Proceedings ArticleDOI
A new maximum power point tracking technique for wind power conversion systems
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In this article, a sensorless maximum power point tracking (MPPT) technique is introduced for wind power conversion applications based on a modified variable step hill climb search (HCS) method.Abstract:
A new sensor-less maximum power point tracking (MPPT) technique is introduced for wind power conversion applications. This new technique is founded upon a modified variable step hill climb search (HCS) method. The modifications are made, based on a simple and novel idea. The step sizes of the hill climbing technique are varied throughout the MPPT operation, entirely independent of the wind speed and the rotor speed, without requirement for any prior information of the wind power conversion system's parameters and configurations. These features make this new technique applicable on different kinds of wind power conversion systems. The novel method introduced in this study, exhibits very fast performance and high accuracy in sensing wind speed variations as well as maintaining its performance under extreme conditions, such as high wind disturbances. Computer simulations are performed in order to evaluate the new technique and the results support the feasibility of the presented MPPT technique.read more
Citations
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Journal ArticleDOI
Maximum Power Point Tracking Based Hybrid Hill-climb Search Method Applied to Wind Energy Conversion System
TL;DR: In this article, a hybrid hill-climb search method is proposed to solve the problem of wrong directionality under rapid wind change, which consists of combining the optimal torque control and hill climbing search methods, and is applied to a wind energy conversion system based on a permanent magnet synchronous generator under a wind speed profile.
Journal ArticleDOI
Artificial neural controller for torque ripple control and maximum power extraction for wind system driven by switched reluctance generator
TL;DR: In this paper, a modified toque ripple minimization algorithm of four phases 8/6 poles Switched Reluctance Generator (SRG) using Artificial Neural Network (ANN) control is presented.
Proceedings ArticleDOI
A Review on Various MPPT Techniques for Wind Energy Conversion System
TL;DR: P perturb and observe, Incremental Conductance and Fuzzy logic control algorithms along with mechanical MPPT algorithms track the maximum power for varying wind conditions, which maximizes power output.
Proceedings ArticleDOI
Design of switched reluctance generator system for wind power maximization
TL;DR: In this article, a switched reluctance generator (SRG) system is established for wind power generation, which includes an asymmetric half-bridge power convertor, a 12/8 three-phase SRG and control circuits which is dominated by a digital controller dsPIC30F6010A.
Dissertation
Development of fast multi-system simulation models for permanent magnet synchronous motor and generator drive systems
TL;DR: In this paper, the average voltage estimation model (AVEM) is used to estimate and simulate the energy output of the variable speed PMSG wind energy conversion system and a variable voltage source inverter fed permanent magnet synchronous motor and generator drive systems.
References
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Journal ArticleDOI
Design of a maximum power tracking system for wind-energy-conversion applications
TL;DR: Experimental results of the proposed MPPT system indicate near-optimal WG output power, increased by 11%-50% compared to a WG directly connected via a rectifier to the battery bank, and better exploitation of the available wind energy is achieved, especially under low wind speeds.
Journal ArticleDOI
Optimum control strategies in energy conversion of PMSG wind turbine system without mechanical sensors
K. Tan,Syed Islam +1 more
TL;DR: In this paper, the authors proposed a sensorless control strategy for a 20-kW permanent magnet synchronous generator (PMSG) for maximum power tracking and compared with the results produced by previous strategies.
Journal Article
Optimum control strategies in energy conversion of PMSG wind turbine system without mechanical sensors (vol 19, pg 399, 2004)
Journal ArticleDOI
An intelligent maximum power extraction algorithm for inverter-based variable speed wind turbine systems
Quincy Wang,Liuchen Chang +1 more
TL;DR: In this paper, an intelligent maximum power extraction algorithm is developed by the authors to improve the system performance and to facilitate the control implementation, where an advanced hill-climb searching method is developed to take into account the wind turbine inertia.
Journal ArticleDOI
Fuzzy logic based intelligent control of a variable speed cage machine wind generation system
TL;DR: A variable speed wind generation system where fuzzy logic principles are used for efficiency optimization and performance enhancement control and the complete control system has been developed, analyzed, and validated by simulation study.
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