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...
- Autores:
-
Dhivya, S.
Arul, R.
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/10361
- Palabra clave:
- Demand side management
Distributed generation
Energy
Datasets
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by/4.0/
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Demand side management studies on distributed energy resources: A survey |
| title |
Demand side management studies on distributed energy resources: A survey |
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Demand side management studies on distributed energy resources: A survey Demand side management Distributed generation Energy Datasets LEMB |
| 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 |
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Demand side management studies on distributed energy resources: A survey |
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Dhivya, S. Arul, R. |
| dc.contributor.author.none.fl_str_mv |
Dhivya, S. Arul, R. |
| dc.subject.keywords.spa.fl_str_mv |
Demand side management Distributed generation Energy |
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Demand side management Distributed generation Energy Datasets LEMB |
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Datasets |
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LEMB |
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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. |
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2020 |
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2020-05-08 |
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2021-08-26T13:23:00Z |
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2021-08-26T13:23:00Z |
| dc.date.submitted.none.fl_str_mv |
2021-08-24 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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info:eu-repo/semantics/article |
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Dhivya, S., & Arul, R. (2021). Demand Side Management Studies on Distributed Energy Resources: A Survey*. Transactions on Energy Systems and Engineering Applications, 2(1), 17-31. https://doi.org/10.32397/tesea.vol2.n1.2 |
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https://hdl.handle.net/20.500.12585/10361 |
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https://doi.org/10.32397/tesea.vol2.n1.2 |
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Universidad Tecnológica de Bolívar |
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Repositorio Universidad Tecnológica de Bolívar |
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Dhivya, S., & Arul, R. (2021). Demand Side Management Studies on Distributed Energy Resources: A Survey*. Transactions on Energy Systems and Engineering Applications, 2(1), 17-31. https://doi.org/10.32397/tesea.vol2.n1.2 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
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https://hdl.handle.net/20.500.12585/10361 https://doi.org/10.32397/tesea.vol2.n1.2 |
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eng |
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eng |
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info:eu-repo/semantics/openAccess |
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Atribución 4.0 Internacional |
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http://creativecommons.org/licenses/by/4.0/ Atribución 4.0 Internacional http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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16 páginas |
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application/pdf |
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Cartagena de Indias |
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Campus Tecnológico |
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Ingeniería Electrónica |
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TESEA 2020, Volume 1, Number 2 |
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Dhivya, S.1935d55b-7765-4482-8373-8e8133375004Arul, R.498558c4-f646-4555-aeeb-19e4dba74fc92021-08-26T13:23:00Z2021-08-26T13:23:00Z2020-05-082021-08-24Dhivya, S., & Arul, R. (2021). Demand Side Management Studies on Distributed Energy Resources: A Survey*. Transactions on Energy Systems and Engineering Applications, 2(1), 17-31. https://doi.org/10.32397/tesea.vol2.n1.2https://hdl.handle.net/20.500.12585/10361https://doi.org/10.32397/tesea.vol2.n1.2Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThe 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.Universidad Tecnológica de Bolívar16 páginasapplication/pdfenghttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessAtribución 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2TESEA 2020, Volume 1, Number 2Demand side management studies on distributed energy resources: A surveyinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Demand side managementDistributed generationEnergyDatasetsLEMBCartagena de IndiasCampus TecnológicoIngeniería ElectrónicaInvestigadoresArul, 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). 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Energies, 5(9), 3347-3362. doi:10.3390/en5093347Kinhekar, 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.2013.10.011Kuo, H.-H., Pradhan, S. K., Wu, C.-L., Cheng, P.-H., Xie, Y., & Fu, L.-C. (2016). Dynamic demandside 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.2016.7743526Liu, 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.2014.2332301Logenthiran, T., Srinivasan, D., & Shun, T. Z. (Septiembre de 2012). 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On Hierarchical Power Scheduling for the Macrogrid and Cooperative Microgrids. IEEE Transactions on Industrial Informatics, 11(6), 15741584. doi:10.1109/TII.2015.2417496Wang, 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.2015.2427513Wang, 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.2015.2427371Zhang, 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.2015.00043Zhang, 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.2014.6966581Zhu, 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.2012.6175785Zou, 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). 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Configuration of Domestic DSM.jpg.jpgFig. 2. Configuration of Domestic DSM.jpg.jpgGenerated Thumbnailimage/jpeg25549https://repositorio.utb.edu.co/bitstream/20.500.12585/10361/10/Fig.%202.%20Configuration%20of%20Domestic%20DSM.jpg.jpg536ae295275a771b8b567aa2caafca7cMD510Fig. 3 Flow chart of the DSM for commercial purposes.jpg.jpgFig. 3 Flow chart of the DSM for commercial purposes.jpg.jpgGenerated Thumbnailimage/jpeg32156https://repositorio.utb.edu.co/bitstream/20.500.12585/10361/11/Fig.%203%20Flow%20chart%20of%20the%20DSM%20for%20commercial%20purposes.jpg.jpg1b7892f3632edc85c51897590b8e8f49MD511Fig.1 Flowchart of DSM through PSO.jpg.jpgFig.1 Flowchart of DSM through PSO.jpg.jpgGenerated Thumbnailimage/jpeg40347https://repositorio.utb.edu.co/bitstream/20.500.12585/10361/12/Fig.1%20Flowchart%20of%20DSM%20through%20PSO.jpg.jpg7c2a1c66882eb7174795e3e75923605dMD51220.500.12585/10361oai:repositorio.utb.edu.co:20.500.12585/103612022-02-19 02:34:06.905Repositorio Institucional 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