Modified vector controlled DFIG wind energy system based on barrier function adaptive sliding mode control

Increased penetration of wind energy systems has serious concerns on power system stability. In spite of several advantages, doubly fed induction generator (DFIG) based wind energy systems are very sensitive to grid disturbances. DFIG system with conventional vector control is not robust to disturbances as it is based on PI controllers. The objective of this paper is to design a new vector control that is robust to external disturbances. To achieve this, inner current loop of the conventional vector control is replaced with sliding mode control. In order to avoid chattering effect and achieve finite time convergence, the control gains are selected based on positive semi-definite barrier function. The proposed barrier function adaptive sliding mode (BFASMC) is evaluated by testing it on a benchmark multi-machine power system model under various operating conditions. The simulated results show that the proposed method is robust to various disturbances.

[1]  Alessandro Pisano,et al.  Receding Horizon Adaptive Second-Order Sliding Mode Control for Doubly-Fed Induction Generator Based Wind Turbine , 2017, IEEE Transactions on Control Systems Technology.

[2]  Di Wu,et al.  An algorithm for practical power curve estimation of wind turbines , 2018 .

[3]  Xiao-Ping Zhang,et al.  Decentralized Nonlinear Control of Wind Turbine With Doubly Fed Induction Generator , 2008, IEEE Transactions on Power Systems.

[4]  Heng Nian,et al.  Direct Active and Reactive Power Regulation of DFIG Using Sliding-Mode Control Approach , 2010, IEEE Transactions on Energy Conversion.

[5]  Hussein Obeid,et al.  Barrier function-based adaptive sliding mode control , 2018, Autom..

[6]  Christopher Edwards,et al.  Sliding Mode Control and Observation , 2013 .

[7]  Haibo He,et al.  Optimized Control of DFIG-Based Wind Generation Using Sensitivity Analysis and Particle Swarm Optimization , 2013, IEEE Transactions on Smart Grid.

[8]  Hong-Hee Lee,et al.  Performance Enhancement of Stand-Alone DFIG Systems With Control of Rotor and Load Side Converters Using Resonant Controllers , 2012, IEEE Transactions on Industry Applications.

[9]  Jinyu Wen,et al.  An Investigation on the Active-Power Variations of Wind Farms , 2012 .

[10]  S. Mishra,et al.  Improving Stability of a DFIG-Based Wind Power System With Tuned Damping Controller , 2009, IEEE Transactions on Energy Conversion.

[11]  A. Mullane,et al.  Modeling of the wind turbine with a doubly fed induction generator for grid integration studies , 2006, IEEE Transactions on Energy Conversion.

[12]  Xiangjie Liu,et al.  Second-order sliding mode control for power optimisation of DFIG-based variable speed wind turbine , 2017 .

[13]  Godpromesse Kenné,et al.  An Online Simplified Nonlinear Controller for Transient Stabilization Enhancement of DFIG in Multi-Machine Power Systems , 2015, IEEE Transactions on Automatic Control.

[14]  T. Ahmed-Ali,et al.  Second-Order Sliding Mode Control of a Doubly Fed Induction Generator Driven Wind Turbine , 2012, IEEE Transactions on Energy Conversion.

[15]  P. V. Ramanarao,et al.  Optimal Control of DFIG Wind Energy System in Multi-machine Power System using Advanced Differential Evolution , 2018, IETE Journal of Research.

[16]  Q. H. Wu,et al.  Perturbation Observer Based Multiloop Control for the DFIG-WT in Multimachine Power System , 2014, IEEE Transactions on Power Systems.