Demand Side Management Studies on Distributed Energy Resources: A Survey*

The number of distributed environmentally friendly energy sources and generators necessitates new operating methods and a power network board to preserve or even increase the efficiency and quality of the power supply. Similarly, the growth of matriculates promotes the formation of new institutional...

Full description

Autores:: Dhivya, S.
Arul, R.

Tipo de recurso:: Article of journal

Fecha de publicación:: 2021

Institución:: Universidad Tecnológica de Bolívar

Repositorio:: Repositorio Institucional UTB

Idioma:: eng

id	UTB2_f272ec6c42f4f893664a25ef5256cb34
oai_identifier_str	oai:repositorio.utb.edu.co:20.500.12585/13489
network_acronym_str	UTB2
network_name_str	Repositorio Institucional UTB
repository_id_str
dc.title.spa.fl_str_mv	Demand Side Management Studies on Distributed Energy Resources: A Survey*
dc.title.translated.spa.fl_str_mv	Demand Side Management Studies on Distributed Energy Resources: A Survey*
title	Demand Side Management Studies on Distributed Energy Resources: A Survey*
spellingShingle	Demand Side Management Studies on Distributed Energy Resources: A Survey* Demand side management Distributed Generation Energy Demand side management Distributed Generation Energy
title_short	Demand Side Management Studies on Distributed Energy Resources: A Survey*
title_full	Demand Side Management Studies on Distributed Energy Resources: A Survey*
title_fullStr	Demand Side Management Studies on Distributed Energy Resources: A Survey*
title_full_unstemmed	Demand Side Management Studies on Distributed Energy Resources: A Survey*
title_sort	Demand Side Management Studies on Distributed Energy Resources: A Survey*
dc.creator.fl_str_mv	Dhivya, S. Arul, R.
dc.contributor.author.eng.fl_str_mv	Dhivya, S. Arul, R.
dc.subject.eng.fl_str_mv	Demand side management Distributed Generation Energy
topic	Demand side management Distributed Generation Energy Demand side management Distributed Generation Energy
dc.subject.spa.fl_str_mv	Demand side management Distributed Generation Energy
description	The number of distributed environmentally friendly energy sources and generators necessitates new operating methods and a power network board to preserve or even increase the efficiency and quality of the power supply. Similarly, the growth of matriculates promotes the formation of new institutional systems, in which power and power exchanges become increasingly essential. Because of how an inactive entity traditionally organizes distribution systems, the DG’s connection inevitably changes the system’s qualifications to which it is connected. As a consequence of the Distributed Generation, this presumption is currently legal and non-existent. This article glides on demand side management and analysis on distributed energy resources. Investigation of DSM along with zonal wise classification has been carried out in this survey. Its merits and applications are also presented.
publishDate	2021
dc.date.accessioned.none.fl_str_mv	2021-07-30 00:00:00 2025-05-21T19:15:43Z
dc.date.available.none.fl_str_mv	2021-07-30 00:00:00
dc.date.issued.none.fl_str_mv	2021-07-30
dc.type.spa.fl_str_mv	Artículo de revista
dc.type.coar.fl_str_mv	http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.driver.eng.fl_str_mv	info:eu-repo/semantics/article
dc.type.coar.eng.fl_str_mv	http://purl.org/coar/resource_type/c_6501
dc.type.local.eng.fl_str_mv	Journal article
dc.type.content.eng.fl_str_mv	Text
dc.type.version.eng.fl_str_mv	info:eu-repo/semantics/publishedVersion
dc.type.coarversion.eng.fl_str_mv	http://purl.org/coar/version/c_970fb48d4fbd8a85
format	http://purl.org/coar/resource_type/c_6501
status_str	publishedVersion
dc.identifier.uri.none.fl_str_mv	https://hdl.handle.net/20.500.12585/13489
dc.identifier.url.none.fl_str_mv	https://doi.org/10.32397/tesea.vol2.n1.2
dc.identifier.doi.none.fl_str_mv	10.32397/tesea.vol2.n1.2
dc.identifier.eissn.none.fl_str_mv	2745-0120
url	https://hdl.handle.net/20.500.12585/13489 https://doi.org/10.32397/tesea.vol2.n1.2
identifier_str_mv	10.32397/tesea.vol2.n1.2 2745-0120
dc.language.iso.eng.fl_str_mv	eng
language	eng
dc.relation.references.eng.fl_str_mv	Arul, R., Ravi, G., & Sangoden, V. (2006). Artifical Intelligent Solutions to Energy Management Problems. National conference on computational intelligence to emerging electric power systems. Puducherry, India: Pondicherry Engineering College. Celik, B., Roche, R., Bouquain, D., & Miraoui, A. (2018). Decentralized Neighborhood Energy Management With Coordinated Smart Home Energy Sharing. IEEE Transactions on Smart Grid, 9(6), 6387-6397. doi:10.1109/TSG.2017.2710358 Che, L., Shahidehpour, M., Alabdulwahab, A., & Al-Turki, Y. (Noviembre de 2015). Hierarchical Coordination of a Community Microgrid With AC and DC Microgrids. IEEE Transactions on Smart Grid, 6(6), 3042-3051. doi:10.1109/TSG.2015.2398853 Cheng, P.-H., Huang, T.-H., Chien, Y.-W., Wu, C.-L., & Fu, L.-C. (5-8 de Octubre de 2017). Demand-side management in residential community realizing sharing economy with bidirectional PEV. 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Banff, AB, Canada: IEEE. doi:10.1109/SMC.2017.8122846 Hasib, A. A., Nikitin, N., & Natvig, L. (2014). Load scheduling in smart buildings with bidirectional energy trading. IEEE 33rd International Performance Computing and Communications Conference (IPCCC). Austin, TX, USA: IEEE. doi:10.1109/PCCC.2014.7017039 Hsu, Y.-Y., & Su, C.-C. (Agosto de 1991). Dispatch of direct load control using dynamic programming. IEEE Transactions on Power Systems, 6(3), 1056 - 1061. doi:10.1109/59.119246 Kamal, M., Assi, C., Maier, M., & Uddin, M. (Enero de 2014). Smart Microgrids: Optimal Joint Scheduling for Electric Vehicles and Home Appliances. IEEE Transactions on Smart Grid, 5(1), 239250. doi:10.1109/TSG.2013.2290894 Kim, B.-G., Ren, S., van der Schaar, M., & Lee, J.-W. (2013). Bidirectional Energy Trading and Residential Load Scheduling with Electric Vehicles in the Smart Grid. IEEE Journal on Selected Areas in Communications, 31(7), 1219-1234. doi:10.1109/JSAC.2013.130706 Kim, H.-M., Kinoshita, T., & Shin, M.-C. (2010). A Multiagent System for Autonomous Operation of Islanded Microgrids Based on a Power Market Environment. Energies, 3(12), 1972-1990. doi:10.3390/en3121972 Kim, H.-M., Lim, Y., & Kinoshita, T. (2012). An Intelligent Multiagent System for Autonomous Microgrid Operation. Energies, 5(9), 3347-3362. doi:10.3390/en5093347 Kinhekar, N., Padhy, N. P., & Gupta, H. O. (Febrero de 2014). Multiobjective demand side management solutions for utilities with peak demand deficit. International Journal of Electrical Power & Energy Systems, 55, 612-619. doi:10.1016/j.ijepes.2013.10.011 Kuo, H.-H., Pradhan, S. K., Wu, C.-L., Cheng, P.-H., Xie, Y., & Fu, L.-C. (2016). Dynamic demand-side management with user's privacy concern in residential community. 2016 IEEE International Conference on Automation Science and Engineering (CASE). Fort Worth, TX, USA: IEEE. doi:10.1109/COASE.2016.7743526 Liu, Y., Yuen, C., Huang, S., Hassan, N. U., & Wang, X. X. (Diciembre de 2014). Peak-to-Average Ratio Constrained Demand-Side Management With Consumer's Preference in Residential Smart Grid. IEEE Journal of Selected Topics in Signal Processing, 8(6), 1084-1097. doi:10.1109/JSTSP.2014.2332301 Logenthiran, T., Srinivasan, D., & Shun, T. Z. (Septiembre de 2012). Demand Side Management in Smart Grid Using Heuristic Optimization. IEEE Transactions on Smart Grid, 3(3), 1244-1252. doi:10.1109/TSG.2012.2195686 Moghaddam Arani, M. F., & I. Mohamed, Y. A.-R. (Noviembre de 2018). Cooperative Control of Wind Power Generator and Electric Vehicles for Microgrid Primary Frequency Regulation. IEEE Transactions on Smart Grid, 9(6), 5677-5686. doi:10.1109/TSG.2017.2693992 Nguyen, D. T., & Le, L. B. (Septiembre de 2014). Joint Optimization of Electric Vehicle and Home Energy Scheduling Considering User Comfort Preference. IEEE Transactions on Smart Grid, 5(1), 188-199. doi:10.1109/TSG.2013.2274521 Nikmehr, N., & Ravadanegh, S. N. (Julio de 2015). Optimal Power Dispatch of Multi-Microgrids at Future Smart Distribution Grids. IEEE Transactions on Smart Grid, 6(4), 1648 - 1657. doi:10.1109/TSG.2015.2396992 Nikmehr, N., & Ravadanegh, S. N. (2016). Reliability evaluation of multi-microgrids considering optimal operation of small scale energy zones under load-generation uncertainties. International Journal of Electrical Power & Energy Systems, 78, 80-87. doi:10.1016/j.ijepes.2015.11.094 Ogwumike, C., Short, M., & Denai, M. (2015). Near-optimal scheduling of residential smart home appliances using heuristic approach. 2015 IEEE International Conference on Industrial Technology (ICIT). Seville, Spain: IEEE. doi:10.1109/ICIT.2015.7125560 Olivares, D. E., Cañizares, C. A., & Kazerani, M. (2014). A Centralized Energy Management System for Isolated Microgrids. IEEE Transactions on Smart Grid, 5(4), 1864 - 1875. doi:10.1109/TSG.2013.2294187 Peças Lopes, J. A., Soares, F. J., & Rocha Almeida, P. M. (Enero de 2011). Integration of Electric Vehicles in the Electric Power System. Proceedings of the IEEE, 99(1), 168 - 183. doi:10.1109/JPROC.2010.2066250 Sheikhi, A., Bahrami, S., & Ranjbar, A. M. (2015). An autonomous demand response program for electricity and natural gas networks in smart energy hubs. Energy, 89, 490-499. doi:10.1016/j.energy.2015.05.109 Sheikhi, A., Rayati, M., & Ranjbar, A. (Julio de 2016). Dynamic load management for a residential customer; Reinforcement Learning approach. Sustainable Cities and Society, 24, 42-51. doi:10.1016/j.scs.2016.04.001 Sheikhi, A., Rayati, M., Bahrami, S., & Ranjbar, A. M. (9 de Enero de 2015). Integrated Demand Side Management Game in Smart Energy Hubs. IEEE Transactions on Smart Grid, 6(2), 675 - 683. doi:10.1109/TSG.2014.2377020 Sherif, H., Zhu, Z., & Lambotharan, S. (2014). An optimization framework for home demand side management incorporating electric vehicles. 2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA). Kuala Lumpur, Malaysia: IEEE. doi:10.1109/ISGT-Asia.2014.6873764 Song, N.-O., Lee, J.-H., Kim, H.-M., Im, Y. H., & Lee, J. Y. (2015). Optimal Energy Management of Multi-Microgrids with Sequentially Coordinated Operations. Energies, 8(8), 8371-8390. doi:10.3390/en8088371 Tian, P., Xiao, X., Wang, K. D., & Ruoxing. (Septiembre de 2016). A Hierarchical Energy Management System Based on Hierarchical Optimization for Microgrid Community Economic Operation. IEEE Transactions on Smart Grid, 7(5), 2230-2241. doi:10.1109/TSG.2015.2470551 Tsikalakis, A. G., & Hatziargyriou, N. D. (2011). Centralized control for optimizing microgrids operation. 2011 IEEE Power and Energy Society General Meeting. Detroit, MI, USA: IEEE. doi:10.1109/PES.2011.6039737 Turker, H., Hably, A., & Bacha, S. (2013). Housing peak shaving algorithm (HPSA) with plug-in hybrid electric vehicles (PHEVs): Vehicle-to-Home (V2H) and Vehicle-to-Grid (V2G) concepts. 4th International Conference on Power Engineering, Energy and Electrical Drives. Istanbul, Turkey: IEEE. doi:10.1109/PowerEng.2013.6635704 Wang, Y., Mao, S., & Nelms, R. M. (Dicembre de 2015). On Hierarchical Power Scheduling for the Macrogrid and Cooperative Microgrids. IEEE Transactions on Industrial Informatics, 11(6), 15741584. doi:10.1109/TII.2015.2417496 Wang, Z., Chen, B., Wang, J., & Chen, C. (Enero de 2016). Networked Microgrids for Self-Healing Power Systems. IEEE Transactions on Smart Grid, 7(1), 310-319. doi:10.1109/TSG.2015.2427513 Wang, Z., Chen, B., Wang, J., & kim, J. (2016). Decentralized Energy Management System for Networked Microgrids in Grid-Connected and Islanded Modes. IEEE Transactions on Smart Grid, 7(2), 1097-1105. doi:10.1109/TSG.2015.2427371 Zhang, F., Zhao, H., & Hong, M. (Diciembre de 2015). Operation of networked microgrids in a distribution system. CSEE Journal of Power and Energy Systems, 1(4), 12-21. doi:10.17775/CSEEJPES.2015.00043 Zhang, W., Chen, G., Su, Y., Dong, Z., & Li, J. (2014). A dynamic game behavior: Demand side management based on utility maximization with renewable energy and storage integration. 2014 Australasian Universities Power Engineering Conference (AUPEC). Perth, WA, Australia: IEEE. doi:10.1109/AUPEC.2014.6966581 Zhu, Z., Tang, J., Lambotharan, S., Chin, W. H., & Fan, Z. (16-20 de Enero de 2012). An integer linear programming based optimization for home demand-side management in smart grid. 2012 IEEE PES Innovative Smart Grid Technologies (ISGT). Washington, DC, USA: IEEE. doi:10.1109/ISGT.2012.6175785 Zou, N., Qian, L., Attia, J., & Xie, L. (2012). Optimization of Home Energy Usage by Intelligently Charging/Discharging EV/PHEV. 2012 International Conference on Connected Vehicles and Expo (ICCVE). Beijing, China: IEEE. doi:10.1109/ICCVE.2012.70
dc.relation.ispartofjournal.eng.fl_str_mv	Transactions on Energy Systems and Engineering Applications
dc.relation.citationvolume.eng.fl_str_mv	2
dc.relation.citationstartpage.none.fl_str_mv	17
dc.relation.citationendpage.none.fl_str_mv	31
dc.relation.bitstream.none.fl_str_mv	https://revistas.utb.edu.co/tesea/article/download/426/351
dc.relation.citationedition.eng.fl_str_mv	Núm. 1 , Año 2021 : Transactions on Energy Systems and Engineering Applications
dc.relation.citationissue.eng.fl_str_mv	1
dc.rights.eng.fl_str_mv	S. Dhivya, R. Arul - 2021
dc.rights.uri.eng.fl_str_mv	https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rights.accessrights.eng.fl_str_mv	info:eu-repo/semantics/openAccess
dc.rights.coar.eng.fl_str_mv	http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv	S. Dhivya, R. Arul - 2021 https://creativecommons.org/licenses/by-nc-sa/4.0/ http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv	openAccess
dc.format.mimetype.eng.fl_str_mv	application/pdf
dc.publisher.eng.fl_str_mv	Universidad Tecnológica de Bolívar
dc.source.eng.fl_str_mv	https://revistas.utb.edu.co/tesea/article/view/426
institution	Universidad Tecnológica de Bolívar
repository.name.fl_str_mv	Repositorio Digital Universidad Tecnológica de Bolívar
repository.mail.fl_str_mv	bdigital@metabiblioteca.com
_version_	1858228417880653824
spelling	Dhivya, S.Arul, R.2021-07-30 00:00:002025-05-21T19:15:43Z2021-07-30 00:00:002021-07-30https://hdl.handle.net/20.500.12585/13489https://doi.org/10.32397/tesea.vol2.n1.210.32397/tesea.vol2.n1.22745-0120The number of distributed environmentally friendly energy sources and generators necessitates new operating methods and a power network board to preserve or even increase the efficiency and quality of the power supply. Similarly, the growth of matriculates promotes the formation of new institutional systems, in which power and power exchanges become increasingly essential. Because of how an inactive entity traditionally organizes distribution systems, the DG’s connection inevitably changes the system’s qualifications to which it is connected. As a consequence of the Distributed Generation, this presumption is currently legal and non-existent. This article glides on demand side management and analysis on distributed energy resources. Investigation of DSM along with zonal wise classification has been carried out in this survey. Its merits and applications are also presented.The number of distributed environmentally friendly energy sources and generators necessitates new operating methods and a power network board to preserve or even increase the efficiency and quality of the power supply. Similarly, the growth of matriculates promotes the formation of new institutional systems, in which power and power exchanges become increasingly essential. Because of how an inactive entity traditionally organizes distribution systems, the DG’s connection inevitably changes the system’s qualifications to which it is connected. As a consequence of the Distributed Generation, this presumption is currently legal and non-existent. This article glides on demand side management and analysis on distributed energy resources. Investigation of DSM along with zonal wise classification has been carried out in this survey. Its merits and applications are also presented.application/pdfengUniversidad Tecnológica de BolívarS. Dhivya, R. Arul - 2021https://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2https://revistas.utb.edu.co/tesea/article/view/426Demand side managementDistributed GenerationEnergyDemand side managementDistributed GenerationEnergyDemand Side Management Studies on Distributed Energy Resources: A SurveyDemand Side Management Studies on Distributed Energy Resources: A SurveyArtículo de revistainfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Journal articleTextinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Arul, R., Ravi, G., & Sangoden, V. (2006). Artifical Intelligent Solutions to Energy Management Problems. National conference on computational intelligence to emerging electric power systems. Puducherry, India: Pondicherry Engineering College. Celik, B., Roche, R., Bouquain, D., & Miraoui, A. (2018). Decentralized Neighborhood Energy Management With Coordinated Smart Home Energy Sharing. IEEE Transactions on Smart Grid, 9(6), 6387-6397. doi:10.1109/TSG.2017.2710358 Che, L., Shahidehpour, M., Alabdulwahab, A., & Al-Turki, Y. (Noviembre de 2015). Hierarchical Coordination of a Community Microgrid With AC and DC Microgrids. IEEE Transactions on Smart Grid, 6(6), 3042-3051. doi:10.1109/TSG.2015.2398853 Cheng, P.-H., Huang, T.-H., Chien, Y.-W., Wu, C.-L., & Fu, L.-C. (5-8 de Octubre de 2017). Demand-side management in residential community realizing sharing economy with bidirectional PEV. 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Banff, AB, Canada: IEEE. doi:10.1109/SMC.2017.8122846 Hasib, A. A., Nikitin, N., & Natvig, L. (2014). Load scheduling in smart buildings with bidirectional energy trading. IEEE 33rd International Performance Computing and Communications Conference (IPCCC). Austin, TX, USA: IEEE. doi:10.1109/PCCC.2014.7017039 Hsu, Y.-Y., & Su, C.-C. (Agosto de 1991). Dispatch of direct load control using dynamic programming. IEEE Transactions on Power Systems, 6(3), 1056 - 1061. doi:10.1109/59.119246 Kamal, M., Assi, C., Maier, M., & Uddin, M. (Enero de 2014). Smart Microgrids: Optimal Joint Scheduling for Electric Vehicles and Home Appliances. IEEE Transactions on Smart Grid, 5(1), 239250. doi:10.1109/TSG.2013.2290894 Kim, B.-G., Ren, S., van der Schaar, M., & Lee, J.-W. (2013). Bidirectional Energy Trading and Residential Load Scheduling with Electric Vehicles in the Smart Grid. IEEE Journal on Selected Areas in Communications, 31(7), 1219-1234. doi:10.1109/JSAC.2013.130706 Kim, H.-M., Kinoshita, T., & Shin, M.-C. (2010). A Multiagent System for Autonomous Operation of Islanded Microgrids Based on a Power Market Environment. Energies, 3(12), 1972-1990. doi:10.3390/en3121972 Kim, H.-M., Lim, Y., & Kinoshita, T. (2012). An Intelligent Multiagent System for Autonomous Microgrid Operation. Energies, 5(9), 3347-3362. doi:10.3390/en5093347 Kinhekar, N., Padhy, N. P., & Gupta, H. O. (Febrero de 2014). Multiobjective demand side management solutions for utilities with peak demand deficit. International Journal of Electrical Power & Energy Systems, 55, 612-619. doi:10.1016/j.ijepes.2013.10.011 Kuo, H.-H., Pradhan, S. K., Wu, C.-L., Cheng, P.-H., Xie, Y., & Fu, L.-C. (2016). Dynamic demand-side management with user's privacy concern in residential community. 2016 IEEE International Conference on Automation Science and Engineering (CASE). Fort Worth, TX, USA: IEEE. doi:10.1109/COASE.2016.7743526 Liu, Y., Yuen, C., Huang, S., Hassan, N. U., & Wang, X. X. (Diciembre de 2014). Peak-to-Average Ratio Constrained Demand-Side Management With Consumer's Preference in Residential Smart Grid. IEEE Journal of Selected Topics in Signal Processing, 8(6), 1084-1097. doi:10.1109/JSTSP.2014.2332301 Logenthiran, T., Srinivasan, D., & Shun, T. Z. (Septiembre de 2012). Demand Side Management in Smart Grid Using Heuristic Optimization. IEEE Transactions on Smart Grid, 3(3), 1244-1252. doi:10.1109/TSG.2012.2195686 Moghaddam Arani, M. F., & I. Mohamed, Y. A.-R. (Noviembre de 2018). Cooperative Control of Wind Power Generator and Electric Vehicles for Microgrid Primary Frequency Regulation. IEEE Transactions on Smart Grid, 9(6), 5677-5686. doi:10.1109/TSG.2017.2693992 Nguyen, D. T., & Le, L. B. (Septiembre de 2014). Joint Optimization of Electric Vehicle and Home Energy Scheduling Considering User Comfort Preference. IEEE Transactions on Smart Grid, 5(1), 188-199. doi:10.1109/TSG.2013.2274521 Nikmehr, N., & Ravadanegh, S. N. (Julio de 2015). Optimal Power Dispatch of Multi-Microgrids at Future Smart Distribution Grids. IEEE Transactions on Smart Grid, 6(4), 1648 - 1657. doi:10.1109/TSG.2015.2396992 Nikmehr, N., & Ravadanegh, S. N. (2016). Reliability evaluation of multi-microgrids considering optimal operation of small scale energy zones under load-generation uncertainties. International Journal of Electrical Power & Energy Systems, 78, 80-87. doi:10.1016/j.ijepes.2015.11.094 Ogwumike, C., Short, M., & Denai, M. (2015). Near-optimal scheduling of residential smart home appliances using heuristic approach. 2015 IEEE International Conference on Industrial Technology (ICIT). Seville, Spain: IEEE. doi:10.1109/ICIT.2015.7125560 Olivares, D. E., Cañizares, C. A., & Kazerani, M. (2014). A Centralized Energy Management System for Isolated Microgrids. IEEE Transactions on Smart Grid, 5(4), 1864 - 1875. doi:10.1109/TSG.2013.2294187 Peças Lopes, J. A., Soares, F. J., & Rocha Almeida, P. M. (Enero de 2011). Integration of Electric Vehicles in the Electric Power System. Proceedings of the IEEE, 99(1), 168 - 183. doi:10.1109/JPROC.2010.2066250 Sheikhi, A., Bahrami, S., & Ranjbar, A. M. (2015). An autonomous demand response program for electricity and natural gas networks in smart energy hubs. Energy, 89, 490-499. doi:10.1016/j.energy.2015.05.109 Sheikhi, A., Rayati, M., & Ranjbar, A. (Julio de 2016). Dynamic load management for a residential customer; Reinforcement Learning approach. Sustainable Cities and Society, 24, 42-51. doi:10.1016/j.scs.2016.04.001 Sheikhi, A., Rayati, M., Bahrami, S., & Ranjbar, A. M. (9 de Enero de 2015). Integrated Demand Side Management Game in Smart Energy Hubs. IEEE Transactions on Smart Grid, 6(2), 675 - 683. doi:10.1109/TSG.2014.2377020 Sherif, H., Zhu, Z., & Lambotharan, S. (2014). An optimization framework for home demand side management incorporating electric vehicles. 2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA). Kuala Lumpur, Malaysia: IEEE. doi:10.1109/ISGT-Asia.2014.6873764 Song, N.-O., Lee, J.-H., Kim, H.-M., Im, Y. H., & Lee, J. Y. (2015). Optimal Energy Management of Multi-Microgrids with Sequentially Coordinated Operations. Energies, 8(8), 8371-8390. doi:10.3390/en8088371 Tian, P., Xiao, X., Wang, K. D., & Ruoxing. (Septiembre de 2016). A Hierarchical Energy Management System Based on Hierarchical Optimization for Microgrid Community Economic Operation. IEEE Transactions on Smart Grid, 7(5), 2230-2241. doi:10.1109/TSG.2015.2470551 Tsikalakis, A. G., & Hatziargyriou, N. D. (2011). Centralized control for optimizing microgrids operation. 2011 IEEE Power and Energy Society General Meeting. Detroit, MI, USA: IEEE. doi:10.1109/PES.2011.6039737 Turker, H., Hably, A., & Bacha, S. (2013). Housing peak shaving algorithm (HPSA) with plug-in hybrid electric vehicles (PHEVs): Vehicle-to-Home (V2H) and Vehicle-to-Grid (V2G) concepts. 4th International Conference on Power Engineering, Energy and Electrical Drives. Istanbul, Turkey: IEEE. doi:10.1109/PowerEng.2013.6635704 Wang, Y., Mao, S., & Nelms, R. M. (Dicembre de 2015). On Hierarchical Power Scheduling for the Macrogrid and Cooperative Microgrids. IEEE Transactions on Industrial Informatics, 11(6), 15741584. doi:10.1109/TII.2015.2417496 Wang, Z., Chen, B., Wang, J., & Chen, C. (Enero de 2016). Networked Microgrids for Self-Healing Power Systems. IEEE Transactions on Smart Grid, 7(1), 310-319. doi:10.1109/TSG.2015.2427513 Wang, Z., Chen, B., Wang, J., & kim, J. (2016). Decentralized Energy Management System for Networked Microgrids in Grid-Connected and Islanded Modes. IEEE Transactions on Smart Grid, 7(2), 1097-1105. doi:10.1109/TSG.2015.2427371 Zhang, F., Zhao, H., & Hong, M. (Diciembre de 2015). Operation of networked microgrids in a distribution system. CSEE Journal of Power and Energy Systems, 1(4), 12-21. doi:10.17775/CSEEJPES.2015.00043 Zhang, W., Chen, G., Su, Y., Dong, Z., & Li, J. (2014). A dynamic game behavior: Demand side management based on utility maximization with renewable energy and storage integration. 2014 Australasian Universities Power Engineering Conference (AUPEC). Perth, WA, Australia: IEEE. doi:10.1109/AUPEC.2014.6966581 Zhu, Z., Tang, J., Lambotharan, S., Chin, W. H., & Fan, Z. (16-20 de Enero de 2012). An integer linear programming based optimization for home demand-side management in smart grid. 2012 IEEE PES Innovative Smart Grid Technologies (ISGT). Washington, DC, USA: IEEE. doi:10.1109/ISGT.2012.6175785 Zou, N., Qian, L., Attia, J., & Xie, L. (2012). Optimization of Home Energy Usage by Intelligently Charging/Discharging EV/PHEV. 2012 International Conference on Connected Vehicles and Expo (ICCVE). Beijing, China: IEEE. doi:10.1109/ICCVE.2012.70Transactions on Energy Systems and Engineering Applications21731https://revistas.utb.edu.co/tesea/article/download/426/351Núm. 1 , Año 2021 : Transactions on Energy Systems and Engineering Applications120.500.12585/13489oai:repositorio.utb.edu.co:20.500.12585/134892025-05-21 14:15:43.265https://creativecommons.org/licenses/by-nc-sa/4.0/S. Dhivya, R. Arul - 2021metadata.onlyhttps://repositorio.utb.edu.coRepositorio Digital Universidad Tecnológica de Bolívarbdigital@metabiblioteca.com

Demand Side Management Studies on Distributed Energy Resources: A Survey*

Publicaciones similares