Asignación de recursos para la recarga de vehículos eléctricos en estaciones de servicios basado en la respuesta a la demanda
##plugins.themes.bootstrap3.article.sidebar##
ISSN: 1680-8894
E-ISSN: 2219-6714
Sección
Artículos
Artículos
Esta obra está bajo licencia internacional Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0.
##plugins.themes.bootstrap3.article.main##
Enviado:
Dec 14, 2018
Publicado: Dec 14, 2018
Publicado: Dec 14, 2018
Resumen
La Respuesta a la Demanda (DR), dirigida a la carga de la red eléctrica ocasionada al incorporar Vehículos Eléctricos (EVs), es considerada de gran importancia debido a un alto impacto que provocan dichos vehículos a los sistemas eléctricos. El presente trabajo tiene como finalidad desarrollar asignación de recursos energéticos para la recarga de EVs en estaciones de servicio y así atenuar el impacto que los mismos generan, además de los distintos tipos de carga ante la red eléctrica con varios escenarios. Se plantea un modelo heurístico que se basa en la respuesta a la demanda por medio del algoritmo Húngaro, es decir, se consiguió la adecuada asignación de recursos energéticos para la carga de EVs.
Palabras clave
Baterías de Vehículos Eléctricos, Energías Renovables, Estaciones de recarga, Respuesta a la Demanda, Optimización, Vehículos Eléctricos.Descargas
La descarga de datos todavía no está disponible.
##plugins.themes.bootstrap3.article.details##
Cómo citar
Meza Cartagena, J., & García Torres, E. (2018). Asignación de recursos para la recarga de vehículos eléctricos en estaciones de servicios basado en la respuesta a la demanda. I+D Tecnológico, 14(2), 66-73. https://doi.org/10.33412/idt.v14.2.2075
Citas
(1) D. Paul, W. De Zhong, and S. K. Bose, “Demand Response in Data Centers Through Energy-Efficient Scheduling and Simple Incentivization,” IEEE Syst. J., vol. 11, no. 2, pp. 613–624, 2017.
(2) H. T. Haider, O. H. See, and W. Elmenreich, “A review of residential demand response of smart grid,” Renew. Sustain. Energy Rev., vol. 59, pp. 166–178, 2016.
(3) M. Muratori, B. A. Schuelke-Leech, and G. Rizzoni, “Role of residential demand response in modern electricity markets,” Renew. Sustain. Energy Rev., vol. 33, pp. 546–553, 2014.
(4) S. Nan, M. Zhou, and G. Li, “Optimal residential community demand response scheduling in smart grid,” Appl. Energy, vol. 210, pp. 1280–1289, 2018.
(5) J. Wang, H. Zhong, Z. Ma, Q. Xia, and C. Kang, “Review and prospect of integrated demand response in the multi-energy system,” Appl. Energy, vol. 202, pp. 772–782, 2017.
(6) I. Dusparic, A. Taylor, A. Marinescu, F. Golpayegani, and S. Clarke, “Residential demand response: Experimental evaluation and comparison of self-organizing techniques,” Renew. Sustain. Energy Rev., vol. 80, no. July, pp. 1528–1536, 2017.
(7) F. Ruelens, B. J. Claessens, S. Vandael, B. De Schutter, R. Babuska, and R. Belmans, “Residential Demand Response of Thermostatically Controlled Loads Using Batch Reinforcement Learning,” IEEE Trans. Smart Grid, pp. 1–11, 2016.
(8) J. Martínez-Lao, F. G. Montoya, M. G. Montoya, and F. Manzano-Agugliaro, “Electric vehicles in Spain: An overview of charging systems,” Renew. Sustain. Energy Rev., vol. 77, no. June, pp. 970–983, 2017.
(9) P. Nunes and M. C. Brito, “Displacing natural gas with electric vehicles for grid stabilization,” Energy, vol. 141, pp. 87–96, 2017.
(10) M. Liu, P. K. Phanivong, Y. Shi, and D. S. Callaway, “Decentralized Charging Control of Electric Vehicles in Residential Distribution Networks,” IEEE Trans. Control Syst. Technol., pp. 1–16, 2017.
(11) R. Figueiredo, P. Nunes, and M. C. Brito, “The feasibility of solar parking lots for electric vehicles," Energy, vol. 140, pp. 1182–1197, 2017.
(12) E. M. Garcia Torres, B. D. Benalcazar Lopez, and I. M. Idi Amin, “Analysis of the Voltage Profile by the Insertion of Electric Vehicles in the Distribution Network Considering Response to Demand,” 2017 Int. Conf. Inf. Syst. Comput. Sci., pp. 7–13, 2017.
(13) M. García, Torres, Edwin and I. Isaac, “Demand response systems for integrating energy storage batteries for residential users,” in Ecuador Technical Chapters Meeting (ETCM), IEEE, 2016.
(14) P. Moreno and E. M. Garcia Torres, “Respuesta a la Demanda para Smart Home Utilizando Procesos Estocásticos,” I+D Tecnológico, vol. 12, 2016.
(15) E. M. García Torres and Ì. Isaac, “Multi-objective optimization for the management of the response to the electrical demand in commercial users,” INCISCOS 2017 - Int. Conf. Inf. Syst. Comput. Sci., pp. 14–20, 2017.
(2) H. T. Haider, O. H. See, and W. Elmenreich, “A review of residential demand response of smart grid,” Renew. Sustain. Energy Rev., vol. 59, pp. 166–178, 2016.
(3) M. Muratori, B. A. Schuelke-Leech, and G. Rizzoni, “Role of residential demand response in modern electricity markets,” Renew. Sustain. Energy Rev., vol. 33, pp. 546–553, 2014.
(4) S. Nan, M. Zhou, and G. Li, “Optimal residential community demand response scheduling in smart grid,” Appl. Energy, vol. 210, pp. 1280–1289, 2018.
(5) J. Wang, H. Zhong, Z. Ma, Q. Xia, and C. Kang, “Review and prospect of integrated demand response in the multi-energy system,” Appl. Energy, vol. 202, pp. 772–782, 2017.
(6) I. Dusparic, A. Taylor, A. Marinescu, F. Golpayegani, and S. Clarke, “Residential demand response: Experimental evaluation and comparison of self-organizing techniques,” Renew. Sustain. Energy Rev., vol. 80, no. July, pp. 1528–1536, 2017.
(7) F. Ruelens, B. J. Claessens, S. Vandael, B. De Schutter, R. Babuska, and R. Belmans, “Residential Demand Response of Thermostatically Controlled Loads Using Batch Reinforcement Learning,” IEEE Trans. Smart Grid, pp. 1–11, 2016.
(8) J. Martínez-Lao, F. G. Montoya, M. G. Montoya, and F. Manzano-Agugliaro, “Electric vehicles in Spain: An overview of charging systems,” Renew. Sustain. Energy Rev., vol. 77, no. June, pp. 970–983, 2017.
(9) P. Nunes and M. C. Brito, “Displacing natural gas with electric vehicles for grid stabilization,” Energy, vol. 141, pp. 87–96, 2017.
(10) M. Liu, P. K. Phanivong, Y. Shi, and D. S. Callaway, “Decentralized Charging Control of Electric Vehicles in Residential Distribution Networks,” IEEE Trans. Control Syst. Technol., pp. 1–16, 2017.
(11) R. Figueiredo, P. Nunes, and M. C. Brito, “The feasibility of solar parking lots for electric vehicles," Energy, vol. 140, pp. 1182–1197, 2017.
(12) E. M. Garcia Torres, B. D. Benalcazar Lopez, and I. M. Idi Amin, “Analysis of the Voltage Profile by the Insertion of Electric Vehicles in the Distribution Network Considering Response to Demand,” 2017 Int. Conf. Inf. Syst. Comput. Sci., pp. 7–13, 2017.
(13) M. García, Torres, Edwin and I. Isaac, “Demand response systems for integrating energy storage batteries for residential users,” in Ecuador Technical Chapters Meeting (ETCM), IEEE, 2016.
(14) P. Moreno and E. M. Garcia Torres, “Respuesta a la Demanda para Smart Home Utilizando Procesos Estocásticos,” I+D Tecnológico, vol. 12, 2016.
(15) E. M. García Torres and Ì. Isaac, “Multi-objective optimization for the management of the response to the electrical demand in commercial users,” INCISCOS 2017 - Int. Conf. Inf. Syst. Comput. Sci., pp. 14–20, 2017.