Adaptive and predictive controllers applied to onshore wind energy conversion system

This paper presents a simulation of onshore energy conversion system connected to the electric grid and under an event-based supervisor control based on deterministic version of a finite state machine. The onshore energy conversion system is composed by a variable speed wind turbine, a mechanical transmission system described by a two-mass drive train, a gearbox, a doubly fed induction generator rotor and by a two-level converter. First, mathematical models of a variable speed wind turbine with pitch control are studied, followed by the study of different controller types such as adaptive controllers and predictive controllers. The study of an event-based supervisor based on finite state machines is also studied. The control and supervision strategy proposed for the onshore energy conversion system is based on a hierarchical structure with two levels, execution level where the adaptive and predictive controllers are included, and the supervision level where the event-based supervisor is included. The objective is to control the electric output power around the reference power and also to analyze the operational states according to the wind speed. The studied mathematical models are integrated into computer simulations for the onshore energy conversion system and the obtained numerical results allow for the performance assessment of the system connected to the electric grid. A comparison of the onshore energy conversion system performance without or with the supervisor is carried out to access the influence of the control and supervision strategy on the performance.

[1]  Kiran Siraj,et al.  Modeling and control of a doubly fed induction generator for grid integrated wind turbine , 2014, 2014 16th International Power Electronics and Motion Control Conference and Exposition.

[2]  Houria Siguerdidjane,et al.  Pitch and Torque strategy for Variable Speed Wind Turbines for Power Regulation , 2006 .

[3]  Ming Cheng,et al.  Pitch angle control for variable speed wind turbines , 2008, 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies.

[4]  Xianzhong Chen,et al.  Supervisory Predictive Control of Standalone Wind/Solar Energy Generation Systems , 2011, IEEE Transactions on Control Systems Technology.

[5]  A. Pintea,et al.  Discrete-time LQG control with disturbance rejection for variable speed wind turbines , 2012, 2012 1st International Conference on Systems and Computer Science (ICSCS).

[6]  Silvio Simani,et al.  Data-driven and adaptive control applications to a wind turbine benchmark model , 2013 .

[7]  Christos G. Cassandras,et al.  Introduction to Discrete Event Systems , 1999, The Kluwer International Series on Discrete Event Dynamic Systems.

[8]  Joao P. S. Catalao,et al.  Wind turbines equipped with fractional‐order controllers: Stress on the mechanical drive train due to a converter control malfunction , 2011 .

[9]  Eric C. Kerrigan,et al.  Constrained Control Using Model Predictive Control , 2007 .

[10]  M.E.H. Benbouzid,et al.  Sliding Mode Power Control of Variable Speed Wind Energy Conversion Systems , 2008, 2007 IEEE International Electric Machines & Drives Conference.

[11]  Mohamed Abid,et al.  A Fuzzy-PI control to extract an optimal power from wind turbine , 2013 .

[12]  Rui Melício,et al.  Doubly Fed Induction Generator Systems For Variable Speed Wind Turbine , 2005 .

[13]  Constantine Garcia-Sanz,et al.  Wind Energy Systems: Control Engineering Design , 2012 .

[14]  R. Melicio,et al.  Two-level and multilevel converters for wind energy systems: A comparative study , 2008, 2008 13th International Power Electronics and Motion Control Conference.

[15]  R. Melicio,et al.  Modeling and Simulation of Wind Energy Systems with Matrix and Multilevel Power Converters , 2009, IEEE Latin America Transactions.

[16]  Jason Gu,et al.  Torque and pitch angle control for variable speed wind turbines in all operating regimes , 2011, 2011 10th International Conference on Environment and Electrical Engineering.

[17]  Francisco Jurado,et al.  Supervisory control system for DFIG wind turbine with energy storage system based on battery , 2011, 2011 International Conference on Power Engineering, Energy and Electrical Drives.

[18]  Wenxian Yang,et al.  Wind turbine condition monitoring and reliability analysis by SCADA information , 2011, 2011 Second International Conference on Mechanic Automation and Control Engineering.

[19]  C. Viveiros,et al.  Application of a discrete adaptive LQG and fuzzy control design to a wind turbine benchmark model , 2013, 2013 International Conference on Renewable Energy Research and Applications (ICRERA).

[20]  Mauricio Zapateiro,et al.  Power control design for variable-speed wind turbines , 2012 .

[21]  Joao P. S. Catalao,et al.  Modeling, control and simulation of full-power converter wind turbines equipped with permanent magnet synchronous generator , 2010 .

[22]  Fouad Slaoui-Hasnaoui,et al.  Wind Turbine Condition Monitoring: State-of-the-Art Review, New Trends, and Future Challenges , 2014 .

[23]  Víctor Manuel Fernandes Mendes,et al.  Supervisory control of a variable speed wind turbine with doubly fed induction generator , 2015 .

[24]  Víctor Manuel Fernandes Mendes,et al.  Performance assessment of a wind energy conversion system using a hierarchical controller structure , 2015 .

[25]  L.Y. Pao,et al.  Control of variable-speed wind turbines: standard and adaptive techniques for maximizing energy capture , 2006, IEEE Control Systems.

[26]  Peter Fogh Odgaard,et al.  Fault-Tolerant Control of Wind Turbines: A Benchmark Model , 2009, IEEE Transactions on Control Systems Technology.