Comparative study between PI and SMC controllers for DFIG using fuzzy wind power estimator (original) (raw)
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Energy Procedia, 2012
This paper presents a study analysis of a wind energy conversion system (WECS) based on a doubly fed induction generator (DFIG) connected to the electric power grid. The aim of the work is to apply and compare the dynamic performances of two types of controllers (namely, classical PI and Fuzzy-PI) for the WECS in terms of tracking and robustness with respect to the wind fluctuation as well as the impact on the quality of the energy produced. A vector control with stator flux orientation of the DFIG is also presented to control the active and reactive powers between the stator and the grid, and further to achieve maximum wind energy capturing. To show the effectiveness of the control method performances analysis of the system are analyzed and compared by simulation in terms of the performances of the machine.
Abstarct In this paper an indirect vector control using fuzzy sliding mode control is proposed for a double-fed induction generator (DFIG), applied for a wind energy conversion system in variable speed. The objective is to independently control the active and reactive power generated by the DFIG, which is decoupled by the orientation of the flux. The sliding mode control finds its strongest justification for the problem concerning the use of a robust nonlinear control law for the model uncertainties. As far as the fuzzy mode control is concerned, it aims at reducing the chattering effect. The obtained results show the increasing interest of such control in this system. In this study, fuzzy sliding-mode control (FSMC) method, which is one of the active control algorithms, has been applied for a double-fed induction generator (DFIG). The chattering effect, the major disadvantage of conventional sliding-mode controller, has been removed by introducing FSMC without losing the robustness against parametric uncertainties, modeling inaccuracies and varying dynamic loads. For realizing the intelligent pitch controller, fuzzy sliding mode control, which combines fuzzy sliding mode control and self-organizing modifier, is proposed. 1.Introduction In recent years, there has been an evolution of wind electrical energy production. This source of energy has developed importantly considering the diversity of the exploitable zones and the relatively beneficial cost [1]. Now most wind turbines are equipped with a double-fed induction generator (DFIG) due to noticeable advantages: the variable speed generation (±30% around the synchronous speed), the decoupled control of active and reactive powers, the reduction of mechanical stresses and acoustic noise, the improvement of the power quality, and the low cost [2]. In the literature on DFIG control, different techniques have been used, among them indirect vector control with a PI controller. This technique offers some advantages: practical implementation, protection against the DFIG currents at high intensity, and operation of the DFIG as an active filter [3]. However, this technique of control loses its robustness and performance during the exposure of the DFIG to some constraints, such as the effects of parameter uncertainties (caused by heating, saturation, etc.) and the speed variation disturbance. In addition to these drawbacks, there is also the effect of coupling between the active and the reactive power [4]. To ensure the robustness and good performance of the indirect vector control using a PI controller, several approaches have been recently proposed. In [5], the authors proposed to optimize the gains of PI controllers by the genetic algorithm. In [6] and [7], the authors proposed an adaptive control with fuzzy and neuro-fuzzy logic to adjust the gains of PI controllers. Other approaches were adopted to change the PI controllers for other controllers, namely polynomial RST based on pole placement theory and linear quadratic Gaussian [4], sliding mode [8], second-order sliding mode [9], and fuzzy logic [10].
DFIG Wind Turbine Controlled by Sliding Mode and Fuzzy-Sliding Control Modes
Algerian Journal of Signals and Systems
Many non-linear controllers have been used to improve system performances and robustness of double fed induction machine (DFIG) based wind turbines like sliding mode control (SMC). However, this type of controller is less efficient due to a sign function that can lead to chattering phenomenon. To overcome this deficiency, the function is replaced by fuzzy logic control (FLC). This is what is proposed in this paper which deals with doubly fed induction generator (DFIG) based wind turbine conversion system (WECs) by sliding mode control and fuzzy sliding mode control (FSMC). The system control have been applied to the back to back converters that connect rotor windings to the grid, For the rotor side converter (RsC), we have presented sliding mode control, and fuzzy sliding mode control to monitor active and reactive powers independently, when the grid side converter (GsC) was set to keep a constant DC voltage with a desired power factor. The effectiveness of the proposed control syst...
International Journal of Renewable Energy Research
This work aims to present a comparative study of four controllers for Double Fed Induction Generator (DFIG) based Wind Energy Conversion System (WECS). The DFIG is directly connected to the grid and driven by the rotor through an AC/DC/AC converter. A model was developed for each component (Turbine, DFIG and Rectifier-Filter-Inverter) of the wind system. The PWM control method is applied to the inverter to drive the DFIG from the rotor circuit. To ensure high performance and better enforcement of DFIG, a direct vector control strategy of active and reactive power of the stator has been developed. The synthesis of conventional PI controller and advanced RST, Sliding Mode (SM) and Fuzzy Supervisory (FS) controllers is performed. The system's performance has been tested and compared according to reference tracking, robustness, and disturbance rejection. A set of simulation studies are carried-out on a WECS model to prove the effectiveness of the proposed controllers design.
Fuzzy sliding mode control of a doubly fed induction generator for wind energy conversion
In this paper we present a nonlinear control using fuzzy sliding mode for wind energy conversion system based on a doubly-fed induction generator (DFIG) supplied by an AC-AC converter. In the first place, we carried out briefly a study of modeling on the whole system. In order to control the power flowing between the stator of the DFIG and the grid, a proposed control design uses fuzzy logic technique is applied for implementing a fuzzy hitting control law to remove completely the chattering phenomenon on a conventional sliding mode control. The use of this method provides very satisfactory performance for the DFIG control, and the chattering effect is also reduced by the fuzzy mode. The machine is tested in association with a wind turbine. Simulations results are presented and discussed for the whole system.
Instrumentation Mesure Métrologie
The wind system based on double-fed induction generator (DFIG) has become a very important source of energy. To ensure the proper functioning of this system, many improved control algorithms have been developed for the rotor side converter (RSC). This article presents the analysis and design of a double-fed induction generator (DFIG) control technique based on coupling the type-2 fuzzy logic control with the sliding mode control (SMC). For the design of this technique, a decoupled modeling of the DFIG with the orientation of its stator flow is presented. The main purpose of the proposed technique is to make a control to meter the quantities of the powers produced by DFIG which are injected into the electrical network and to reduce the phenomenon of chattering which depends on control by sliding mode. This command has allowed us to reduce the chattering phenomenon and improve the performance of the system in terms of speed monitoring and stator side powers regulation. Simulations are performed using MATLAB / Simulink to validate the effectiveness of the proposed control algorithm. The simulation results, obtained when applying this control strategy to the system, demonstrated the validity of the results and thus validated the high performance of this control technique.
Analysis of PI and Fuzzy Controller for DFIG under Variable Wind Speed Condition
Wind power contributes a significant proportion of consumers' increasing electrical power demands. Due to the current requirements for the expansion of renewable energy as sources of electrical energy, wind energy conversion is getting much interest all over the world. In present scenario the variable speed doubly fed induction generator is the most prolific concept. There are a number of techniques by which we can control grid side and rotor side of DFIG. This paper develops simple doubly Fed Induction generator (DFIG) coupled with wind turbine using PI control and fuzzy logic control. Finally the results of both techniques are compared. Keywords: Doubly-fed induction generator (DFIG), wind turbine, wind energy, grid side controller (GSC), rotor side controller (RSC), Variable speed wind turbine, PI controller, Vector Control(VC), Fuzzy logic control(FLC) _______________________________________________________________________________________________________
Fuzzy sliding mode control of doubly-fed induction generator driven by wind turbine
Fuzzy sliding mode control of doubly-fed induction generator driven by wind turbine, 2019
This paper present a hybrid nonlinear control based on fuzzy sliding mode to control wind energy conversion system using a doubly fed induction generator (DFIG). Consiting of coupling fuzzy logic control and sliding mode control this technique is introduced to avoid the major disadvantage of variable structure systems, namely the chattering phenomenon. Effectiveness and feasibility of the proposed control strategy are verified by simulation results in Matlab Simulink.
Fuzzy sliding mode power control for wind power generation systems connected to the grid
International Journal of Power Electronics and Drive Systems (IJPEDS), 2021
In recent years we have witnessed a real increase in the production of wind turbines and wind farm installations around the world, in order to improve this own energy, several studies have focused on the interest of controlling the active and reactive power of the system. Wind power, and at the same time on the quality of the energy produced and its connection in order to ingest suitable electrical energy into the distribution network. This article studies a new control technology to meet the various constraints in the field. The objective for work is to develop and study the sliding mode control method applied to a wind power system based on doubly fed induction generation (DFIG), as well as an optimization using the fuzzy logic technique. Ensuring the stability of the system is one of the objectives of using the Lyapunov nonlinear technique in the sliding mode control strategy which will be applied to the two converters (machine side and network side). The proposed solution was to validate a simulation on MATLAB/Simulink, tracking test (true wind speed) and also the robustness of the system.
Fuzzy logic rotor currents control of a DFIG-based wind turbine
— this paper proposes the control of the rotor-side PWM converter of a variable speed doubly fed induction generator based wind turbine using rotor flux oriented vector control based fuzzy logic. Two fuzzy logic controllers were used to control the direct and the quadratic rotor currents as an alternative of the conventional proportional and integral (PI) controller to overcome any disturbance. The system' model is developed in MATLAB/SIMULINK.