An exact MINLP model for optimal location and sizing of DGs in distribution networks: A general algebraic modeling system approach
This paper addresses the classical problem of optimal location and sizing of distributed generators (DGs) in radial distribution networks by presenting a mixed-integer nonlinear programming (MINLP) model. To solve such model, we employ the General Algebraic Modeling System (GAMS) in conjunction with...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2020-06-01
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| Series: | Ain Shams Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447919301200 |
| _version_ | 1818907111292141568 |
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| author | Oscar Danilo Montoya Walter Gil-González L.F. Grisales-Noreña |
| author_facet | Oscar Danilo Montoya Walter Gil-González L.F. Grisales-Noreña |
| author_sort | Oscar Danilo Montoya |
| collection | DOAJ |
| description | This paper addresses the classical problem of optimal location and sizing of distributed generators (DGs) in radial distribution networks by presenting a mixed-integer nonlinear programming (MINLP) model. To solve such model, we employ the General Algebraic Modeling System (GAMS) in conjunction with the BONMIN solver, presenting its characteristics in a tutorial style. To operate all the DGs, we assume they are dispatched with a unity power factor. Test systems with 33 and 69 buses are employed to validate the proposed solution methodology by comparing its results with multiple approaches previously reported in the specialized literature. A 27-node test system is also used for locating photovoltaic (PV) sources considering the power capacity of the Caribbean region in Colombia during a typical sunny day. Numerical results confirm the efficiency and accuracy of the MINLP model and its solution is validated through the GAMS package. |
| first_indexed | 2024-12-19T21:49:55Z |
| format | Article |
| id | doaj.art-42bfe142ac0d4eddb62cbf3ce3d0b1de |
| institution | Directory Open Access Journal |
| issn | 2090-4479 |
| language | English |
| last_indexed | 2024-12-19T21:49:55Z |
| publishDate | 2020-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ain Shams Engineering Journal |
| spelling | doaj.art-42bfe142ac0d4eddb62cbf3ce3d0b1de2022-12-21T20:04:26ZengElsevierAin Shams Engineering Journal2090-44792020-06-01112409418An exact MINLP model for optimal location and sizing of DGs in distribution networks: A general algebraic modeling system approachOscar Danilo Montoya0Walter Gil-González1L.F. Grisales-Noreña2Programa de Ingeniería Eléctrica e Ingeniería Electrónica, Universidad Tecnológica de Bolívar, Km 1 vía Turbaco, Cartagena, Colombia; Corresponding author.Universidad Tecnológica de Pereira, AA: 97, 660003 Pereira, ColombiaInstituto Tecnológico Metropolitano, 050012 Medellín, ColombiaThis paper addresses the classical problem of optimal location and sizing of distributed generators (DGs) in radial distribution networks by presenting a mixed-integer nonlinear programming (MINLP) model. To solve such model, we employ the General Algebraic Modeling System (GAMS) in conjunction with the BONMIN solver, presenting its characteristics in a tutorial style. To operate all the DGs, we assume they are dispatched with a unity power factor. Test systems with 33 and 69 buses are employed to validate the proposed solution methodology by comparing its results with multiple approaches previously reported in the specialized literature. A 27-node test system is also used for locating photovoltaic (PV) sources considering the power capacity of the Caribbean region in Colombia during a typical sunny day. Numerical results confirm the efficiency and accuracy of the MINLP model and its solution is validated through the GAMS package.http://www.sciencedirect.com/science/article/pii/S2090447919301200Distributed generationDistribution systemsGeneral algebraic modeling systemMixed-integer nonlinear programmingOptimal location and sizing of distributed generation |
| spellingShingle | Oscar Danilo Montoya Walter Gil-González L.F. Grisales-Noreña An exact MINLP model for optimal location and sizing of DGs in distribution networks: A general algebraic modeling system approach Ain Shams Engineering Journal Distributed generation Distribution systems General algebraic modeling system Mixed-integer nonlinear programming Optimal location and sizing of distributed generation |
| title | An exact MINLP model for optimal location and sizing of DGs in distribution networks: A general algebraic modeling system approach |
| title_full | An exact MINLP model for optimal location and sizing of DGs in distribution networks: A general algebraic modeling system approach |
| title_fullStr | An exact MINLP model for optimal location and sizing of DGs in distribution networks: A general algebraic modeling system approach |
| title_full_unstemmed | An exact MINLP model for optimal location and sizing of DGs in distribution networks: A general algebraic modeling system approach |
| title_short | An exact MINLP model for optimal location and sizing of DGs in distribution networks: A general algebraic modeling system approach |
| title_sort | exact minlp model for optimal location and sizing of dgs in distribution networks a general algebraic modeling system approach |
| topic | Distributed generation Distribution systems General algebraic modeling system Mixed-integer nonlinear programming Optimal location and sizing of distributed generation |
| url | http://www.sciencedirect.com/science/article/pii/S2090447919301200 |
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