Control of PMSG based variable speed wind energy conversion system connected to the grid with PI and ADRC approach

Abstract

<jats:p>This paper presents the modeling and simulation of wind energy Conversion System using the Permanent Magnet Synchronous Generator (PMSG). &lt;br /&gt; The objectives are: to extract the maximum power of the wind speed by controlling the electromagnetic torque of the PMSG, to maintain constant the DC-link voltage despite the wind speed variations and to attain the unity power factor. In order to ensure a regulation with high performance and a good robustness against the internal and the external disturbances, a new control strategy called the Active Disturbance Rejection Control (ADRC) is used. Therefore, the Analysis and simulation of the ADRC and PI controllers are developed with MATLAB/Simulink software. The performance of these controllers is compared in term of references tracking, robustness &lt;br /&gt; and grid faults.</jats:p>

Generator and grid side converter control for wind energy conversion system

“…Where (V g.d , V g.q ) are grid voltages of d-q axes, (V d , V q ) designate the direct and quadrature components of the output inverter, (I g.d , I g.q ) represent the grid currents along d and q axes, R f and L f represent respectively the resistance and the inductance of the filter, ω g represents the angular frequency, C is the capacitance of the capacitor, U dc represents the DC voltage of the capacitor, I dc.s is the current of the SSC output to the DC link and I dc.g is the current of the DC link output to the grid. The following two equations represent respectively the formulas relating to the active and reactive power [18]:…”

Augmented robust T-S fuzzy control based PMSG wind turbine improved with H∞ performance

“…Furthermore, there is the possibility to avoid gearbox connection to the turbine. It will result in high dynamic performance, and high power with a wide operating [2], [3]. As is well known, the complex dynamic behavior describing wind turbine systems, suggests robust control strategies to achieve the desired performance and ensure high stability [4], [5].…”

Controller design for PV experimental bench with ADRC strategy supervised by Labview created interface

“…Unlike many existing control methods, the ADRC does not require the accurate mathematical model of the plant. Moreover, selecting the plant order n of the ADRC is quite flexible which make this control more convenient to apply in many control systems [10]- [12]. The method involves three blocks: differentiator trackers (DT), feedback controller (FC), and extended state observer (ESO) which is the main part of the command [12]- [13].…”

“…Moreover, selecting the plant order n of the ADRC is quite flexible which make this control more convenient to apply in many control systems [10]- [12]. The method involves three blocks: differentiator trackers (DT), feedback controller (FC), and extended state observer (ESO) which is the main part of the command [12]- [13]. An implementation is ensured under an electronic platform board (Arduino Mega) with a novel control application developed in Labview environment which provided a real time operation and supervision, a practical user interface, and more other abilities.…”