Mostrar el registro sencillo del ítem
Optimal location and sizing of PV sources in DC networks for minimizing greenhouse emissions in diesel generators
| dc.contributor.author | Montoya, Oscar Danilo | |
| dc.contributor.author | Grisales-Noreña, Luis Fernando | |
| dc.contributor.author | Gil-González, Walter | |
| dc.contributor.author | Alcalá, Gerardo | |
| dc.contributor.author | Hernandez-Escobedo, Quetzalcoatl | |
| dc.coverage.spatial | Colombia | |
| dc.date.accessioned | 2020-09-10T21:22:52Z | |
| dc.date.available | 2020-09-10T21:22:52Z | |
| dc.date.issued | 2020-02-24 | |
| dc.date.submitted | 2020-09-07 | |
| dc.identifier.citation | Montoya, O.D.; Grisales-Noreña, L.F.; Gil-González, W.; Alcalá, G.; Hernandez-Escobedo, Q. Optimal Location and Sizing of PV Sources in DC Networks for Minimizing Greenhouse Emissions in Diesel Generators. Symmetry 2020, 12, 322. | spa |
| dc.identifier.issn | 2073-8994 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12585/9378 | |
| dc.description.abstract | This paper addresses the problem of the optimal location and sizing of photovoltaic (PV) sources in direct current (DC) electrical networks considering time-varying load and renewable generation curves. To represent this problem, a mixed-integer nonlinear programming (MINLP) model is developed. The main idea of including PV sources in the DC grid is minimizing the total greenhouse emissions produced by diesel generators in isolated areas. An artificial neural network is employed for short-term forecasting to deal with uncertainties in the PV power generation. The general algebraic modeling system (GAMS) package is employed to solve the MINLP model by using the CONOPT solver that works with mixed and integer variables. Numerical results demonstrate important reductions of harmful gas emissions to the atmosphere when PV sources are optimally integrated (size and location) to the DC grid. | spa |
| dc.format.extent | 14 páginas | |
| dc.format.mimetype | application/pdf | spa |
| dc.language.iso | eng | spa |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | * |
| dc.source | Symmetry 2020, 12(2), 322 | spa |
| dc.title | Optimal location and sizing of PV sources in DC networks for minimizing greenhouse emissions in diesel generators | spa |
| dcterms.bibliographicCitation | Blaabjerg, F.; Chen, Z.; Kjaer, S.B. Power electronics as efficient interface in dispersed power generation systems. IEEE Trans. Power Electron. 2004, 19, 1184–1194. | spa |
| dcterms.bibliographicCitation | Wandhare, R.G.; Agarwal, V. Novel Integration of a PV-Wind Energy System With Enhanced Efficiency. IEEE Trans. Power Electron. 2015, 30, 3638–3649 | spa |
| dcterms.bibliographicCitation | Montoya, O.D.; Gil-González, W.; Garces, A. Distributed energy resources integration in single-phase microgrids: An application of IDA-PBC and PI-PBC approaches. Int. J. Electr. Power Energy Syst. 2019, 112, 221–231. | spa |
| dcterms.bibliographicCitation | Gil-González,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. J. Energy Storage 2019, 21, 1–8. | spa |
| dcterms.bibliographicCitation | Grisales, L.F.; Montoya, O.D.; Grajales, A.; Hincapie, R.A.; Granada, M. Optimal Planning and Operation of Distribution Systems Considering Distributed Energy Resources and Automatic Reclosers. IEEE Lat. Am. Trans. 2018, 16, 126–134. | spa |
| dcterms.bibliographicCitation | Montoya, O.D.; Grajales, A.; Garces, A.; Castro, C.A. Distribution Systems Operation Considering Energy Storage Devices and Distributed Generation. IEEE Lat. Am. Trans. 2017, 15, 890–900. | spa |
| dcterms.bibliographicCitation | Di Noia, L.P.; Genduso, F.; Miceli, R.; Rizzo, R. Optimal Integration of Hybrid Supercapacitor and IPT System for a Free-Catenary Tramway. IEEE Trans. Ind. Appl. 2019, 55, 794–801. | spa |
| dcterms.bibliographicCitation | Jayasinghe, S.D.G.; Vilathgamuwa, D.M.; Madawala, U.K. A Dual Inverter-Based Supercapacitor Direct Integration Scheme for Wind Energy Conversion Systems. IEEE Trans. Ind. Appl. 2013, 49, 1023–1030. | spa |
| dcterms.bibliographicCitation | Montoya, O.D.; Garcés, A.; Serra, F.M. DERs integration in microgrids using VSCs via proportional feedback linearization control: Supercapacitors and distributed generators. J. Energy Storage 2018, 16, 250–258. | spa |
| dcterms.bibliographicCitation | Gil-González, W.; Montoya, O.D.; Garces, A. Control of a SMES for mitigating subsynchronous oscillations in power systems: A PBC-PI approach. J. Energy Storage 2018, 20, 163–172. | spa |
| dcterms.bibliographicCitation | Shen, L.; Cheng, Q.; Cheng, Y.; Wei, L.; Wang, Y. Hierarchical control of DC micro-grid for photovoltaic EV charging station based on flywheel and battery energy storage system. Electr. Power Syst. Res. 2020, 179, 106079. | spa |
| dcterms.bibliographicCitation | Huang, C.N.; Chen, Y.S. Design of magnetic flywheel control for performance improvement of fuel cells used in vehicles. Energy 2017, 118, 840–852. | spa |
| dcterms.bibliographicCitation | Murad, M.A.A.; Milano, F. Modeling and Simulation of PI-Controllers Limiters for the Dynamic Analysis of VSC-Based Devices. IEEE Trans. Power Syst. 2019, 34, 3921–3930. | spa |
| dcterms.bibliographicCitation | Schiffer, J.; Seel, T.; Raisch, J.; Sezi, T. Voltage Stability and Reactive Power Sharing in Inverter-Based Microgrids With Consensus-Based Distributed Voltage Control. IEEE Trans. Control Syst. Technol. 2016, 24, 96–109. | spa |
| dcterms.bibliographicCitation | Joung, K.W.; Kim, T.; Park, J. Decoupled Frequency and Voltage Control for Stand-Alone MicrogridWith High Renewable Penetration. IEEE Trans. Ind. Appl. 2019, 55, 122–133. | spa |
| dcterms.bibliographicCitation | Simpson-Porco, J.W.; Shafiee, Q.; Dörfler, F.; Vasquez, J.C.; Guerrero, J.M.; Bullo, F. Secondary Frequency and Voltage Control of Islanded Microgrids via Distributed Averaging. IEEE Trans. Ind. Electron. 2015, 62, 7025–7038. | spa |
| dcterms.bibliographicCitation | Garces, A. Uniqueness of the power flow solutions in low voltage direct current grids. Electr. Power Syst. Res. 2017, 151, 149–153. | spa |
| dcterms.bibliographicCitation | Montoya, O.D.; Gil-González, W.; Garces, A. Power flow approximation for DC networks with constant power loads via logarithmic transform of voltage magnitudes. Electr. Power Syst. Res. 2019, 175, 105887. | spa |
| dcterms.bibliographicCitation | Montoya, O.D.; Gil-González,W.; Garces, A. Optimal Power Flow on DC Microgrids: A Quadratic Convex Approximation. IEEE Trans. Circuits Syst. II 2019, 66, 1018–1022. | spa |
| dcterms.bibliographicCitation | Li, J.; Liu, F.; Wang, Z.; Low, S.H.; Mei, S. Optimal Power Flow in Stand-Alone DC Microgrids. IEEE Trans. Power Syst. 2018, 33, 5496–5506. | spa |
| dcterms.bibliographicCitation | Parhizi, S.; Lotfi, H.; Khodaei, A.; Bahramirad, S. State of the Art in Research on Microgrids: A Review. IEEE Access 2015, 3, 890–925. | spa |
| dcterms.bibliographicCitation | Montoya, O.D.; Gil-González, W.; Garces, A. Sequential quadratic programming models for solving the OPF problem in DC grids. Electr. Power Syst. Res. 2019, 169, 18–23. | spa |
| dcterms.bibliographicCitation | Montoya, O.D.; Gil-González,W.; Grisales-Noreña, L.F. Vortex Search Algorithm for Optimal Power Flow Analysis in DC Resistive Networks with CPLs. IEEE Trans. Circuits Syst. II 2019. | spa |
| dcterms.bibliographicCitation | Garcés, A. On the Convergence of Newton’s Method in Power Flow Studies for DC Microgrids. IEEE Trans. Power Syst. 2018, 33, 5770–5777. | spa |
| dcterms.bibliographicCitation | Montoya, O.D.; Garrido, V.M.; Gil-González,W.; Grisales-Noreña, L.F. Power Flow Analysis in DC Grids: Two Alternative Numerical Methods. IEEE Trans. Circuits Syst. II 2019, 66, 1865–1869. | spa |
| dcterms.bibliographicCitation | Yu, S.Y.; Kim, H.J.; Kim, J.H.; Han, B.M. SoC-Based Output Voltage Control for BESS with a Lithium-Ion Battery in a Stand-Alone DC Microgrid. Energies 2016, 9, 924. | spa |
| dcterms.bibliographicCitation | Robinson, S.; Papadopoulos, S.; Jadraque Gago, E.; Muneer, T. Feasibility Study of Integrating Renewable Energy Generation System in Sark Island to Reduce Energy Generation Cost and CO2 Emissions. Energies 2019, 12, 4722 | spa |
| dcterms.bibliographicCitation | Gil-González,W.; Montoya, O.D.; Garces, A. Modeling and control of a small hydro-power plant for a DC microgrid. Electr. Power Syst. Res. 2020, 180, 106104 | spa |
| dcterms.bibliographicCitation | Hassan, M.A.; Li, E.; Li, X.; Li, T.; Duan, C.; Chi, S. Adaptive Passivity-Based Control of dc–dc Buck Power Converter With Constant Power Load in DC Microgrid Systems. IEEE J. Emerg. Sel. Top. Power Electron. 2019, 7, 2029–2040. | spa |
| dcterms.bibliographicCitation | Shadmand, M.B.; Balog, R.S.; Abu-Rub, H. Model Predictive Control of PV Sources in a Smart DC Distribution System: Maximum Power Point Tracking and Droop Control. IEEE Trans. Energy Convers. 2014, 29, 913–921. | spa |
| dcterms.bibliographicCitation | Vafamand, N.; Khooban, M.H.; Dragiˇcevi´c, T.; Blaabjerg, F. Networked Fuzzy Predictive Control of Power Buffers for Dynamic Stabilization of DC Microgrids. IEEE Trans. Ind. Electron. 2019, 66, 1356–1362. | spa |
| dcterms.bibliographicCitation | Ghiasi, M.I.; Golkar, M.A.; Hajizadeh, A. Lyapunov Based-Distributed Fuzzy-Sliding Mode Control for Building Integrated-DC Microgrid With Plug-In Electric Vehicle. IEEE Access 2017, 5, 7746–7752. | spa |
| dcterms.bibliographicCitation | Mokhtar, M.; Marei, M.I.; El-Sattar, A.A. An Adaptive Droop Control Scheme for DC Microgrids Integrating Sliding Mode Voltage and Current Controlled Boost Converters. IEEE Trans. Smart Grid 2019, 10, 1685–1693. | spa |
| dcterms.bibliographicCitation | Liu, X.; Liu, Y.; Liu, J.; Xiang, Y.; Yuan, X. Optimal planning of AC-DC hybrid transmission and distributed energy resource system: Review and prospects. CSEE J. Power Energy Syst. 2019, 5, 409–422. | spa |
| dcterms.bibliographicCitation | Wogrin, S.; Gayme, D.F. Optimizing Storage Siting, Sizing, and Technology Portfolios in Transmission-Constrained Networks. IEEE Trans. Power Syst. 2015, 30, 3304–3313. | spa |
| dcterms.bibliographicCitation | Sachs, J.; Sawodny, O. A Two-Stage Model Predictive Control Strategy for Economic Diesel-PV-Battery Island Microgrid Operation in Rural Areas. IEEE Trans. Sustain. Energy 2016, 7, 903–913. | spa |
| dcterms.bibliographicCitation | Adefarati, T.; Bansal, R.C.; John Justo, J. Techno-economic analysis of a PV–wind–battery–diesel standalone power system in a remote area. J. Eng. 2017, 2017, 740–744. | spa |
| dcterms.bibliographicCitation | Moradi, M.; Abedini, M. A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems. Int. J. Electr. Power Energy Syst. 2012, 34, 66–74. | spa |
| dcterms.bibliographicCitation | Gandomkar, M.; Vakilian, M.; Ehsan, M. A Genetic–Based Tabu Search Algorithm for Optimal DG Allocation in Distribution Networks. Electr. Power Components Syst. 2005, 33, 1351–1362. | spa |
| dcterms.bibliographicCitation | Nekooei, K.; Farsangi, M.M.; Nezamabadi-Pour, H.; Lee, K.Y. An Improved Multi-Objective Harmony Search for Optimal Placement of DGs in Distribution Systems. IEEE Trans. Smart Grid 2013, 4, 557–567. | spa |
| dcterms.bibliographicCitation | Sultana, S.; Roy, P.K. Krill herd algorithm for optimal location of distributed generator in radial distribution system. Appl. Soft Comput. 2016, 40, 391–404. | spa |
| dcterms.bibliographicCitation | Grisales-Noreña, L.F.; Gonzalez Montoya, D.; Ramos-Paja, C.A. Optimal Sizing and Location of Distributed Generators Based on PBIL and PSO Techniques. Energies 2018, 11, 1018. | spa |
| dcterms.bibliographicCitation | Kaur, S.; Kumbhar, G.; Sharma, J. A MINLP technique for optimal placement of multiple DG units in distribution systems. Int. J. Electr. Power Energy Syst. 2014, 63, 609–617. | spa |
| dcterms.bibliographicCitation | Montoya, O.D.; Gil-González, W.; Grisales-Noreña, L. An exact MINLP model for optimal location and sizing of DGs in distribution networks: A general algebraic modeling system approach. Ain Shams Eng. J. 2019. | spa |
| dcterms.bibliographicCitation | Montoya, O.D.; Gil-González, W.; Grisales-Noreña, L. Relaxed convex model for optimal location and sizing of DGs in DC grids using sequential quadratic programming and random hyperplane approaches. Int. J. Electr. Power Energy Syst. 2020, 115, 105442. | spa |
| dcterms.bibliographicCitation | Montoya, O.D. A convex OPF approximation for selecting the best candidate nodes for optimal location of power sources on DC resistive networks. Eng. Sci. Technol. Int. J. 2019. | spa |
| dcterms.bibliographicCitation | Grisales-Noreña, L.F.; Garzon-Rivera, O.D.; Montoya, O.D.; Ramos-Paja, C.A. Hybrid Metaheuristic Optimization Methods for Optimal Location and Sizing DGs in DC Networks. In Workshop on Engineering Applications; Chapter Applied Computer Sciences in Engineering; Figueroa-García, J., Duarte-González, M., Jaramillo-Isaza, S., Orjuela-Cañon, A., Díaz-Gutierrez, Y., Eds.; Springer: Cham, Switzerland, 2019; Volume 1052, pp. 214–225. | spa |
| dcterms.bibliographicCitation | Montoya, O.D.; Garrido, V.M.; Grisales-Noreña, L.F.; Gil-González,W.; Garces, A.; Ramos-Paja, C.A. Optimal Location of DGs in DC Power Grids Using a MINLP Model Implemented in GAMS. In Proceedings of the 2018 IEEE 9th Power, Instrumentation and Measurement Meeting (EPIM), Salto, Uruguay, 14–16 November 2018; pp. 1–5. | spa |
| dcterms.bibliographicCitation | Maleki, A.; Pourfayaz, F.; Hafeznia, H.; Rosen, M.A. A novel framework for optimal photovoltaic size and location in remote areas using a hybrid method: A case study of eastern Iran. Energy Convers. Manag. 2017, 153, 129–143. | spa |
| dcterms.bibliographicCitation | Montoya, O.D.; Gil-González,W.; Grisales-Noreña, L.; Orozco-Henao, C.; Serra, F. Economic Dispatch of BESS and Renewable Generators in DC Microgrids Using Voltage-Dependent Load Models. Energies 2019, 12, 4494. | spa |
| dcterms.bibliographicCitation | Simpson-Porco, J.W.; Dörfler, F.; Bullo, F. On Resistive Networks of Constant-Power Devices. IEEE Trans. Circuits Syst. II 2015, 62, 811–815. | spa |
| dcterms.bibliographicCitation | Zhang, L. Artificial Neural Network Architecture Design for EEG Time Series Simulation Using Chaotic System. In Proceedings of the 2018 Joint 7th International Conference on Informatics, Electronics Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision Pattern Recognition (icIVPR), Kitakyushu, Japan, 25–29 June 2018; pp. 388–393. | spa |
| dcterms.bibliographicCitation | Du, Y.C.; Stephanus, A. Levenberg-Marquardt Neural Network Algorithm for Degree of Arteriovenous Fistula Stenosis Classification Using a Dual Optical Photoplethysmography Sensor. Sensors 2018, 18, 2322. | spa |
| dcterms.bibliographicCitation | Wilson, P.; Mantooth, H.A. Chapter 10—Model-Based Optimization Techniques. In Model-Based Engineering for Complex Electronic Systems; Wilson, P., Mantooth, H.A., Eds.; Newnes: Oxford, UK, 2013; pp. 347–367. | spa |
| dcterms.bibliographicCitation | Naghiloo, A.; Abbaspour, M.; Mohammadi-Ivatloo, B.; Bakhtari, K. GAMS based approach for optimal design and sizing of a pressure retarded osmosis power plant in Bahmanshir river of Iran. Renew. Sustain. Energy Rev. 2015, 52, 1559–1565. | spa |
| dcterms.bibliographicCitation | Montoya, O.D. Solving a Classical Optimization Problem Using GAMS Optimizer Package: Economic Dispatch Problem Implementation. Ingenieria y Ciencia 2017, 13, 39–63. | spa |
| dcterms.bibliographicCitation | GAMS Development Corp. GAMS Free Demo Version. Available online: https://www.gams.com/ download/ (accessed on 14 February 2020). | spa |
| datacite.rights | http://purl.org/coar/access_right/c_abf2 | spa |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | spa |
| dc.identifier.url | https://www.mdpi.com/2073-8994/12/2/322 | |
| dc.type.driver | info:eu-repo/semantics/article | spa |
| dc.type.hasversion | info:eu-repo/semantics/publishedVersion | spa |
| dc.identifier.doi | 10.3390/sym12020322 | |
| dc.subject.keywords | Artificial neural networks | spa |
| dc.subject.keywords | Diesel generation | spa |
| dc.subject.keywords | Direct current networks | spa |
| dc.subject.keywords | Greenhouse emissions | spa |
| dc.subject.keywords | Numerical optimization | spa |
| dc.subject.keywords | Mixed-integer nonlinear programming photovoltaic plants | spa |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
| dc.rights.cc | Atribución-NoComercial 4.0 Internacional | * |
| dc.identifier.instname | Universidad Tecnológica de Bolívar | spa |
| dc.identifier.reponame | Repositorio Universidad Tecnológica de Bolívar | spa |
| dc.publisher.place | Cartagena de Indias | spa |
| dc.type.spa | Artículo | spa |
| dc.audience | Investigadores | spa |
| oaire.resourcetype | http://purl.org/coar/resource_type/c_2df8fbb1 | spa |
Ficheros en el ítem
Este ítem aparece en la(s) siguiente(s) colección(ones)
-
Productos de investigación [1372]
http://creativecommons.org/licenses/by-nc/4.0/
Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.
