage (Open Access) (2020) International Journal of Energy Research, 44 (7), pp. 5272-5286. Cited 8 times. http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1099-114X doi: 10.1002/er.5273spa
dcterms.bibliographicCitationKaveh, M.R., Hooshmand, R.-A., Madani, S.M. Simultaneous optimization of re-phasing, reconfiguration and DG placement in distribution networks using BF-SD algorithm (2018) Applied Soft Computing Journal, 62, pp. 1044-1055. Cited 46 times. http://www.elsevier.com/wps/find/journaldescription.cws_home/621920/description#description doi: 10.1016/j.asoc.2017.09.041spa
dcterms.bibliographicCitationSegundo Sevilla, F.R., Parra, D., Wyrsch, N., Patel, M.K., Kienzle, F., Korba, P. Techno-economic analysis of battery storage and curtailment in a distribution grid with high PV penetration (Open Access) (2018) Journal of Energy Storage, 17, pp. 73-83. Cited 58 times. http://www.journals.elsevier.com/journal-of-energy-storage/ doi: 10.1016/j.est.2018.02.001spa
dcterms.bibliographicCitationSok, V., Tayjasanant, T. Determination of optimal siting and sizing of energy storage system in PV-connected distribution systems considering minimum energy losses (2017) ECTI-CON 2017 - 2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, art. no. 8096271, pp. 451-454. Cited 8 times. ISBN: 978-153860449-6 doi: 10.1109/ECTICon.2017.8096271spa
dcterms.bibliographicCitationAmooi, R., Moghaddas-Tafreshi, S.M. Operation of an active distribution network with PV and storage battery and vehicle charge station and modeling of uncertainty with copula model (Open Access) (2019) 2019 10th International Power Electronics, Drive Systems and Technologies Conference, PEDSTC 2019, art. no. 8697757, pp. 407-414. Cited 5 times. http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8692369 ISBN: 978-153869254-7 doi: 10.1109/PEDSTC.2019.8697757spa
dcterms.bibliographicCitationKong, X., Liu, C., Shen, Y., Hu, W., Ma, T. Power supply reliability evaluation based on big data analysis for distribution networks considering uncertain factors (Open Access) (2020) Sustainable Cities and Society, 63, art. no. 102483. Cited 17 times. http://www.elsevier.com/wps/find/journaldescription.cws_home/724360/description#description doi: 10.1016/j.scs.2020.102483spa
datacite.rightshttp://purl.org/coar/access_right/c_abf2spa
oaire.versionhttp://purl.org/coar/version/c_b1a7d7d4d402bccespa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.hasversioninfo:eu-repo/semantics/draftspa
dc.identifier.doi10.3390/en15238889
dc.subject.keywordsPlacement;spa
dc.subject.keywordsActive Distribution Network;spa
dc.subject.keywordsVoltage Stabilityspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.identifier.instnameUniversidad Tecnológica de Bolívarspa
dc.identifier.reponameRepositorio Universidad Tecnológica de Bolívarspa
dc.publisher.placeCartagena de Indiasspa
dc.subject.armarcLEMB
dc.type.spahttp://purl.org/coar/resource_type/c_6501spa
oaire.resourcetypehttp://purl.org/coar/resource_type/c_6501spa


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Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.