Implementación de un módulo para el control y gestión del almacenamiento de energía en una microrred eléctrica

Nicolás Hernández Díaz; Aldo Pardo Garcia; Edgar Nelson Sánchez Camperos; Carlos J. Vega

doi:10.24054/rcta.v1i37.1258

Implementation of a module for control and management of energy storage in a in an electric microrred

Authors

Nicolás Hernández Díaz Universidad de Pamplona https://orcid.org/0000-0001-9130-7769
Aldo Pardo Garcia Universidad de Pamplona https://orcid.org/0000-0003-2040-9420
Edgar Nelson Sánchez Camperos CINVESTAV Unidad Guadalajara
Carlos J. Vega CINVESTAV Unidad Guadalajara

DOI:

https://doi.org/10.24054/rcta.v1i37.1258

Keywords:

Converter, control and management, charge and discharge of batteries

Abstract

Systems for energy storage management are a world-wide boom. Currently there are various types of batteries as well aselectronic circuits to control the charge and discharge of batteries, this varies according to the type and electrical requirements of the application; The “Buck-Boost” CD-CD converters that are commercially available, require two different controllers, this is because the system parameters change for each mode of operation, refer to the inductance and capacitance. The implementation of a prototype is proposed, which consists of a power conversion module with a single controller to carry out the process ofstoring electrical energy in a battery bank.

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References

Acevedo Meza, H., Mendoza García, J. L., & Sepúlveda Mora, S. (2018). Estrategias de control MPPT aplicadas en un convertidor DC/DC tipo boost para sistemas fotovoltaicos. Revista Colombiana de Tecnologías de Avanzada (RCTA), 2(30). https://doi.org/10.24054/16927257.v30.n30.2017.2751

Alanis, A. Y., Sánchez, E. N., & Loukianov, A. G. (2007). Discrete-time backstepping induction motor control using a sensorless recurrent neural observer. Proceedings of the 46th IEEE Conference on Decision and Control, 6112–6117. https://doi.org/10.1109/CDC.2007.4434164

Brown, R. G., & Hwang, P. Y. C. (1997). Introduction to random signals and applied Kalman filtering: With MATLAB exercises and solutions. Retrieved from https://books.google.com.co/books?id=De9SAAAAMAAJ

Cheng, K.-H., Hsu, C.-F., Lin, C.-M., Lee, T.-T., & Li, C. (2007). Fuzzy–neural sliding-mode control for DC–DC converters using asymmetric Gaussian membership functions. IEEE Transactions on Industrial Electronics, 54(3), 1528–1536. https://doi.org/10.1109/TIE.2007.894717

García López, T. B., Sánchez Camperos, E. N., & Ruiz Cruz, R. (2018). Neural control applied to the charge and discharge of battery bank. CINVESTAV Guadalajara.

Texas Instruments. (s. f.). LAUNCHXL-F28069M overview.

Labcenter. (2018). Proteus 8 Professional v8.8 SP0.

Loza-López, M. J., Loukianov, A. G., Sánchez, E. N., Ruiz-Cruz, R., & Sánchez-Torres, J. D. (2015). On-line optimization of the power supplied in a microgrid prototype. 2015 IEEE First International Smart Cities Conference (ISC2), 1–6. https://doi.org/10.1109/ISC2.2015.7366227

Modabbernia, M. R. (2013). An improved state space average model of buck DC–DC converter with all of the system uncertainties. International Journal on Electrical Engineering and Informatics, 5(1), 81–94. https://doi.org/10.15676/ijeei.2013.5.1.8

Ofoli, A. R., & Rubaai, A. (2006). Real-time implementation of a fuzzy logic controller for switch-mode power-stage DC–DC converters. IEEE Transactions on Industry Applications, 42(6), 1367–1374. https://doi.org/10.1109/TIA.2006.882669

Rashid, M. H. (2011). Power electronics handbook: Devices, circuits, and applications. Butterworth-Heinemann.

Sánchez, E. N., Alanis, A. Y., & Chen, G. (2004). Recurrent neural networks trained with Kalman filtering for discrete chaos reconstruction. Proceedings of the Asian-Pacific Workshop on Chaos Control and Synchronization.

Sánchez, E., Ornelas-Téllez, F., & Safari, O. M. C. (s. f.). Discrete-time inverse optimal control for nonlinear systems.

Sillero, A. A. C., Nava, N. V., Gutiérrez, C. V. H., Nava, J. V., & López, J. V. (2018). Revisión de métodos para la estimación de los estados de carga y salud de una batería. Pistas Educativas, 39(128). Retrieved from http://www.itcelaya.edu.mx/ojs/index.php/pistas/article/view/1195

Dassault Systèmes. (2018). SOLIDWORKS.

Dassault Systèmes. (2019). 3D ContentCentral.

C. S. T., M. M. O., J. C. E., & W. J. P. H. (2013). Modelo de simulación con pérdidas y estrategia de control PID para el convertidor buck. Revista Colombiana de Tecnologías de Avanzada (RCTA), 2(22). https://doi.org/10.24054/16927257.v22.n22.2013.403

The MathWorks, Inc. (2017). MATLAB R2017b.

Vasca, F., & Iannelli, L. (2012). Dynamics and control of switched electronic systems: Advanced perspectives for modeling, simulation and control of power converters. Springer.