Implementation and comparative study of control strategies for an isolated DFIG based WECS

Abstract.Nowadays, a global interest for renewable energy sources has been growing intensely. In particular, a wind energy has become the most popular. In case of autonomous systems, wind energy conversion system (WECS) based on a double fed induction generator (DFIG) is widely used. In this paper, in order to control the stand-alone system outputs under wind speed and load variations, three kinds of nonlinear control strategies have been proposed, applied and compared, such as: Classical PI controller, Back-Stepping and Sliding Mode controllers. A series of experiments have been conducted to evaluate and to compare the developed controllers’ dynamic performances under load demand and speed variations. The design and the implementation of different control strategies to a 1.5kW doubly fed induction machine is carried out using a dSpace DS1104 card based on MATLAB/Simulink environment. Experimental results are presented to show the validity of the implemented controllers and demonstrate the effectiveness of each controller compared with others.

[1]  D. Rekioua,et al.  Performances analysis of WT-DFIG with PV and fuel cell hybrid power sources system associated with hydrogen storage hybrid energy system , 2016 .

[2]  R. P. Saini,et al.  A review on Integrated Renewable Energy System based power generation for stand-alone applications: Configurations, storage options, sizing methodologies and control , 2014 .

[3]  Ramesh Kumar Tripathi,et al.  Isolated Wind Power Supply System using Double-fed Induction Generator for remote areas , 2015 .

[4]  Vadim I. Utkin,et al.  Sliding mode control , 2004 .

[5]  Hong Liu,et al.  Load frequency control by neural-network-based integral sliding mode for nonlinear power systems with wind turbines , 2016, Neurocomputing.

[6]  Ahmed Chebak,et al.  Concept of educational renewable energy laboratory integrating wind, solar and biodiesel energies , 2016 .

[7]  Luis Marroyo,et al.  Doubly Fed Induction Machine : Modeling and Control for Wind Energy Generation , 2011 .

[8]  Mehrdad Kazerani,et al.  An analytical literature review of stand-alone wind energy conversion systems from generator viewpoint , 2013 .

[9]  Donghua Wang.  A novel variable speed diesel generator using doubly fed induction generator and its application in decentralised distributed generation systems , 2012 .

[10]  Said Drid,et al.  A developed energy management strategy for a stand‐alone hybrid power system for medium rural health building , 2016 .

[11]  W. Koczara,et al.  Sensorless direct voltage control method for stand-alone slip-ring induction generator , 2005, 2005 European Conference on Power Electronics and Applications.

[12]  Ramesh Kumar Tripathi,et al.  A novel voltage and frequency controller for standalone DFIG based Wind Energy Conversion System , 2014 .

[13]  Aziz Derouich,et al.  Observer backstepping control of DFIG-Generators for wind turbines variable-speed: FPGA-based implementation , 2015 .

[14]  Akkila Boukhelifa,et al.  Regulated output voltage double switch Buck-Boost converter for photovoltaic energy application , 2015, 2015 3rd International Renewable and Sustainable Energy Conference (IRSEC).

[15]  Vadim I. Utkin,et al.  Sliding mode control in electromechanical systems , 1999 .

[16]  Prakash K. Ray,et al.  Stability analysis and reactive power compensation issue in a microgrid with a DFIG based WECS , 2014 .

[17]  Khouloud Bedoud,et al.  Adaptive Fuzzy Gain Scheduling of PI Controller for Control of the Wind Energy Conversion Systems , 2015 .

[18]  Yang Tian,et al.  Direct power control of DFIG wind turbine systems based on an intelligent proportional-integral sliding mode control. , 2016, ISA transactions.

[19]  Joao P. S. Catalao,et al.  Comparative study of power converter topologies and control strategies for the harmonic performance of variable-speed wind turbine generator systems , 2011 .

[20]  Fateh Abdoune,et al.  Terminal voltage build-up and control of a DFIG based stand-alone wind energy conversion system , 2016 .

[21]  Soulaymen Kammoun,et al.  Behaviour assessment of DFIG based wind turbine generator while coupling to the grid using a new and practical connection technique , 2015, IREC2015 The Sixth International Renewable Energy Congress.

[22]  Djamila Rekioua,et al.  Robust nonlinear predictive control of permanent magnet synchronous generator turbine using Dspace hardware , 2016 .

[23]  Sami Kahla,et al.  Feedback linearization control based particle swarm optimization for maximum power point tracking of wind turbine equipped by PMSG connected to the grid , 2016 .

[24]  C. Evangelista,et al.  Wind turbine efficiency optimization. Comparative study of controllers based on second order sliding modes , 2010 .

[25]  S. Bacha,et al.  Energy-Reliability Optimization of Wind Energy Conversion Systems by Sliding Mode Control , 2008, IEEE Transactions on Energy Conversion.

[26]  C. Evangelista,et al.  Multivariable 2-sliding mode control for a wind energy system based on a double fed induction generator , 2012 .