Modernized Planning of Smart Grid Based on Distributed Power Generations and Energy Storage Systems Using Soft Computing Methods
The 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...
- Autores:
-
Rajagopalan, Arul
Swaminathan, Dhivya
Alharbi, Meshal
Sengan, Sudhakar
Montoya, Oscar Danilo
El-Shafai, Walid
. Fouda, Mostafa M
Aly, Moustafa H.
- Tipo de recurso:
- Fecha de publicación:
- 2022
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12389
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12389
- Palabra clave:
- Placement;
Active Distribution Network;
Voltage Stability
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Modernized Planning of Smart Grid Based on Distributed Power Generations and Energy Storage Systems Using Soft Computing Methods |
| title |
Modernized Planning of Smart Grid Based on Distributed Power Generations and Energy Storage Systems Using Soft Computing Methods |
| spellingShingle |
Modernized Planning of Smart Grid Based on Distributed Power Generations and Energy Storage Systems Using Soft Computing Methods Placement; Active Distribution Network; Voltage Stability LEMB |
| title_short |
Modernized Planning of Smart Grid Based on Distributed Power Generations and Energy Storage Systems Using Soft Computing Methods |
| title_full |
Modernized Planning of Smart Grid Based on Distributed Power Generations and Energy Storage Systems Using Soft Computing Methods |
| title_fullStr |
Modernized Planning of Smart Grid Based on Distributed Power Generations and Energy Storage Systems Using Soft Computing Methods |
| title_full_unstemmed |
Modernized Planning of Smart Grid Based on Distributed Power Generations and Energy Storage Systems Using Soft Computing Methods |
| title_sort |
Modernized Planning of Smart Grid Based on Distributed Power Generations and Energy Storage Systems Using Soft Computing Methods |
| dc.creator.fl_str_mv |
Rajagopalan, Arul Swaminathan, Dhivya Alharbi, Meshal Sengan, Sudhakar Montoya, Oscar Danilo El-Shafai, Walid . Fouda, Mostafa M Aly, Moustafa H. |
| dc.contributor.author.none.fl_str_mv |
Rajagopalan, Arul Swaminathan, Dhivya Alharbi, Meshal Sengan, Sudhakar Montoya, Oscar Danilo El-Shafai, Walid . Fouda, Mostafa M Aly, Moustafa H. |
| dc.subject.keywords.spa.fl_str_mv |
Placement; Active Distribution Network; Voltage Stability |
| topic |
Placement; Active Distribution Network; Voltage Stability LEMB |
| dc.subject.armarc.none.fl_str_mv |
LEMB |
| description |
The 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. |
| publishDate |
2022 |
| dc.date.issued.none.fl_str_mv |
2022 |
| dc.date.accessioned.none.fl_str_mv |
2023-07-21T20:49:54Z |
| dc.date.available.none.fl_str_mv |
2023-07-21T20:49:54Z |
| dc.date.submitted.none.fl_str_mv |
2023 |
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http://purl.org/coar/version/c_b1a7d7d4d402bcce |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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info:eu-repo/semantics/article |
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info:eu-repo/semantics/draft |
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http://purl.org/coar/resource_type/c_6501 |
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draft |
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https://hdl.handle.net/20.500.12585/12389 |
| dc.identifier.doi.none.fl_str_mv |
10.3390/en15238889 |
| dc.identifier.instname.spa.fl_str_mv |
Universidad Tecnológica de Bolívar |
| dc.identifier.reponame.spa.fl_str_mv |
Repositorio Universidad Tecnológica de Bolívar |
| url |
https://hdl.handle.net/20.500.12585/12389 |
| identifier_str_mv |
10.3390/en15238889 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
| dc.language.iso.spa.fl_str_mv |
eng |
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eng |
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http://purl.org/coar/access_right/c_abf2 |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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info:eu-repo/semantics/openAccess |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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18 páginas |
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application/pdf |
| dc.publisher.place.spa.fl_str_mv |
Cartagena de Indias |
| dc.source.spa.fl_str_mv |
Energies |
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Universidad Tecnológica de Bolívar |
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Rajagopalan, Arul6d04d6b3-17a1-49be-a90b-6ea66be6d1c6Swaminathan, Dhivya968eaf87-2f22-4a9d-9bc7-920cdc7e276eAlharbi, Meshal35513de8-9d6f-4f6b-ae97-39fc59e32c9aSengan, Sudhakarcff77a4e-5ee2-406a-86fa-9b23fd7c9696Montoya, Oscar Danilo9fa8a75a-58fa-436d-a6e2-d80f718a4ea8El-Shafai, Walid447208d4-d332-422d-9d79-e78dda931f16. Fouda, Mostafa M0bd7be6b-cacc-49b4-ad5b-478473204bd4Aly, Moustafa H.b6fd079a-1fb2-45d7-bf78-4bf6697ca31d2023-07-21T20:49:54Z2023-07-21T20:49:54Z20222023https://hdl.handle.net/20.500.12585/1238910.3390/en15238889Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThe 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.18 páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2EnergiesModernized Planning of Smart Grid Based on Distributed Power Generations and Energy Storage Systems Using Soft Computing Methodsinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_2df8fbb1Placement;Active Distribution Network;Voltage StabilityLEMBCartagena de IndiasVita, 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/app112210692Mladenov, 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/en15020539Gao, 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.2021.3054620Zhang, Y., Srivastava, A. Voltage control strategy for energy storage system in sustainable distribution system operation (2021) Energies, 14 (4), art. no. 832. 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