Volume 14, Issue 3 (September 2018)                   IJEEE 2018, 14(3): 245-258 | Back to browse issues page

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Chikha S. Active and Reactive Power Management of Wind Farm Based on a Six Leg Tow Stage Matrix Converter Controlled by a Predictive Direct Power Controller. IJEEE. 2018; 14 (3) :245-258
URL: http://ijeee.iust.ac.ir/article-1-968-en.html
Abstract:   (1878 Views)
In this paper we propose a new configuration of the wind farm connecting with an electrical grid. The proposed Wind Energy Conversion System (WECS) is based on a two stages six-leg matrix converter using to drive a two Doubly Fed Induction Machines operating at different wind speeds. Each Doubly Fed Induction Generator (DFIG) is controlled through the rotor currents using the Finite Set Model Predictive Model (FS-MBC). The proposed control method selects the optimal switching state of the converter that minimizes the cost function where it represents the desired behavior of the system.  The optimal voltage vector is then applied to the output of the power converter. The most advantage of the proposed control is its simplicity in implementation, since the method avoids the use of any linear or nonlinear controllers except for the external speed loop and there is no need for any type of modulator such as in PWM or SVM modulation. A cost function is formulated according to desired performance such as regulation of the stator active and reactive powers of the DFIGs and reactive power in the filter side. The control algorithm selects and applies the optimal voltage vector to the DFIG rotor terminals. The supervision algorithm distributes the active and reactive power references in proportional way for each wind turbines. From a safety point, this algorithm provides each wind turbines still operate far from its limits. The performance of a six leg IMC in WECS chain is evaluated in term of a good tracking performance.
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Type of Study: Research Paper | Subject: System Dynamics and Control
Received: 2016/06/29 | Accepted: 2018/02/09 | Published: 2018/02/09

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© 2019 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.