Determination of the Voltage Stability Index in DC Networks with CPLs: A GAMS Implementation
This paper addresses the voltage collapse analysis in direct-current (DC) power grids via nonlinear optimization approach. The formulation of this problem corresponds to an optimization problem, where the objective function is the maximization of the loadability consumption at all the constant power...
- 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:20.500.12585/9175
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9175
- Palabra clave:
- Direct-current networks
General algebraic modeling system
Nonlinear optimization
Optimal power flow analysis
Voltage stability margin
Algebra
Convex optimization
DC power transmission
Electric load flow
Electric power transmission networks
Nonlinear programming
Algebraic modeling
Direct current
Non-linear optimization
Optimal power flows
Voltage stability margins
Voltage measurement
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Determination of the Voltage Stability Index in DC Networks with CPLs: A GAMS Implementation |
| title |
Determination of the Voltage Stability Index in DC Networks with CPLs: A GAMS Implementation |
| spellingShingle |
Determination of the Voltage Stability Index in DC Networks with CPLs: A GAMS Implementation Direct-current networks General algebraic modeling system Nonlinear optimization Optimal power flow analysis Voltage stability margin Algebra Convex optimization DC power transmission Electric load flow Electric power transmission networks Nonlinear programming Algebraic modeling Direct current Non-linear optimization Optimal power flows Voltage stability margins Voltage measurement |
| title_short |
Determination of the Voltage Stability Index in DC Networks with CPLs: A GAMS Implementation |
| title_full |
Determination of the Voltage Stability Index in DC Networks with CPLs: A GAMS Implementation |
| title_fullStr |
Determination of the Voltage Stability Index in DC Networks with CPLs: A GAMS Implementation |
| title_full_unstemmed |
Determination of the Voltage Stability Index in DC Networks with CPLs: A GAMS Implementation |
| title_sort |
Determination of the Voltage Stability Index in DC Networks with CPLs: A GAMS Implementation |
| 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 |
Direct-current networks General algebraic modeling system Nonlinear optimization Optimal power flow analysis Voltage stability margin Algebra Convex optimization DC power transmission Electric load flow Electric power transmission networks Nonlinear programming Algebraic modeling Direct current Non-linear optimization Optimal power flows Voltage stability margins Voltage measurement |
| topic |
Direct-current networks General algebraic modeling system Nonlinear optimization Optimal power flow analysis Voltage stability margin Algebra Convex optimization DC power transmission Electric load flow Electric power transmission networks Nonlinear programming Algebraic modeling Direct current Non-linear optimization Optimal power flows Voltage stability margins Voltage measurement |
| description |
This paper addresses the voltage collapse analysis in direct-current (DC) power grids via nonlinear optimization approach. The formulation of this problem corresponds to an optimization problem, where the objective function is the maximization of the loadability consumption at all the constant power loads, subject to the conventional power flow balance equations. To solve this nonlinear non-convex optimization problem a large-scale nonlinear optimization package known as General Algebraic Modeling System (GAMS) is employed. Different nonlinear solvers available in GAMS are used to confirm that the optimal solution has been reached. A small 4-node test system is used to illustrate the GAMS implementation. Finally, two test systems with 21 and 33 nodes respectively, are used for simulation purposes in order to confirm both the effectiveness and robustness of the nonlinear model, and the proposed GAMS solution methodology. © 2019, Springer Nature Switzerland AG. |
| publishDate |
2019 |
| dc.date.issued.none.fl_str_mv |
2019 |
| dc.date.accessioned.none.fl_str_mv |
2020-03-26T16:33:08Z |
| dc.date.available.none.fl_str_mv |
2020-03-26T16:33:08Z |
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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. 552-564 |
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9783030310189 |
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18650929 |
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https://hdl.handle.net/20.500.12585/9175 |
| dc.identifier.doi.none.fl_str_mv |
10.1007/978-3-030-31019-6_46 |
| dc.identifier.instname.none.fl_str_mv |
Universidad Tecnológica de Bolívar |
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Repositorio UTB |
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57210212368 56919564100 55791991200 |
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Communications in Computer and Information Science; Vol. 1052, pp. 552-564 9783030310189 18650929 10.1007/978-3-030-31019-6_46 Universidad Tecnológica de Bolívar Repositorio UTB 57210212368 56919564100 55791991200 |
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https://hdl.handle.net/20.500.12585/9175 |
| 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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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.Amin W.T.Montoya O.D.Grisales-Noreña L.F.2020-03-26T16:33:08Z2020-03-26T16:33:08Z2019Communications in Computer and Information Science; Vol. 1052, pp. 552-564978303031018918650929https://hdl.handle.net/20.500.12585/917510.1007/978-3-030-31019-6_46Universidad Tecnológica de BolívarRepositorio UTB572102123685691956410055791991200This paper addresses the voltage collapse analysis in direct-current (DC) power grids via nonlinear optimization approach. The formulation of this problem corresponds to an optimization problem, where the objective function is the maximization of the loadability consumption at all the constant power loads, subject to the conventional power flow balance equations. To solve this nonlinear non-convex optimization problem a large-scale nonlinear optimization package known as General Algebraic Modeling System (GAMS) is employed. Different nonlinear solvers available in GAMS are used to confirm that the optimal solution has been reached. A small 4-node test system is used to illustrate the GAMS implementation. Finally, two test systems with 21 and 33 nodes respectively, are used for simulation purposes in order to confirm both the effectiveness and robustness of the nonlinear model, and the proposed GAMS solution methodology. © 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-s2.0-85075642857&doi=10.1007%2f978-3-030-31019-6_46&partnerID=40&md5=f8f593d3e5e1016ef067f60414ba465e6th Workshop on Engineering Applications, WEA 2019Determination of the Voltage Stability Index in DC Networks with CPLs: A GAMS Implementationinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionConferenciahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fDirect-current networksGeneral algebraic modeling systemNonlinear optimizationOptimal power flow analysisVoltage stability marginAlgebraConvex optimizationDC power transmissionElectric load flowElectric power transmission networksNonlinear programmingAlgebraic modelingDirect currentNon-linear optimizationOptimal power flowsVoltage stability marginsVoltage measurement16 October 2019 through 18 October 2019Parhizi, S., Lotfi, H., Khodaei, A., Bahramirad, S., State of the art in research on microgrids: A review (2015) IEEE Access, 3, pp. 890-925Georgilakis, P.S., Hatziargyriou, N.D., Optimal distributed generation placement in power distribution networks: Models, methods, and future research (2013) IEEE Trans. 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II, 66 (6), pp. 1018-1022Justo, J.J., Mwasilu, F., Lee, J., Jung, J.-W., AC-microgrids versus DC-microgrids with distributed energy resources: A review (2013) Renew. Sustain. Energy Rev., 24, pp. 387-405Nasirian, V., Moayedi, S., Davoudi, A., Lewis, F.L., Distributed cooperative control of DC microgrids (2015) IEEE Trans. Power Electron., 30 (4), pp. 2288-2303Papadimitriou, C., Zountouridou, E., Hatziargyriou, N., Review of hierarchical control in DC microgrids (2015) Electr. Power Syst. Res., 122, pp. 159-167. , http://www.sciencedirect.com/science/article/pii/S0378779615000073Velasquez, O.S., Montoya, O.D., Garrido, V.M., Grisales-Noreña, L.F., Optimal power flow in direct-current power grids via black hole optimization (2019) AEEE Adv. Electr. Electron. Eng., 17 (1), pp. 24-32. , http://advances.utc.sk/index.php/AEEE/article/view/3069Garcés, A., On the convergence of newton’s method in power flow studies for DC microgrids (2018) IEEE Trans. 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II, 66 (4), pp. 642-646Vatani, M., Solati Alkaran, D., Sanjari, M.J., Gharehpetian, G.B., Multiple distributed generation units allocation in distribution network for loss reduction based on a combination of analytical and genetic algorithm methods (2016) IET Gener. Transm. Distrib., 10 (1), pp. 66-72Yuan, H., Li, F., Wei, Y., Zhu, J., Novel linearized power flow and linearized OPF models for active distribution networks with application in distribution LMP (2018) IEEE Trans. Smart Grid, 9 (1), pp. 438-448Salomonsson, D., Soder, L., Sannino, A., Protection of low-voltage DC microgrids (2009) IEEE Trans. Power Del., 24 (3), pp. 1045-1053Montoya, O.D., Gil-González, W., Grisales-Noreña, L.F., Optimal power dispatch of DGs in DC power grids: A hybrid gauss-seidel-genetic-algorithm methodology for solving the OPF problem (2018) WSEAS Trans. 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Mag., 4 (2), pp. 29-36http://purl.org/coar/resource_type/c_c94fTHUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/9175/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/9175oai:repositorio.utb.edu.co:20.500.12585/91752021-02-02 15:29:18.002Repositorio Institucional UTBrepositorioutb@utb.edu.co |