Vortex Search Algorithm for Optimal Sizing of Distributed Generators in AC Distribution Networks with Radial Topology
This paper proposes a vortex search algorithm (VSA) optimization for optimal dimensioning of distributed generators (DGs), in radial alternating current (AC) distribution networks. The VSA corresponds to a metaheuristic optimization technique that works in the continuous domain, to solve nonlinear,...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9182
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9182
- Palabra clave:
- Distributed generation
Electrical distribution networks
Metaheuristic optimization
Optimal power flow
Vortex search algorithm
AC generators
Distributed power generation
Electric impedance measurement
Electric load flow
Learning algorithms
MATLAB
Vortex flow
Distributed generator (DGs)
Distributed generators
Electrical distribution networks
Large-scale optimization
Meta-heuristic optimization techniques
Meta-heuristic optimizations
Optimal power flows
Search Algorithms
Optimization
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Vortex Search Algorithm for Optimal Sizing of Distributed Generators in AC Distribution Networks with Radial Topology |
| title |
Vortex Search Algorithm for Optimal Sizing of Distributed Generators in AC Distribution Networks with Radial Topology |
| spellingShingle |
Vortex Search Algorithm for Optimal Sizing of Distributed Generators in AC Distribution Networks with Radial Topology Distributed generation Electrical distribution networks Metaheuristic optimization Optimal power flow Vortex search algorithm AC generators Distributed power generation Electric impedance measurement Electric load flow Learning algorithms MATLAB Vortex flow Distributed generator (DGs) Distributed generators Electrical distribution networks Large-scale optimization Meta-heuristic optimization techniques Meta-heuristic optimizations Optimal power flows Search Algorithms Optimization |
| title_short |
Vortex Search Algorithm for Optimal Sizing of Distributed Generators in AC Distribution Networks with Radial Topology |
| title_full |
Vortex Search Algorithm for Optimal Sizing of Distributed Generators in AC Distribution Networks with Radial Topology |
| title_fullStr |
Vortex Search Algorithm for Optimal Sizing of Distributed Generators in AC Distribution Networks with Radial Topology |
| title_full_unstemmed |
Vortex Search Algorithm for Optimal Sizing of Distributed Generators in AC Distribution Networks with Radial Topology |
| title_sort |
Vortex Search Algorithm for Optimal Sizing of Distributed Generators in AC Distribution Networks with Radial Topology |
| dc.contributor.editor.none.fl_str_mv |
Figueroa-Garcia J.C. Duarte-Gonzalez M. Jaramillo-Isaza S. Orjuela-Canon A.D. Diaz-Gutierrez Y. |
| dc.subject.keywords.none.fl_str_mv |
Distributed generation Electrical distribution networks Metaheuristic optimization Optimal power flow Vortex search algorithm AC generators Distributed power generation Electric impedance measurement Electric load flow Learning algorithms MATLAB Vortex flow Distributed generator (DGs) Distributed generators Electrical distribution networks Large-scale optimization Meta-heuristic optimization techniques Meta-heuristic optimizations Optimal power flows Search Algorithms Optimization |
| topic |
Distributed generation Electrical distribution networks Metaheuristic optimization Optimal power flow Vortex search algorithm AC generators Distributed power generation Electric impedance measurement Electric load flow Learning algorithms MATLAB Vortex flow Distributed generator (DGs) Distributed generators Electrical distribution networks Large-scale optimization Meta-heuristic optimization techniques Meta-heuristic optimizations Optimal power flows Search Algorithms Optimization |
| description |
This paper proposes a vortex search algorithm (VSA) optimization for optimal dimensioning of distributed generators (DGs), in radial alternating current (AC) distribution networks. The VSA corresponds to a metaheuristic optimization technique that works in the continuous domain, to solve nonlinear, non-convex, large scale optimization problems. Here, this technique is used to determine the optimal power generation capacity of the DGs from the top-down analysis. From the bottom-up, a conventional backward/forward power flow is employed for determining the voltage behavior and calculate the power losses of the network, for each power output combination in the DGs. Numerical results demonstrate that the proposed approach is efficient and robust for reducing power losses on AC grids by optimally sizing the capacity the DGs, compared with other approaches found on literature reports. All the simulations were conducted using the MATLAB software. © 2019, Springer Nature Switzerland AG. |
| publishDate |
2019 |
| dc.date.issued.none.fl_str_mv |
2019 |
| dc.date.accessioned.none.fl_str_mv |
2020-03-26T16:33:09Z |
| dc.date.available.none.fl_str_mv |
2020-03-26T16:33:09Z |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_c94f |
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info:eu-repo/semantics/conferenceObject |
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info:eu-repo/semantics/publishedVersion |
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Conferencia |
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publishedVersion |
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Communications in Computer and Information Science; Vol. 1052, pp. 235-249 |
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9783030310189 |
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18650929 |
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https://hdl.handle.net/20.500.12585/9182 |
| dc.identifier.doi.none.fl_str_mv |
10.1007/978-3-030-31019-6_21 |
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Universidad Tecnológica de Bolívar |
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Repositorio UTB |
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56919564100 55791991200 57210212368 50361825100 55609096600 |
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Communications in Computer and Information Science; Vol. 1052, pp. 235-249 9783030310189 18650929 10.1007/978-3-030-31019-6_21 Universidad Tecnológica de Bolívar Repositorio UTB 56919564100 55791991200 57210212368 50361825100 55609096600 |
| url |
https://hdl.handle.net/20.500.12585/9182 |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.conferencedate.none.fl_str_mv |
16 October 2019 through 18 October 2019 |
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http://purl.org/coar/access_right/c_16ec |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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info:eu-repo/semantics/restrictedAccess |
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Atribución-NoComercial 4.0 Internacional |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ Atribución-NoComercial 4.0 Internacional http://purl.org/coar/access_right/c_16ec |
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restrictedAccess |
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Recurso electrónico |
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application/pdf |
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Springer |
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Springer |
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Universidad Tecnológica de Bolívar |
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6th Workshop on Engineering Applications, WEA 2019 |
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Figueroa-Garcia J.C.Duarte-Gonzalez M.Jaramillo-Isaza S.Orjuela-Canon A.D.Diaz-Gutierrez Y.Montoya O.D.Grisales-Noreña L.F.Amin W.T.Rojas L.A.Campillo Jiménez, Javier Eduardo2020-03-26T16:33:09Z2020-03-26T16:33:09Z2019Communications in Computer and Information Science; Vol. 1052, pp. 235-249978303031018918650929https://hdl.handle.net/20.500.12585/918210.1007/978-3-030-31019-6_21Universidad Tecnológica de BolívarRepositorio UTB5691956410055791991200572102123685036182510055609096600This paper proposes a vortex search algorithm (VSA) optimization for optimal dimensioning of distributed generators (DGs), in radial alternating current (AC) distribution networks. The VSA corresponds to a metaheuristic optimization technique that works in the continuous domain, to solve nonlinear, non-convex, large scale optimization problems. Here, this technique is used to determine the optimal power generation capacity of the DGs from the top-down analysis. From the bottom-up, a conventional backward/forward power flow is employed for determining the voltage behavior and calculate the power losses of the network, for each power output combination in the DGs. Numerical results demonstrate that the proposed approach is efficient and robust for reducing power losses on AC grids by optimally sizing the capacity the DGs, compared with other approaches found on literature reports. All the simulations were conducted using the MATLAB software. © 2019, Springer Nature Switzerland AG.Recurso electrónicoapplication/pdfengSpringerhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_16echttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85075700587&doi=10.1007%2f978-3-030-31019-6_21&partnerID=40&md5=ccad52d423b76820f673105c5dc8055d6th Workshop on Engineering Applications, WEA 2019Vortex Search Algorithm for Optimal Sizing of Distributed Generators in AC Distribution Networks with Radial Topologyinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionConferenciahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fDistributed generationElectrical distribution networksMetaheuristic optimizationOptimal power flowVortex search algorithmAC generatorsDistributed power generationElectric impedance measurementElectric load flowLearning algorithmsMATLABVortex flowDistributed generator (DGs)Distributed generatorsElectrical distribution networksLarge-scale optimizationMeta-heuristic optimization techniquesMeta-heuristic optimizationsOptimal power flowsSearch AlgorithmsOptimization16 October 2019 through 18 October 2019Blaabjerg, F., Kjaer, S.B., Power electronics as efficient interface in dispersed power generation systems (2004) IEEE Trans. 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Power Energy Syst., 24 (2), pp. 97-102Montoya, O.D., Gil, W.J., Garces, A., Optimal Power Flow for radial and mesh grids using semidefinite programming (2017) Tecno Logicas, 20 (40), pp. 29-42Ramli, M.A.M., Bouchekara, H.R.E.H., Estimation of solar radiation on PV panel surface with optimum tilt angle using vortex search algorithm (2018) IET Renew. Power Gener., 12 (10), pp. 1138-1145http://purl.org/coar/resource_type/c_c94fTHUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/9182/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/9182oai:repositorio.utb.edu.co:20.500.12585/91822023-05-25 14:59:13.916Repositorio Institucional UTBrepositorioutb@utb.edu.co |