Locating distributed generation units in radial systems
A brief context on distributed generation (DG) is given as well as the methodologies employed in solving problems regarding their optimal location and dimensioning in electrical power systems that sets the theoretical foundation of this project. The development of a Python-based analytical algorithm...
- Autores:
-
Arias Barragan, Luis Alejandro
González Palomino, Gabriel
Rivas Trujillo, Edwin
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2017
- Institución:
- Universidad Autónoma de Occidente
- Repositorio:
- RED: Repositorio Educativo Digital UAO
- Idioma:
- eng
- OAI Identifier:
- oai:red.uao.edu.co:10614/11177
- Acceso en línea:
- http://hdl.handle.net/10614/11177
https://doi.org/10.12988/ces.2017.79112
- Palabra clave:
- Producción de energía eléctrica
Electric power production
Distributed generation
Optimization
Radial systems
- Rights
- openAccess
- License
- Derechos Reservados - Universidad Autónoma de Occidente
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Locating distributed generation units in radial systems |
| title |
Locating distributed generation units in radial systems |
| spellingShingle |
Locating distributed generation units in radial systems Producción de energía eléctrica Electric power production Distributed generation Optimization Radial systems |
| title_short |
Locating distributed generation units in radial systems |
| title_full |
Locating distributed generation units in radial systems |
| title_fullStr |
Locating distributed generation units in radial systems |
| title_full_unstemmed |
Locating distributed generation units in radial systems |
| title_sort |
Locating distributed generation units in radial systems |
| dc.creator.fl_str_mv |
Arias Barragan, Luis Alejandro González Palomino, Gabriel Rivas Trujillo, Edwin |
| dc.contributor.author.none.fl_str_mv |
Arias Barragan, Luis Alejandro González Palomino, Gabriel Rivas Trujillo, Edwin |
| dc.subject.armarc.spa.fl_str_mv |
Producción de energía eléctrica |
| topic |
Producción de energía eléctrica Electric power production Distributed generation Optimization Radial systems |
| dc.subject.armarc.eng.fl_str_mv |
Electric power production |
| dc.subject.proposal.eng.fl_str_mv |
Distributed generation Optimization Radial systems |
| description |
A brief context on distributed generation (DG) is given as well as the methodologies employed in solving problems regarding their optimal location and dimensioning in electrical power systems that sets the theoretical foundation of this project. The development of a Python-based analytical algorithm is shown which interacts with the DigSilent software for the optimal management of distributed generation units in terms of their dimension and location in radial systems. The proposed algorithm is based on the formulation in the analytical method of location and dimensioning of DG units in distribution systems [1] with a 33-node IEEE radial system used a case study. The implementation of the algorithm justifies that the optimal location of DG units in electrical radial systems improves the voltage profiles and the reduction of total losses |
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2017 |
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2017 |
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2019-10-08T16:51:42Z |
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2019-10-08T16:51:42Z |
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Artículo de revista |
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http://hdl.handle.net/10614/11177 |
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https://doi.org/10.12988/ces.2017.79112 |
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1314-7641 (en línea) 1313-6569 (impresa) |
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http://hdl.handle.net/10614/11177 https://doi.org/10.12988/ces.2017.79112 |
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eng |
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eng |
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1046 |
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21 |
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Arias B., Luis A., González P., Gabriel, Rivas T., Edwin .2017. Locating distributed generation units in radial systems. Hikari. Contemporary Engineering Sciences. 10 (21),1035-1046 p.https://doi.org/10.12988/ces.2017.79112 |
| dc.relation.ispartofjournal.eng.fl_str_mv |
Contemporary engineering sciences |
| dc.relation.references.none.fl_str_mv |
A. M. Abd-el-Motaleb and S. K. Bekdach, Optimal sizing of distributed generation considering uncertainties in a hybrid power system, Int. J. Electr. Power Energy Syst., 82 (2016), 179–188. https://doi.org/10.1016/j.ijepes.2016.03.023 A. Bagheri, H. Monsef and H. Lesani, Integrated distribution network expansion planning incorporating distributed generation considering uncertainties, reliability, and operational conditions, Int. J. Electr. Power Energy Syst., 73 (2015), 56–70. https://doi.org/10.1016/j.ijepes.2015.03.010 P. Chiradeja and A. Ngaopitakkul, The impacts of electrical power losses due to distributed generation integration to distribution system, 2013 Int. Conf. Electr. Mach. Syst. ICEMS, (2013), 1330–1333. https://doi.org/10.1109/icems.2013.6713271 S. Elsaiah, M. Benidris and J. Mitra, An analytical method for placement and sizing of distributed generation on distribution systems, 2014 Clemson Univ. Power Syst. Conf., 7 (2016), 1–7. https://doi.org/10.1109/psc.2014.6808097 R. H. Lasseter, Microgrids and Distributed Generation, J. Energy Eng., 133 (2007), no. 3, 144–149. https://doi.org/10.1061/(asce)0733-9402(2007)133:3(144) A. Rujula, J. Amada and J. Bernal-Agustin, Definitions for Distributed Generation: A Revision, International Conf. Renew. Energy Power Qual., (2005), 16–18 H. Tazvinga, X. Xia and B. Zhu, Optimal energy management strategy for distributed energy resources, Energy Procedia, 61 (2014), 1331–1334. https://doi.org/10.1016/j.egypro.2014.11.1093 Y. Yuan, Z. Wei, G. Sun, Y. Sun and D. Wang, A real-time optimal generation cost control method for virtual power plant, Neurocomputing, 143 (2014), 322–330. https://doi.org/10.1016/j.neucom.2014.05.060 |
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Derechos Reservados - Universidad Autónoma de Occidente |
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Arias Barragan, Luis Alejandro07b272daf29e91840dfad25ae0b2acd1González Palomino, Gabriel3d52c20631e564b1f043775aa5dbc9f3Rivas Trujillo, Edwin2987996f05710ea86a333e9eb1fe921bUniversidad Autónoma de Occidente. Calle 25 115-85. Km 2 vía Cali-Jamundí2019-10-08T16:51:42Z2019-10-08T16:51:42Z20171314-7641 (en línea)1313-6569 (impresa)http://hdl.handle.net/10614/11177https://doi.org/10.12988/ces.2017.79112A brief context on distributed generation (DG) is given as well as the methodologies employed in solving problems regarding their optimal location and dimensioning in electrical power systems that sets the theoretical foundation of this project. The development of a Python-based analytical algorithm is shown which interacts with the DigSilent software for the optimal management of distributed generation units in terms of their dimension and location in radial systems. The proposed algorithm is based on the formulation in the analytical method of location and dimensioning of DG units in distribution systems [1] with a 33-node IEEE radial system used a case study. The implementation of the algorithm justifies that the optimal location of DG units in electrical radial systems improves the voltage profiles and the reduction of total lossesapplication/pdf12 páginasengHikariDerechos Reservados - Universidad Autónoma de Occidentehttps://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)http://purl.org/coar/access_right/c_abf2Locating distributed generation units in radial systemsArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTREFinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Producción de energía eléctricaElectric power productionDistributed generationOptimizationRadial systems104621103510Arias B., Luis A., González P., Gabriel, Rivas T., Edwin .2017. Locating distributed generation units in radial systems. Hikari. Contemporary Engineering Sciences. 10 (21),1035-1046 p.https://doi.org/10.12988/ces.2017.79112Contemporary engineering sciencesA. M. Abd-el-Motaleb and S. K. Bekdach, Optimal sizing of distributed generation considering uncertainties in a hybrid power system, Int. J. Electr. Power Energy Syst., 82 (2016), 179–188. https://doi.org/10.1016/j.ijepes.2016.03.023A. Bagheri, H. Monsef and H. Lesani, Integrated distribution network expansion planning incorporating distributed generation considering uncertainties, reliability, and operational conditions, Int. J. Electr. Power Energy Syst., 73 (2015), 56–70. https://doi.org/10.1016/j.ijepes.2015.03.010P. Chiradeja and A. Ngaopitakkul, The impacts of electrical power losses due to distributed generation integration to distribution system, 2013 Int. Conf. Electr. Mach. Syst. ICEMS, (2013), 1330–1333. https://doi.org/10.1109/icems.2013.6713271S. Elsaiah, M. Benidris and J. Mitra, An analytical method for placement and sizing of distributed generation on distribution systems, 2014 Clemson Univ. Power Syst. Conf., 7 (2016), 1–7. https://doi.org/10.1109/psc.2014.6808097R. H. Lasseter, Microgrids and Distributed Generation, J. Energy Eng., 133 (2007), no. 3, 144–149. https://doi.org/10.1061/(asce)0733-9402(2007)133:3(144)A. Rujula, J. Amada and J. Bernal-Agustin, Definitions for Distributed Generation: A Revision, International Conf. Renew. Energy Power Qual., (2005), 16–18H. Tazvinga, X. Xia and B. Zhu, Optimal energy management strategy for distributed energy resources, Energy Procedia, 61 (2014), 1331–1334. https://doi.org/10.1016/j.egypro.2014.11.1093Y. Yuan, Z. Wei, G. Sun, Y. Sun and D. Wang, A real-time optimal generation cost control method for virtual power plant, Neurocomputing, 143 (2014), 322–330. https://doi.org/10.1016/j.neucom.2014.05.060PublicationCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://dspace7-uao.metacatalogo.com/bitstreams/b4e9f699-a182-40a1-b508-b1e802248f00/download4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81665https://dspace7-uao.metacatalogo.com/bitstreams/db494a7f-21c9-462a-b04e-e523381f0ded/download20b5ba22b1117f71589c7318baa2c560MD53ORIGINAL00344_Locating distributed generation units in radial systems.pdf00344_Locating distributed generation units in radial systems.pdfArchivo texto completo del artículoapplication/pdf429856https://dspace7-uao.metacatalogo.com/bitstreams/2bba6b65-95e5-445e-8c48-8cb8e51e785c/download686667d6ca9a89fbd4c63e9e51796326MD54TEXT00344_Locating distributed generation units in radial systems.pdf.txt00344_Locating distributed generation units in radial systems.pdf.txtExtracted texttext/plain21985https://dspace7-uao.metacatalogo.com/bitstreams/4002b777-2392-4bdb-b3a7-3a864af95d81/download29e9165149a228c714340969e4f84509MD55THUMBNAIL00344_Locating distributed generation units in radial systems.pdf.jpg00344_Locating distributed generation units in radial systems.pdf.jpgGenerated Thumbnailimage/jpeg10200https://dspace7-uao.metacatalogo.com/bitstreams/f18d4ecc-8229-46c4-9ab1-f6a872498192/downloada99c1b4542b17a599ef46841b92e24eeMD5610614/11177oai:dspace7-uao.metacatalogo.com:10614/111772024-01-19 16:09:37.429https://creativecommons.org/licenses/by-nc-nd/4.0/Derechos Reservados - Universidad Autónoma de Occidenteopen.accesshttps://dspace7-uao.metacatalogo.comRepositorio UAOrepositorio@uao.edu.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 |