Técnicas de predicción Inteligente para el control del MPPT en un sistema fotovoltaico.

Autores/as

  • Jhon Lizarazo Servicio Nacional de Aprendizaje – SENA

Palabras clave:

Sistema fotovoltaico, control del MPPT, Predicción Inteligente

Resumen

En el trabajo se realiza la identificación de técnicas de predicción utilizadas en el control del MPPT para sistemas fotovoltaicos.

Citas

Aguilar, P. V., Espinoza-Trejo, D. R., Saavedra, J. L., De Angelo, C. H., & Taheri, S. (2019). Nonlinear Control of a Boost DC/DC Converter for Photovoltaic MPPT Systems Using a TMS320F28379D Microcontroller. Proceedings of 2019 the 7th International Conference on Smart Energy Grid Engineering, SEGE 2019, 156–161. https://doi.org/10.1109/SEGE.2019.8859951.

Bagci, F. S., Liu, Y. C., & Kim, K. A. (2019). Low-power photovoltaic energy harvesting with parallel differential power processing using a SEPIC. Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC, 2019-March, 2008–2014. https://doi.org/10.1109/APEC.2019.8722071.

Bahri, H., Oualifi, K., Aboulfatah, M., Guisser, M., Adekanle, O. S., & El Malah, M. (2019). Nonlinear observer-based control for three phase grid connected photovoltaic system. 2019 International Conference on Wireless Technologies, Embedded and Intelligent Systems, WITS 2019, 1–6. https://doi.org/10.1109/WITS.2019.8723685.

Bouselham, L., Hajji, M., Hajji, B., Mehdi, A. El, & Hajji, H. (2016). Hardware implementation of fuzzy logic MPPT controller on a FPGA platform. Proceedings of 2015 IEEE International Renewable and Sustainable Energy Conference, IRSEC 2015, (1). https://doi.org/10.1109/IRSEC.2015.7455090.

Capareda, S. C., & Capareda, S. C. (2019). Introduction to Renewable Energy. Introduction to Renewable Energy Conversions, 1–28. https://doi.org/10.1201/9780429199103-1.

Castro, A. O. (2014). Modelado y simulación de un panel fotovoltaico empleando técnicas de inteligencia artificial. Ingeniería Energética, XXXV(3), 225–233.

COLCIENCIAS - Gobierno de Colombia. (2018). Libro verde 2030 – Colciencias. Retrieved from http://libroverde2030.com/#.WyA1lJOBcRM.whatsapp.

Gómez Ramírez, J., Murcia Murcia, J. D., & Cabeza Rojas, I. (2017). La energía solar fotovoltaica en Colombia: potenciales, antecedentes y perspectivas. Universidad Santo Tomás, 19. Retrieved from http://repository.usta.edu.co/handle/11634/10312.

Gonzalez, W. B. (2019). Battery Monitoring and Energy Forecasting for an Off-Grid Solar Photovoltaic Installation. 2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA), 697–702. https://doi.org/10.1109/RoboMech.2019.8704728.

Hala, P., & El, J. (2019). Recapitulation and comparative study for Photovoltaic Maximum Power Point Tracking techniques in particular sensor quality. 2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE), (2), 1–6.

Harrag, A., & Messalti, S. (2019). IC-based variable step size neuro-fuzzy MPPT Improving PV system performances. Energy Procedia, 157, 362–374. https://doi.org/10.1016/j.egypro.2018.11.201.

Hussain, A., Ieee, S., Sher, H. A., & Ieee, M. (2019). Revised Perturb and Observe Approach For Maximum Power Point Tracking Of Photovoltaic Module Using Finite Control Set Model Predictive Control. 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), 962–967.

Ideam. (2005). Atlas Radiación Solar. Atlas de Radiación Solar de Colombia, Primera, 133.

Inverters, G. P., & Hammoud, I. (2019). Computationally Efficient Model Predictive Direct Power Control with Online Finite Set Model Inductance Estimation Technique for. 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 1–6.

Ferrin,C. & Magdalena, X. (2013). Sistema de extracción automática de parámetros morfológicos de la huella plantar mediante técnicas de visión por computador en un sistema embebido. Revista colombiana de tecnologías de avanzada, ISSN: 1692-7257, 1(23), pp 80-86.

J Guzmán-Luna, ID Torres., (2017), Propuesta de un generador de aplicaciones educativas basadas en televisión digital usando arquitectura de cómputo en la nube. Revista Colombiana de Tecnologías de Avanzada ISSN: 1692-7257.

Karami, N., Moubayedb, N., & Outbibc, R. (2017). General review and classification of different MPPT Techniques, 68(September 2016), 1–18. https://doi.org/10.1016/j.rser.2016.09.132.

Khursheed, M., Faisal, M., Khan, N., Ali, G., & Khan, A. K. (2019). A Review of Estimating Solar Photovoltaic Cell Parameters. 2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (ICoMET), 1–6.

Kumar, V. N., & Panda, G. (2018). FPGA Implementation of Power Management Algorithm for Wind Energy Storage System with Kalman Filter MPPT Technique. Proceedings of the IEEE International Conference on VLSI Design, 2018-Janua, 449–450. https://doi.org/10.1109/VLSID.2018.107.

Lachtar, S., & Bouraiou, A. (2019). Smooth Sliding Mode-Based MPPT Algorithm for Photovoltaic Applications, 253–258.

Luta, D. N., & Raji, A. K. (2019). Comparing fuzzy rule-based MPPT techniques for fuel cell stack applications. Energy Procedia, 156(September 2018), 177–182. https://doi.org/10.1016/j.egypro.2018.11.124.

Malik, M. (2019). Designing a Novel ANN Optimized Converter for Photovoltaic Solar System. 2019 International Conference on Automation, Computational and Technology Management (ICACTM), 52–57.

Márquez, L. E., Abdo, Y. N., & Ángulo, F. J. (2015). Prototipo de control de acceso a aulas y registro automático de asistencia. Revista colombiana de Tecnologías Avanzadas, Vol 2, No. 26, 41-47.

Necaibia, S., Samira, M., Labar, H., Necaibia, A., & Castronuovo, E. D. (2019). Enhanced auto-scaling incremental conductance MPPT method , implemented on low-cost microcontroller and SEPIC converter. Solar Energy, 180(January), 152–168. https://doi.org/10.1016/j.solener.2019.01.028.

Negi, S., Maity, A., Patra, A., & Sharad, M. (2019). Adaptive Fractional Open Circuit Voltage Method for Maximum Power Point Tracking in a Photovoltaic Panel. 2019 32nd International Conference on VLSI Design and 2019 18th International Conference on Embedded Systems (VLSID), 482–487. https://doi.org/10.1109/VLSID.2019.00101.

ONU. (2019). Convención Marco sobre el Cambio Climático 2009, 60566, 1–48.

Qazi, R. A. (2019). Implementation of an Efficient MPPT Algorithm for Photovoltaic System. 2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (ICoMET), 1–7.

Rekik, H. K. (2019). Grid-connected photovoltaic panel via an inverter. 2019 19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), 423–428.

T Velásquez, E Espinel, G Guerrero (2016). Estrategias pedagógicas en el aula de clase. Revista Colombiana de Tecnologías de Avanzada, ISSN: 1692-7257.

Triki, Y., Bechouche, A., Seddiki, H., Abdeslam, D. O., & Member, S. (2019). ADALINE Based MPPT With Indirect Control Mode for Photovoltaic Systems. 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), 2183–2188.

Unidad de Planeación Minero Energética. Ministerio de Minas y Energía. Colombia. (2012). Integración de las energías renovables no convencionales en Colombia Integración de las energías en Colombia.

Yousefi, M., Kianpoor, N., Hajizadeh, A., & Soltani, M. (2019). Smart Energy Management System for Residential Homes Regarding Uncertainties of Photovoltaic Array and Plug-in Electric Vehicle. 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), 2201–2206.

Número

Sección

Articulos