نتایج جستجو برای: brushless doubly fed induction generator
تعداد نتایج: 332988 فیلتر نتایج به سال:
in the past few decades, increasing growth of wind power plants causes different problems for the power quality in the grid. normal and transient impacts of these units on the power grid clearly indicate the need to improve the quality of the electricity generated by them in the design of such systems. improving the efficiency of the large-scale wind system is dependent on the control parameter...
A novel open-winding brushless doubly-fed reluctance machine and its power decoupling control system are proposed for wind power generator application. The control winding of brushless doubly-fed reluctance generator (BDFRG) is designed as openwinding structure, and the double-end power supply cascade two-level inverter is adopted to excite the open-winding BDFRG. This topology structure has be...
Recently, Brushless Cascaded Doubly Fed Induction Generator (BCDFIG) has been considered as an attractive choice for grid-connected applications due to its high controllability and reliability. In this paper, a Finite Control Set Model Predictive Control (FCS-MPC) method with active and reactive power control capability in grid-connected mode is proposed for controlling the BCDFIG in a way that...
Introduction. Nowadays, global investment in renewable energy sources has been growing intensely. In particular, we mention here that wind source of grown recently. Purpose. Comparative study between sliding mode control and vector a brushless doubly fed reluctance generator based on conversion systems. Methods. This paper deals with conceptual analysis comparative two techniques promising low-...
Brushless Doubly-Fed Machine has attracted considerable attention in recent years due to its advantages. It has the robustness of the squirrel cage induction machine, and the speed and power factor controllability of the synchronous machine as well as the absence of brushes and slip rings, and using a fractionally rated frequency converter. Hence, there are considerable benefits over the conven...
The combination of neural networks and fuzzy controllers is considered as the most efficient approach for different functions approximation, and indicates their ability to control nonlinear dynamical systems. This paper presents a hybrid control strategy called Neuro-Fuzzy Sliding Mode Control (NFSMC) based on the Brushless Doubly fed Induction Generator (BDFIG). This replaces the sliding surfa...
The doubly-fed generators (DFIG) have clear superiority for the applications of large capacity and limited-range speed control case due to the partially rated inverter, lower cost and high reliability. These characteristics enable the doubly-fed wound rotor induction machine to have vast applications in wind-driven generation.In this paper Combined Vector and direct power control (CVDPC) strate...
Variable speed generator systems (VSGs) are at work in the now 600 GW installed wind power plants (parks). Also, they used as vehicular and on ground stand-alone generators. VSGs imply full kVA rating PWM converters permanent magnet (PM) or electrically excited synchronous cage rotor inductance But, to reduce cost absence of PMs a reasonable initial (weight) efficiency, fractional converter dou...
This paper refers to modeling, simulation and analysis of doubly fed induction generator for wind turbines. This paper presents the modelling of DFIG based WT system and the simulation results performed for the system developed in Simulink environment of MATLAB . A gird connected wind energy generation model is developed and simulated for normal operation and for some faults in the grid. the an...
wind energy today, has attracted widespread interest from among a variety of sources of renewable energy in the world. owing to the increasing demand for production of electrical energy for electricity networks by using wind power, it is essential that wind power plants are actively incorporated in the network’s performance using an appropriate control system. in general, these wind power plant...
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