نتایج جستجو برای: wecs wind energy conversion system
تعداد نتایج: 2892195 فیلتر نتایج به سال:
This paper presents the control of a WECS (wind energy conversion system), equipped with a DFIG (doubly fed induction generator), for maximum power generation and power quality improvement simultaneously. The proposed control algorithm is applied to a DFIG whose stator is directly connected to the grid and the rotor is connected to the grid through a back-to-back AC-DC-AC PWM (pulse width modul...
The increasing demand of electric power necessitates the establishment of new generating stations. Wind energy conversion system (WECS) is more attractive due to its mature and clean aspects. During last decades the variable speed wind turbine concept has been increasingly receiving attention due to the fact that it is more controllable and efficient, and has good power quality. The wind turbin...
Received Sep 15, 2017 Revised Nov 14, 2017 Accepted Nov 23, 2017 In this paper, a straightforward strategy for tracking the maximum power (MP) accessible in the wind energy conversion system for dc microgrid is proposed. A three-phase diode bridge rectifier alongside a dc-dc converter has been utilized between the terminals of wind-driven induction generator and dc microgrid. Induction generato...
Received Sep 15, 2017 Revised Nov 14, 2017 Accepted Nov 23, 2017 In this paper, a straightforward strategy for tracking the maximum power (MP) accessible in the wind energy conversion system for dc microgrid is proposed. A three-phase diode bridge rectifier alongside a dc-dc converter has been utilized between the terminals of wind-driven induction generator and dc microgrid. Induction generato...
A self tuning PID control strategy using reinforcement learning is proposed in this paper to deal with the control of wind energy conversion systems (WECS). Actor-Critic learning is used to tune PID parameters in an adaptive way by taking advantage of the model-free and on-line learning properties of reinforcement learning effectively. In order to reduce the demand of storage space and to impro...
With the increasing penetration of wind energy into power system, wind energy conversion systems (WECSs) should be able to control the power flow for limited as well as maximum power point tracking. In contrast to the traditional pitch angle control, this paper focusses on field oriented speed control of permanent magnet synchronous generator (PMSG) for controlling the active power flow based o...
This paper proposes an novel maximum power point tracking (MPPT) method for the wind energy conversion system using a Fuzzy with Genetic Algorithm. The proposed output max-imitation control is achieved without mechanical sensors such as the wind speed or position sensor & the new control system will deliver maximum electric power with weightless, high efficiency, and high reliability. The MPPT ...
As the wind energy market matures and becomes more competitive, it is increasingly important that new entrants realize the full potential of their wind energy conversion system (WECS) early in their product development cycle. Traditionally, the evaluation of potential performance characteristics has been limited to full-scale prototype testing in a field environment. This method can be both cos...
This paper presents the complete modeling and real-time simulation of wind turbine driven doubly-fed induction generator (DFIG) which feeds ac power to the utility grid. For that, two pulse width modulated voltage source converters are connected back to back between the rotor terminals and utility grid via common dc link. It is found that there are so many limitations in the conventional contro...
Different types of permanent magnet generators for wind power application have been subject of research during last two decades. In this thesis different topologies of electrical generators have been investigated for small scale vertical axis wind turbine application. A two stage induction generator is proposed as a alternative solution with respect to the cost of such a system. However, a bigg...
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