Model-based Control Approaches for Optimal Integration of a Hybrid Wind-diesel Power System in a Microgrid

Luis Ismael Minchala Avila, Adriana Vargas Martínez, Youmin Zhang, Luis Eduardo Garza Castañón, Eduardo Robinson Calle Ortiz, Julio César Viola

Abstract

This paper presents two model-based approaches for designing control strategies in order to integrate a diesel generator as frequency and voltage leader in an islanded microgrid configuration. The selected microgrid configuration is composed of a hybrid wind-diesel system with a battery storage system (BSS). A model predictive control (MPC) scheme and a model reference adaptive control (MRAC) scheme are selected for this task, due to its flexibility and capability for handling constraints and fault-tolerance, respectively, which is helpful for smart grid (SG) architectures to achieve reduced fuel consumption and with and enhanced reliability and integration of renewable energy sources (RES) into the electrical network. A constrained fuel consumption strategy has been implemented in the diesel engine generator (DEG) controller with the help of MPC strategy and fault-tolerance is achieved with MRAC. Different operating conditions of the microgrid were simulated: 1) diesel-only generation, 2) wind turbine generator (WTG) ignition, 3) sudden connection of 0.5 MW load, and 4) a 3-phase fault with duration of 0.5 seconds. Improved performance over a baseline controller, IEEE type 1 automatic voltage regulator (AVR), is achieved. Dynamic models of the network components are presented in details on design and implementation of the microgrid configuration in Matlab/Simulink.

References

  1. Abdal, F., Abbas, R., and Abdulsada, M. A. (2010). Simulation of wind-turbine speed control by matlab. International Journal of Computer and Electrical Engineering, 2(5):912-915.
  2. Abdin, E. and Xu, W. (2000). Control design and dynamic performance analysis of a wind turbine-induction generator unit. IEEE Transactions on Energy Conversion, 15(1):91-96.
  3. Astrom, K. and Wittenmark, B. (1995). Adaptive Control. Addison-Wesley Publishing Company, 2nd edition.
  4. Carter, R., Cruden, A., Hall, P., and Zaher, A. (2012). An improved lead acid battery pack model for use in power simulations of electric vehicles. IEEE Transactions on Energy Conversion, 27(1):21-28.
  5. Chiasson, J. and Vairamohan, B. (2005). Estimating the state of charge of a battery. IEEE Transactions on Control Systems Technology, 13(3):465-470.
  6. Fuchs, E. F. and Masoum, M. A. (2011). Analyses and designs related to renewable energy systems. In Power Conversion of Renewable Energy Systems, pages 557- 687. Springer US.
  7. Fusco, G. and Russo, M. (2008). Adaptive voltage regulator design for synchronous generator. IEEE Transactions on Energy Conversion, 23(3):946-956.
  8. Fusco, G. and Russo, M. (2012). Nonlinear control design for excitation controller and power system stabilizer. Control Engineering Practice, 19(3):243-251.
  9. Gentile, T. J. (2009). Smart grid a necessary component in the remaking of america. IEEE-USA Annual Meeting.
  10. Hiyama, T. (2011). Intelligent Automatic Generation Control. CRC-Press.
  11. Jiang, Z., Li, F., Qiao, W., Sun, H., Wan, H., Wang, J., Xia, Y., Xu, Z., and Zhang, P. (2009). A vision of smart transmission grids. pages 1-10.
  12. Jugo, J. (2002). Discretization of continuous time-delay systems. In Proceedings of the 15th IFAC World Congress, 2002, pages 117-122.
  13. Kassem, A. M. (2012). Robust voltage control of a stand alone wind energy conversion system based on functional model predictive approach. International Journal of Electrical Power and Energy Systems, 41:124- 132.
  14. Kassem, A. M. and Ali, M. Y. (2011). Robust control of an isolated hybrid winddiesel power system using linear quadratic gaussian approach. International Journal of Electrical Power and Energy Systems, 33:1092-1100.
  15. Kini, A. and Yaragatti, U. (2006). Modelling and simulation of a wind/diesel hybrid power system. In Proceedings of the IEEE International Conference on Industrial Technology, ICIT, pages 1670-1675.
  16. Kuang, B., Wang, Y., and Tan, Y. L. (2000). An h¥ controller design for diesel engine systems. In Proceedings of the International Conference on Power System Technology, volume 1, pages 61-66.
  17. Kumar, B., Mishra, S., Bhende, C., and Chauhan, M. (2008). Pi controller based frequency regulator for distributed generation. In Proceedings of the TENCON - IEEE Region 10th Conference, pages 1 -6.
  18. Lee, S.-H., Yim, J.-S., Lee, J.-H., and Sul, S.-K. (2008). Design of speed control loop of a variable speed diesel engine generator by electric governor. pages 1-5.
  19. Minchala, L., Garza, L., and Calle, E. (2012). An intelligent control approach for designing a low voltage dc breaker. Number 4, pages 163-166.
  20. Munoz-Aguilar, R., Doria-Cerezo, A., Fossas, E., and Cardoner, R. (2011). Sliding mode control of a standalone wound rotor synchronous generator. IEEE Transactions on Industrial Electronics, 58(10):4888- 4897.
  21. Nagrath, I. and Gopal, M. (2008). Control Systems Engineering. Anshan Ltd Press, United Kingdom., 5th edition.
  22. Schwaegerl, L., Tao, J.P.; Lopes, A., Madureira, P., Mancarella, A., Anastasiadis, N., Hatziargyriou, and Krkoleva, A. (2009). Report on the technical, social, economic, and environmental benefits provided by microgrids on power system operation.
  23. Vandoorn, T., Meersman, B., Degroote, L., Renders, B., and Vandevelde, L. (2011). A control strategy for islanded microgrids with dc-link voltage control. IEEE Transactions on Power Delivery, 26(2):703-713.
  24. Vechiu, I., Camblong, H., Tapia, G. B., and Dakyo, C. N. (2004). Dynamic simulation model of a hybrid power system: Performance analysis. 2004 European Wind Energy Conference.
  25. Wang, L. (2009). Model Predictive Control System Design and Implementation Using MATLAB. Springer Publishing Company, Incorporated, 1st edition.
  26. Zeng, L. and Hu, G.-D. (2010). Discretization of continuous-time systems with input delays. Acta Automatica Sinica, 36(10):1426-1431.
Download


Paper Citation


in Harvard Style

Minchala Avila L., Vargas Martínez A., Zhang Y., Eduardo Garza Castañón L., Robinson Calle Ortiz E. and César Viola J. (2013). Model-based Control Approaches for Optimal Integration of a Hybrid Wind-diesel Power System in a Microgrid . In Proceedings of the 2nd International Conference on Smart Grids and Green IT Systems - Volume 1: SMARTGREENS, ISBN 978-989-8565-55-6, pages 12-21. DOI: 10.5220/0004359400120021


in Bibtex Style

@conference{smartgreens13,
author={Luis Ismael Minchala Avila and Adriana Vargas Martínez and Youmin Zhang and Luis Eduardo Garza Castañón and Eduardo Robinson Calle Ortiz and Julio César Viola},
title={Model-based Control Approaches for Optimal Integration of a Hybrid Wind-diesel Power System in a Microgrid},
booktitle={Proceedings of the 2nd International Conference on Smart Grids and Green IT Systems - Volume 1: SMARTGREENS,},
year={2013},
pages={12-21},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004359400120021},
isbn={978-989-8565-55-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Smart Grids and Green IT Systems - Volume 1: SMARTGREENS,
TI - Model-based Control Approaches for Optimal Integration of a Hybrid Wind-diesel Power System in a Microgrid
SN - 978-989-8565-55-6
AU - Minchala Avila L.
AU - Vargas Martínez A.
AU - Zhang Y.
AU - Eduardo Garza Castañón L.
AU - Robinson Calle Ortiz E.
AU - César Viola J.
PY - 2013
SP - 12
EP - 21
DO - 10.5220/0004359400120021