Optimal power flow solution in direct current grids using Sine-Cosine algorithm
In the next years, Colombian power system will have the connection of distributed generators and constant power loads; Therefore, it is necessary to propose the analysis methods that allow establishing the minimum requirements that have to be satisfied for the power system to guarantee an optimal po...
- 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:20.500.12585/9231
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9231
- Palabra clave:
- Acoustic generators
Distributed power generation
Electric power transmission networks
Genetic algorithms
MATLAB
Nonlinear programming
Continuous genetic algorithms
Direct current distributions
Meta-heuristic approach
Non-linear optimization
Optimal power flow problem
Optimization algorithms
Power loss minimizations
Successive approximations
Electric load flow
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Optimal power flow solution in direct current grids using Sine-Cosine algorithm |
| title |
Optimal power flow solution in direct current grids using Sine-Cosine algorithm |
| spellingShingle |
Optimal power flow solution in direct current grids using Sine-Cosine algorithm Acoustic generators Distributed power generation Electric power transmission networks Genetic algorithms MATLAB Nonlinear programming Continuous genetic algorithms Direct current distributions Meta-heuristic approach Non-linear optimization Optimal power flow problem Optimization algorithms Power loss minimizations Successive approximations Electric load flow |
| title_short |
Optimal power flow solution in direct current grids using Sine-Cosine algorithm |
| title_full |
Optimal power flow solution in direct current grids using Sine-Cosine algorithm |
| title_fullStr |
Optimal power flow solution in direct current grids using Sine-Cosine algorithm |
| title_full_unstemmed |
Optimal power flow solution in direct current grids using Sine-Cosine algorithm |
| title_sort |
Optimal power flow solution in direct current grids using Sine-Cosine algorithm |
| dc.contributor.editor.none.fl_str_mv |
Suarez E.G. Diaz B.Z. Nino E.D.V. |
| dc.subject.keywords.none.fl_str_mv |
Acoustic generators Distributed power generation Electric power transmission networks Genetic algorithms MATLAB Nonlinear programming Continuous genetic algorithms Direct current distributions Meta-heuristic approach Non-linear optimization Optimal power flow problem Optimization algorithms Power loss minimizations Successive approximations Electric load flow |
| topic |
Acoustic generators Distributed power generation Electric power transmission networks Genetic algorithms MATLAB Nonlinear programming Continuous genetic algorithms Direct current distributions Meta-heuristic approach Non-linear optimization Optimal power flow problem Optimization algorithms Power loss minimizations Successive approximations Electric load flow |
| description |
In the next years, Colombian power system will have the connection of distributed generators and constant power loads; Therefore, it is necessary to propose the analysis methods that allow establishing the minimum requirements that have to be satisfied for the power system to guarantee an optimal power flow in order to preserve safe and reliable operation of it. For this purpose, in this paper presents an optimal power flow in direct current resistive grids with constant power loads and distributed generators. The optimal power flow problem is formulated as a master-slave optimization algorithm. The master stage covers the dispatching of all the distributed generators by using the Sine-Cosine algorithm. In the slave stage an efficient power flow method based on successive approximations is employed to determine the voltage variables and evaluate the objective function of the problem, which corresponds to the power loss minimization. A direct current distribution network composed by 21 nodes is used as test case by comparing its numerical performance with nonlinear optimization packages and two metaheuristic approaches named black-hole optimization and continuous genetic algorithm. All the simulations are conducted via MATLAB software. © Published under licence by IOP Publishing Ltd. |
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2019 |
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2019 |
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2020-03-26T16:41:23Z |
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2020-03-26T16:41:23Z |
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Conferencia |
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Giraldo J.A., Montoya O.D., Grisales-Noreña L.F., Gil-González W. y Holguín M. (2019) Optimal power flow solution in direct current grids using Sine-Cosine algorithm. Journal of Physics: Conference Series; Vol. 1403, Núm. 1 |
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17426588 |
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https://hdl.handle.net/20.500.12585/9231 |
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10.1088/1742-6596/1403/1/012009 |
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Universidad Tecnológica de Bolívar |
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Repositorio UTB |
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Giraldo J.A., Montoya O.D., Grisales-Noreña L.F., Gil-González W. y Holguín M. (2019) Optimal power flow solution in direct current grids using Sine-Cosine algorithm. Journal of Physics: Conference Series; Vol. 1403, Núm. 1 17426588 10.1088/1742-6596/1403/1/012009 Universidad Tecnológica de Bolívar Repositorio UTB 57212454925 56919564100 55791991200 57191493648 57212444429 |
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https://hdl.handle.net/20.500.12585/9231 |
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eng |
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eng |
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20 August 2019 through 21 August 2019 |
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info:eu-repo/semantics/openAccess |
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Atribución-NoComercial 4.0 Internacional |
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Recurso electrónico |
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Institute of Physics Publishing |
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Institute of Physics Publishing |
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Suarez E.G.Diaz B.Z.Nino E.D.V.Giraldo J.A.Montoya O.D.Grisales-Noreña L.F.Gil-González W.Holguín M.2020-03-26T16:41:23Z2020-03-26T16:41:23Z2019Giraldo J.A., Montoya O.D., Grisales-Noreña L.F., Gil-González W. y Holguín M. (2019) Optimal power flow solution in direct current grids using Sine-Cosine algorithm. Journal of Physics: Conference Series; Vol. 1403, Núm. 117426588https://hdl.handle.net/20.500.12585/923110.1088/1742-6596/1403/1/012009Universidad Tecnológica de BolívarRepositorio UTB5721245492556919564100557919912005719149364857212444429In the next years, Colombian power system will have the connection of distributed generators and constant power loads; Therefore, it is necessary to propose the analysis methods that allow establishing the minimum requirements that have to be satisfied for the power system to guarantee an optimal power flow in order to preserve safe and reliable operation of it. For this purpose, in this paper presents an optimal power flow in direct current resistive grids with constant power loads and distributed generators. The optimal power flow problem is formulated as a master-slave optimization algorithm. The master stage covers the dispatching of all the distributed generators by using the Sine-Cosine algorithm. In the slave stage an efficient power flow method based on successive approximations is employed to determine the voltage variables and evaluate the objective function of the problem, which corresponds to the power loss minimization. A direct current distribution network composed by 21 nodes is used as test case by comparing its numerical performance with nonlinear optimization packages and two metaheuristic approaches named black-hole optimization and continuous genetic algorithm. All the simulations are conducted via MATLAB software. © Published under licence by IOP Publishing Ltd.Universidad Tecnológica de Pereira, UTP: C2018P020 Department of Science, Information Technology and Innovation, Queensland Government, DSITI: 727-2015, ColcienciasThis work was supported in part by the Administrative Department of Science, Technology and Innovation of Colombia (Colciencias) through the national scholarship program under Grant 727-2015 and in part by the Universidad Tecnológica de Bolívar under Project C2018P020.Recurso electrónicoapplication/pdfengInstitute of Physics Publishinghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076688523&doi=10.1088%2f1742-6596%2f1403%2f1%2f012009&partnerID=40&md5=ed7b9caa6292c8ee9f4f9aa31f3ef4ebScopus2-s2.0-850766885231st Workshop on Modeling and Simulation for Science and Engineering, WMSSE 2019Optimal power flow solution in direct current grids using Sine-Cosine algorithminfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionConferenciahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fAcoustic generatorsDistributed power generationElectric power transmission networksGenetic algorithmsMATLABNonlinear programmingContinuous genetic algorithmsDirect current distributionsMeta-heuristic approachNon-linear optimizationOptimal power flow problemOptimization algorithmsPower loss minimizationsSuccessive approximationsElectric load flow20 August 2019 through 21 August 2019Parhizi, S., Lotfi, H., Khodaei, A., Bahramirad, S., State of the art in research on microgrids: A review (2015) IEEE Access, 3, p. 890Montoya, O.D., Grisales-Norena, L.F., Gonzalez-Montoya, D., Ramos-Paja, C.A., Garces, A., Linear power flow formulation for low-voltage DC power grids (2018) Electr. Power Syst. Res., 163, p. 375Garces, A., Uniqueness of the power flow solutions in low voltage direct current grids (2017) Electr. Power Syst. Res., 151, p. 149Banerjee, B., Weaver, W.W., Generalized geometric control manifolds of power converters in a DC microgrid (2014) IEEE Trans. Energy Convers., 29 (4), p. 904Francés, A., Asensi, R., García, O., Prieto, R., Uceda, J., Modeling electronic power converters in smart DC microgrids-An overview (2018) IEEE Trans. Smart Grid, 9 (6), p. 6274Montoya, O.D., Garrido, V.M., Gil-González, W., Grisales-Noreña, L.F., Power flow analysis in DC grids: Two alternative numerical methods (2019) IEEE Trans. Circuits Syst. II, 66 (11), p. 1865Li, J., Liu, F., Wang, Z., Low, S.H., Mei, S., Optimal power flow in stand-alone DC microgrids (2018) IEEE Trans. Power Syst., 33 (5), p. 5496Bahrami, S., Therrien, S., Wong, V.W.S., Jatskevich, J., Semidefinite relaxation of optimal power flow for AC-DC grids (2017) IEEE Trans. Power Syst., 32 (1), p. 289Baradar, M., Hesamzadeh, M.R., Ghandhari, M., Second-order cone programming for optimal power flow in VSC-type AC-DC grids (2013) IEEE Trans. Power Syst., 28 (4), p. 4282Montoya, O.D., Gil-González, W., Garces, A., Sequential quadratic programming models for solving the OPF problem in DC grids (2019) Electr. Power Syst. Res., 169, p. 18Gil-Gonzólez, W., Montoya, O.D., Holguín, E., Garces, A., Grisales-Noreña, L.F., Economic dispatch of energy storage systems in dc microgrids employing a semidefinite programming model (2019) Journal of Energy Storage, 21, p. 1Montoya, O.D., Gil-González, W., Garces, A., Optimal power flow on DC microgrids: A quadratic convex approximation (2019) IEEE Trans. Circuits Syst. II, 66 (6), p. 1018Montoya, 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 Transactions on Power Systems, 13, p. 335Velasquez, O.S., Montoya, O.D., Garrido Arevalo, V.M., Grisales-Noreña, L.F., Optimal power flow in direct-current power grids via black hole optimization (2019) Advances in Electrical and Electronic Engineering, 17 (1), p. 24Abdel-Fattah, A., Ragab, A., El-Sehiemy, Hany, M., Hasanien, Optimal power flow solution in power systems using a novel Sine-Cosine algorithm (2018) Int. J. Electr. Power Energy Syst., 99, p. 331Montoya, O.D., Gil-González, W., Garces, A., Power flow approximation for DC networks with constant power loads via logarithmic transform of voltage magnitudes (2019) Electr. Power Syst. Res., 175Montoya, O.D., Garrido, V.M., Grisales-Noreña, L.F., Gil-González, W., Garces, A., Ramos-Paja, C.A., (2018) 9th Power, Instrumentation and Measurement Meeting (EPIM)http://purl.org/coar/resource_type/c_c94fORIGINALdoi1010881742659614031012009.pdfapplication/pdf545777https://repositorio.utb.edu.co/bitstream/20.500.12585/9231/1/doi1010881742659614031012009.pdf8d2e2cee5cb61221901d19ae856c547dMD51TEXTdoi1010881742659614031012009.pdf.txtdoi1010881742659614031012009.pdf.txtExtracted texttext/plain18609https://repositorio.utb.edu.co/bitstream/20.500.12585/9231/4/doi1010881742659614031012009.pdf.txtdea34d85ec3df87b63699ae8bbae2d99MD54THUMBNAILdoi1010881742659614031012009.pdf.jpgdoi1010881742659614031012009.pdf.jpgGenerated Thumbnailimage/jpeg27827https://repositorio.utb.edu.co/bitstream/20.500.12585/9231/5/doi1010881742659614031012009.pdf.jpgee7f4818f227b2a0537a94c3b87d2814MD5520.500.12585/9231oai:repositorio.utb.edu.co:20.500.12585/92312020-10-23 05:15:28.019Repositorio Institucional UTBrepositorioutb@utb.edu.co |