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This paper presents a study analysis of a complete wind energy conversion system, the system based on a doubly fed induction generator (DFIG); a vector control with stator flux orientation of the DFIG is also used to control independently the active and reactive powers. A comparative study have been performed between the conventional PI controller...
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... multiplier increases the rate of rotation and transmits it to the generator, which makes use of magnetic fields to transform the rotational electricity into electrical energy [7]. Precept of power transformation of a wind turbine, as proven in Figure 1. We can determine the power available (theoretical power), due to the wind through applying the theory of the momentum and the theorem of Bernoulli: í µí²« í µí° ¶ í µí¼, í µí»½ . ...
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... proven in Figure 11 figure 12. Each fuzzy controller gives unbiased control of the active and reactive powers. ...
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... proven in Figure 11 figure 12. Each fuzzy controller gives unbiased control of the active and reactive powers. ...
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... fuzzy controller gives unbiased control of the active and reactive powers. Figure 13 illustrates the layout of the fuzzy controller. The profits í µí°º í µí± í µí°º í µí»¥í µí± and í µí°º are scale factors (normalization). ...
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... take as inputs the error and its spinoff, at the same time as the output is the command itself. The triangular and trapezoidal membership features are used in a normalized speech universe inside the interval [-1; 1] for every variable, as proven in Figures 14 and 15, respectively for inputs (mistakes, errors variant) and output (input procedure). Figures 16, 17, 18 show that the performance of fuzzy logic is quite good in comparison with PI controller. ...
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... triangular and trapezoidal membership features are used in a normalized speech universe inside the interval [-1; 1] for every variable, as proven in Figures 14 and 15, respectively for inputs (mistakes, errors variant) and output (input procedure). Figures 16, 17, 18 show that the performance of fuzzy logic is quite good in comparison with PI controller. ...
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Citations
... Over the years, a range of control strategies have been proposed and explored in this context [10][11][12][13][14]. Among them, Proportional-Integral (PI) control [15], fuzzy logic [16], and sliding mode control [17] have attracted considerable attention due to their potential to effectively address the unique challenges posed by wind energy systems [3]. While each method offers distinct advantages, there remains a notable gap in the literature concerning a comprehensive comparison clearly delineating their respective strengths and weaknesses in wind turbine control [18]. ...
This research addresses the critical role of control systems in wind turbine power management, focusing on three control methodologies: Proportional-Integral (PI), fuzzy logic, and sliding mode. These methods are applied to a dual-fed asynchronous generator (DFIG) in a horizontal-axis wind turbine with three blades. The study emphasizes the optimization and reliability of these control systems in enhancing the turbine's overall capacity and ensuring consistent energy output. A key finding is the effectiveness of the sliding mode control in reducing the static error and response time compared to PI and fuzzy logic controls, demonstrating its potential for improving wind turbine efficiency. This comparative analysis contributes to a deeper understanding of the most effective control mechanisms for wind turbines, offering valuable insights for future turbine design and implementation. The results of this study not only enrich the academic discussion but also have significant implications for the renewable energy industry.
... Because of the unique blessings of the DFIG, it is turning into the main configuration of wind power technology. The vector control approach is used to study the generator, and the DFIG rotor is connected to an alternating excitation whose frequency, section and importance can be tailored [2]. With the DFIG,generation can be accomplished in variable velocity starting from sub synchronous pace to superb synchronous pace ((±30%) around the synchronous pace [3,4]. ...
... In this regard, the main categories of artificial neural networks include genetic algorithm (GA), fuzzy logic, and neural network. The authors in [13] evaluate that the fuzzy control provides a robustness control of the active and reactive powers of a DFIG. Another use of fuzzy logic is applied to the feedback linearization approach to improve the DFIG against unbalanced voltage [14]. ...
A doubly-fed induction generator is the most widely used as a wind turbine generator. Due to its drawbacks, doubly fed induction generator (DFIG) is extremely sensitive to grid disturbances, and the fragility of some components which are costly to the producer. Also, its acquisition value is very high in terms of maintenance time or component cost, causing substantial harm to both the energy production and power supplier. It is required that the DFIG components must be protected, especially power electronics devices and DC-Link capacitor. Therefore, this paper presents an improved crowbar strategy for DFIG. This method is based on the AI technique concept of utilizing a fuzzy logic controller. The main goal of this project is to improve the system performance by reducing the dangerous oscillations of electromagnetic torque, DC-link voltage, and rotor current during fault. This work consists of replacing the hysteresis control for the crowbar with fuzzy logic to realize crowbar-FLC. The proposed crowbar is based on free light chain (FLC) depending on rotor currents and DC-link voltage measurements. The control strategy is simulated in the MATLAB Simulink platform to evaluate the efficiency of the suggested technique. Keywords: Artificial intelligent Crowbar DFIG wind turbine Fuzzy logic MATLAB/Simulink Symetrical three-phase fault This is an open access article under the CC BY-SA license.
... This best-fit is the optimal solution provided by minimizing the smallest possible error prediction [23]. The optimal parameter values have been found based on the [24] and fuzzy logic [25], can be used to further improve these hyperparameters. ...
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... Преобразование кинетической энергии ветра в энергию. [61] ...
The scientific qualification work (thesis) consists of an introduction, five chapters
(Chapter 1 - Microgrid, Chapter 2 - Description of the elements of the microgrid and
mathematical modeling of the converted are used in our study, Chapter 3 - Types of
control in this system, Chapter 4 - Voltage source converter controller (VSC), chapter 5
- Simulation and discussion of results, conclusions.
The isolated Microgrid based renewable energy sources can be considered as a suitable
and efficiency economical solution for the remote area where the main grid is not
available. The frequency and power deviation is a serious problem for the microgrid
system because of the intermittent nature of renewable energy generation such as wind
speed and solar radiation. The frequency and power fluctuation must be kept within
small deviations in the object the correct operation of microgrid. This paper is focused
on the study of the microgrid and it’s important in the domain of the power production
and as efficiency solution of the power interruption and to supply the isolated area by
the green and renewable power. The microgrid can be designed according to the
customer's specific needs in southern Algeria; For example, improving local reliability,
reducing feeder losses, maintaining local voltages, improving efficiency, eliminating
voltage dips, or providing uninterruptible power functions.
The scientific qualification work contains 146 pages, 8 tables, 99 figures, 161
information sources.
... Moreover, it is intermittent and requires a high initial investment, increased transmission costs, and a wide land area. It was first employed in mechanical application areas before being utilized to produce electricity [3]. The total installed global wind power capacity at the end of the year of 2019 was 60.4 GW, which represents a 19% increase from installations in the year of 2018 and the second-best year historically for wind power [2]. ...
... In addition, induction generators may be regulated by utilizing different strategies like field-oriented control, indirect torque one …, etc., using processes intended to control the DFIG's active and reactive power [3,4]. Otherwise, Field Oriented Control (FOC) or Vector Control (VC) strategy is then combined and applied to the DFIG to make its dynamic behavior similar to the DC machine one which leads to the successful decoupling of the active and reactive power in such a system [5]. ...
In this paper, an improved Backstepping control based on a recent optimization method called Ant Lion Optimizer (ALO) algorithm for a Doubly Fed Induction Generator (DFIG) driven by a wind turbine is designed and presented. ALO algorithm is applied for obtaining optimum Backstepping control (BCS) parameters that are able to make the drive more robust with a faster dynamic response, higher accuracy and steady performance. The fitness function of the ALO algorithm to be minimized is designed using some indexes criterion like Integral Time Absolute Error (ITAE) and Integral Time Square Error (ITSE). Simulation tests are carried out in MATLAB/Simulink environment to validate the effectiveness of the proposed BCS-ALO and compared to the conventional BCS control. The results prove that the objectives of this paper were accomplished in terms of robustness, better dynamic efficiency, reduced harmonic distortion, minimization of stator powers ripples and performing well in solving the problem of uncertainty of the model parameter.
... These electrical machines have external disturbances, nonlinearities and parametric errors. Conventional linear methods are becoming ineffective, unable to accommodate such phenomena and often give less satisfactory results [4]- [6]. To overcome this problem, the trend in current research has been towards robust nonlinear system controls that give acceptable performances over wide operating ranges. ...
... To validate the performances of the proposed control, a literature review in recent works based on PI regulation of wind energy systems using DFIG [6]- [17] has been done. As a result, for the PI controllers, the effect of the coupling between the two powers is observed because a step imposed on one of the two powers (active or reactive) induces an important dismissal of the powers compared to the reference value and a time to return to the initial state. ...
This paper reports on the design and implementation in DSP as hardware in the loop of a nonlinear control strategy for a grid-connected variable speed wind turbine using a doubly-fed induction generator (DFIG). The objective of this work is to build a real-time nonlinear hybrid approach combining Backstepping control and sliding mode control strategies for DFIG used in wind energy conversion systems (WECS). The results of the DSP implementation are discussed and qualitative and quantitative performance evaluations are performed under various disturbed conditions. The implementation is performed using the TMS320F28335 DSP combined with the MATLAB/Simulink (2016a) environment. The experimental results have been satisfactorily achieved, which implies that the proposed strategy is an efficient and robust approach to monitor the WECS.
... The strategy illustrated Sugeno fuzzy logic controller was used to incorporate the previous part. A fuzzy logic controller relates the controller outputs to inputs using a list of if-then [26] see Table 5. The adjectives that characterize regions of the input variable are referred to in the if-part of the rules. ...
Power management in multi-power supply electrical systems to manage the general system behavior is essential to improve autonomy and efficiency. In this paper, a proposed fuzzy-logic power management-based sugeno rule is applied in a hybrid PV/battery electric wheelchair to ameliorate the battery life cycle and the overall autonomy. Besides, the increment conductance INC MPPT is used to maximize PVpower. The electric wheelchair's general topology comprises photovoltaic energy resources as the main source and the battery energy storage system device as the auxiliary source. This hybrid power source system supplied the electric wheelchair composed two permanent magnet DC motors controlled by a PI controller. MATLAB/Simulink program is used to implement the overall control scheme. The simulation results that were obtained and the detailed study demonstrate the feasibility and performance of this intelligent strategy.
... where Rr and Rs are respectively the rotor and stator resistances per phase. Rotor and stator flux are defined as (9) [18]: ...
This paper describes a MPPT control of the stator powers of a DFIG operating within a wind energy system using the backstepping control technique. The objective of this work consists of providing a robust control to the rotor-side converter allowing the stator active power to be regulated at the maximum power extracted from the wind turbine, as well as maintaining the stator reactive power at zero to maintain the power factor at unity, under various conditions. We have used the Matlab/Simulink platform to model the wind system based on a 7.5 kW DFIG and to implement the MPPT control algorithm in a first step, then we have implemented the field-oriented control and the backstepping controller in a second step. The simulation results obtained were very satisfactory with a fast transient response and neglected power ripples. They furthermore confirmed the high robustness of the approach used in dealing with the variation of the internal parameters of the machine.
... Usually, the highest load motor will selected as the master motor, and the other one motor will be set as slave motor. For this topology, the operating conditions are restricted to same values such as same speed, same parameters and the same direction [1][2][3][4][5][6][7][8][9][10]. The only advantage of this technique is, only one set of sensor is required for the master motor and the slave motor will be not controlled. ...
span>The objective of this article is to analyze the performances of Non-Independent Speed Control of Dual-PMSM (Permanent Magnet Synchronize Motor) Drives by a single Three-Leg Voltage Source Inverter (VSI) using control of Mean and Differential Torque technique. In general, there are two types of control strategies for Dual-Motor drives. One is Master-Slave technique and another one is Mean Control technique. For mean control technique, this study chooses mean and differential approach for the motors parameters and averaging the voltage space vector. The advantages of Dual-Motor drives fed by a single inverter topology are, it can reduce size and cost compared to the Dual-motor drives fed by individual inverter, either in industrial or in traction applications. However, by using a single three-phase inverter, the topology only restricted for the same operating conditions which are at the same speed, same parameters and same direction. The dual-motors are dependent (non-independent) on the other motor. It is can only be tested on different load operation. The analysis is focuses on speed and load variation for Dual-PMSM drives considering the forward and reverse operations of the motor. This simulation model is modelled using MATLAB-Simulink.</span
