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Schematic diagram of EFR.

Schematic diagram of EFR.

Source publication
Article
Full-text available
A new topology was recently developed to drive generators, aiming to avoid power electronic devices directly connected to the grid, and making possible the hybridization of the wind power with other sources. The system is composed by an induction machine with rotor in squirrel cage, and a rotating armature endowed with a three-phase winding that ma...

Contexts in source publication

Context 1
... shaft attached to the gearbox, which supports the collector rings which receive the power from the inverter, is also mechanically connected to the EFR armature, although this coupling is not visible in the figure. Figure 3 presents the proposed generation system adapted from [13], replacing the synchronous generator by an induction one. Figure 3 presents the proposed generation system adapted from [13], replacing the synchronous generator by an induction one. ...
Context 2
... 3 presents the proposed generation system adapted from [13], replacing the synchronous generator by an induction one. Figure 3 presents the proposed generation system adapted from [13], replacing the synchronous generator by an induction one. ...

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Citations

... He has also shown that the EFR smoothes out mechanical oscillations caused by wind, which contributes to increasing the gear multiplier's service life. In another text Ramos et al. (2019) analyzed the application of the EFR in a large wind energy system, emphasizing the dynamic control of the maximum power extracted from the wind (MPPT). ...
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... This asynchronous machine was the first type of generator to be used for high-power wind turbines [11,12,13,14,15], has definite advantages due to its simple design, low-cost manufacturing, robustness, low weight and inertia, and low maintenance (no brush collector) it requires [16,17,18,19]. ...
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... In addition, RES-based generation systems are usually connected to the grid through power converters, which can contribute to the increase of harmonic components in the voltages and currents generated. In order to overcome these problems, the use of an electromagnetic frequency regulator (EFR) to drive grid-connect electrical generators was proposed in the literature [11][12][13][14][15][16]. The EFR device consists of a modified induction machine, whose conventional armature mass can rotate, powered by a wind turbine or any other system that can impose a mechanical torque on its axis, as illustrated in Figure 1. ...
... In addition, the controllers' design can contribute to the system achieving the desired dynamic response in cases of abrupt speed and load variations, however, it was not discussed in this work. Subsequently, in [14], the EFR was employed in the driving of a squirrel-cage induction generator (SCIG) connected to the grid. In this work, the conjugate corresponding to the maximum wind power extraction was used to define the reference value of the EFR's rotor speed control loop. ...
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... For the generator driven by the wind turbine (example), the mechanical characteristics are shown in Figure 4b. The wind turbine family of characteristics Ω pu E = f (−T pu E ) |V pu is given for various values V pu = 1; 0.8; 0.6; 0.4 of the wind velocity [1,7,11,[13][14][15][16][17]. The black points indicate the maximum power P E of the turbine for a given wind velocity. ...
... Water turbines have a lower variation in speed. The generator-type family of MIM mechanical characteristics of the wind velocity [1,7,11,[13][14][15][16][17]. The black points indicate the maximum power E P of the turbine for a given wind velocity. ...
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... Despite that, the harmonic performance was not evaluated in the proposed topology. The regulation of a grid-connected SCIG driven by the EFR for maximum power point (MPPT) reference tracking is provided in [25]; however, the inverter was modeled as a sinusoidal voltage source as the purpose of the work was to validate the optimized control strategy. ...
... The major contribution of this paper is the detailed harmonic disturbance modeling and response analysis of the EFR, including the electrical and mechanical subsystems, as it was not covered in the related previous papers [23][24][25][26][27]. The mathematical model analyzes the harmonics components and the oscillations in active power and electromagnetic torque when the EFR armature voltage is distorted. ...
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... Although many wind turbine technologies are in use [1], and some others are in development [2,3], nowadays, the Doubly Fed Induction Generator (DFIG) is still used in about 50% of all Wind Energy Conversion Systems (WECSs) in operation. The predominance of this technology, in comparison to others, is due to its capacity of maximizing energy production in a wide range of wind conditions, allied to a good performance in dynamical response to input variations, including undesirable disturbance, in the Power System [1]. ...
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Full-text available
The major objective of the investigation reported in this article is to demonstrate the feasibility of controlling a Doubly Fed Induction Generator actuating directly on the rotor voltage produced by the Rotor Side Converter, as its reference value may be determined analytically, after definition of the control objective. Two usual objectives are here considered: maximum power extraction from wind (MPPT) and stator reactive power equal to zero. This last objective defines the reference slip to be considered in the formulation of developed power that, jointly with the reactive power equation, forms the system to calculate the rotor reference voltages. The process is completed by specifying the desired dynamical response. Thus, the angular velocity of the rotor should quickly reach its reference value, which requires maximal power acceleration at the beginning, but respects the restriction that no overshoot should be allowed. This is achieved by means of a constrained optimization process solved in real time. Following recent trends, only measurements obtained from stator (voltages and currents) sensors are used. This way, angular velocity and rotor currents are estimated in real time. An algorithm for inductance estimation is also included, which prevents deviations of nominal values that could lead to false reference voltages.
Chapter
Detailed analysis of wind energy conversion systems (WECS) has been thoroughly discussed in this chapter. Followed by wind turbine topologies, including designs with horizontal or vertical axis layouts architectural styles, and constant or variable speed designs. To maximize energy extraction from wind turbines and ensure efficient power conversion, the last section deals with converter control strategies and maximum power point tracking control.
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This paper presents the implementation of a control strategy based on fuzzy logic artificial 1 intelligence (AI) for speed regulation of an electromagnetic frequency regulator (EFR) prototype, 2 aiming to eliminate the dependence on knowledge of physical parameters in the most diverse operat-3 ing conditions. Speed multiplication is one of the most important steps in power generation wind. 4 Gearboxes are generally used for this purpose. However, they have a reduced lifespan and a high 5 failure rate and are still noise sources. The search for new ways to match the speed (and torque) 6 between the turbine and the generator is an important research area to increase the energy, financial 7 and environmental efficiency of wind systems. The EFR device is an example of an alternative tech-8 nology that this team of researchers has proposed. It counts the fact of taking advantage of the main 9 advantages of an induction machine with the rotor in a squirrel cage positively. In the first studies, 10 the EFR control strategy consisted of the conventional PID controllers, which has several limitations 11 widely discussed in the literature. This strategy also limits the EFR's performance, considering its 12 entire operating range. The simulation program was developed using the Matlab/Simulink platform, 13 while the experimental results were obtained in the laboratory emulating the EFR-based system. 14 The EFR prototype used has 2 poles, a nominal power of 2.2 kW, and a nominal frequency of 60 Hz. 15 Experimental results were presented to validate the efficiency of the proposed control strategy. 16
Preprint
Full-text available
This paper presents the implementation of a control strategy based on fuzzy logic artificial intelligence (AI) for speed regulation of an electromagnetic frequency regulator (EFR) prototype, aiming to eliminate the dependence on knowledge of physical parameters in the most diverse operating conditions. Speed multiplication is one of the most important steps in power generation wind. Gearboxes are generally used for this purpose. However, they have a reduced lifespan and a high failure rate and are still noise sources. The search for new ways to match the speed (and torque) between the turbine and the generator is an important research area to increase the energy, financial and environmental efficiency of wind systems. The EFR device is an example of an alternative technology that this team of researchers has proposed. It counts the fact of taking advantage of the main advantages of an induction machine with the rotor in a squirrel cage positively. In the first studies, the EFR control strategy consisted of the conventional PID controllers, which has several limitations widely discussed in the literature. This strategy also limits the EFR's performance, considering its entire operating range. The simulation program was developed using the Matlab/Simulink platform, while the experimental results were obtained in the laboratory emulating the EFR-based system. The EFR prototype used has 2 poles, a nominal power of 2.2 kW, and a nominal frequency of 60 Hz. Experimental results were presented to validate the efficiency of the proposed control strategy.