Advanced control scheme.

Advanced control scheme.

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To supply resident loads far from the grid, a stand-alone wind system with a small-scale wind turbine and battery storage can be used. The traditional configuration of the system has a permanent-magnet synchronous generator (PMSG). Other alternative configurations use doubly fed induction generator (DFIG). The systems with DFIG have variable speed...

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... Doubly-fed induction generator (DGIG) wind turbines are based on wound-rotor induction machines where the rotor circuit is fed through bidirectional back-to-back voltage source converters [31]. A schematic model of the DFIG is shown in Figure 2. Te DFIG is the most commonly used wind turbine for wind power generation, since it provides signifcant benefts such as variable speed, high-power output, decoupled control of active and reactive powers, and power quality improvement [32,33]. As shown in Figure 2, the rotor winding of a DFIG is connected to a converter through slip rings, whereas its stator winding is directly connected to the network. ...
... Te back-to-back voltage converter via the DC link capacitor feeds rotor from the third winding of a threewinding transformer that connects the DFIG to the network [33]. Power is transferred from the stator to the network through two of three windings of the three-winding transformer. ...
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The integration of renewable energy sources into power systems has increased significantly in recent years. Among various types of renewable energy, the use of wind energy is growing rapidly due to its low operating cost, wide distribution worldwide, and no greenhouse gas emissions. However, power systems integrated with wind energy may face stability and reliability issues due to the intermittent nature of wind power. Therefore, in power systems connected to wind farms, it is usually required to use some compensators such as static synchronous series compensator (SSSC) to increase the system performance under abnormal conditions. On the other hand, for an SSSC to be effective in improving the system performance, it must be equipped with a suitable controller. In this paper, a fuzzy logic controller (FLC) is used for the SSSC because of its advantages over conventional controllers. Extensive research has been conducted in power systems with wind turbines in which SSSC or FLC has been used; however, their simultaneous application in such systems has received less attention. Therefore, this article aims to fill this gap. The proposed method is implemented on two power systems and the simulation results are analyzed. In both systems, the dynamic behavior of three different wind farms is examined. In the first and second wind farms, either a squirrel cage induction generator (SCIG) or doubly-fed induction generator (DFIG) are used, whereas in the third one which is a combined wind farm (CWF), an equal number of SCIG and DFIG are employed. In wind farms with SCIG or DFIG, an SSSC is also utilized. Furthermore, an FLC is employed for the SSSC to improve its efficacy. A proportional integral (PI) controller is also considered for the SSSC, and its results are compared with FLC results. The simulation results confirm the superiority of FLC over PI controller.
... Te major of these researchers were exposed a standard control loops as it is in [26,27]. Other intelligent control topologies were exposed in [28,29], where deep learning is used for enhancing the efciency of the electrical motor generator. Predictive control and sliding mode control forms were also exposed in many applications for enhancing the overall system as it is in [30,31] From the other side, Kalman flter was used in many applications in order to enhance the system control loop and this reference can give an example [32]. ...
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EVs sufer from short driving range because of limited capacity of the battery. An advantage of EVs over internal-combustion vehicles is the ability of regenerative braking (RB). By this advantage, EVs can develop energy by RB which can be stored in the battery for later use to increase the driving range of EVs. Tere are diferent motors that can be used in EVs, and the control during RB mode is dedicated for certain motor types. However, the previous studies for EV-based IM drives consider the motor-speed control without considering its RB. Tis paper proposes a robust control of induction motor (IM) during RB mode of EVs. Te proposed control system is simple and depends only on mathematical calculations. Te obtained results confrm the efectiveness and accuracy of the suggested control strategy with a good dynamic behavior under diferent operating conditions. Also, the results assure the robustness of control capabilities under parameters uncertainties during the RB mode of EV-based IM drives.