A Simple Methodology for Optimal Fuzzy Control of DFIG Based Wind Turbine

Kasbi, Abdellatif; Rahali, Abderrafii

doi:10.1109/iraset48871.2020.9092031

Cited by 2 publications

(6 citation statements)

References 6 publications

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“…Consequently, such WPCS has reduced static power converters cost. In addition, the harmonics produced on the power converters level represents a littler fraction of total system harmonics 1,2,6 …”

Section: Fundamentals Of Wind Power Conversion System Based On Dfigmentioning

confidence: 99%

“…It is a function of the tip speed‐ratio (TSR) λ and pitch angle β [deg]. An expression example usually used to model C p is expressed by 2,20 :

C_{p} ((),, λ, β) = 0.5176 ((), \frac{116}{{normalλ}_{normali}} - 0.4 normalβ - 5) \exp ((), \frac{21}{λ_{i}}) + 0.0068 normalλ

In (2) λ i denotes the internal wind‐tip‐ratio, which is given by:

\frac{1}{{normalλ}_{normali}} = \frac{1}{normalλ + 0.08 normalβ} - \frac{0.035}{β^{3} + 1}

…”

Section: Fundamentals Of Wind Power Conversion System Based On Dfigmentioning

confidence: 99%

“…Because climate change continues, the forecasted exhaustion of fossil fuels, and the always increasing demand for electrical energy in our daily lives, renewable energy sources have emerged as one such best solution to produce electrical energy without greenhouse emissions during their function stage. Among such renewable sources, wind energy represents a promising generation alternative and can take part in resolving global warming 1,2 …”

Section: Introductionmentioning

confidence: 99%

“…So far, several different control strategies have been designed to control DFIG operating in the wind power conversion system. One of these control strategies is the more used ones in the vector control technology, which obtains very good application in DFIG since it can achieve real power and reactive power decoupled control 1,2,7‐12 . Due to the simple functionality, the several tuning methods, the acceptable performances in a vast range of operating conditions, and their clear structures, the standard PI controllers are broadly used in vector control diagrams 7,10,13‐16 .…”

Section: Introductionmentioning

confidence: 99%

“…Due to the simple functionality, the several tuning methods, the acceptable performances in a vast range of operating conditions, and their clear structures, the standard PI controllers are broadly used in vector control diagrams 7,10,13‐16 . However, the performance of these standard PI controllers degrades and cannot still effectively control DFIG‐generator since the dynamic of the wind power system is nonlinear and characterized by many uncertainties such as the parameter uncertainties and the unknown disturbances 2,11,17‐21 …”

Section: Introductionmentioning

confidence: 99%

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Adaptive FOPI controller based on the fuzzy supervisory for wind power conversion system equipped by a doubly fed induction generator

Kasbi

Rahali

2021

Int Trans Electr Energ Syst

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Summary Wind power systems have non‐linear dynamics and contain many uncertainties such as the parametric uncertainty and the unknown external disturbances. For these reasons, it is a crucial task to design the robust control systems to assure a robust response of wind systems during uncertainties without deteriorating the supplied power quality or stressing the static power converters. This paper designs an adaptive fractional‐order proportional‐integral (FOPI) control system for a wind power conversion system (WPCS) equipped by a doubly fed induction generator (DFIG) in the electric power grid (EPG) connected mode. The designed adaptive control system combines the robust and intelligent nature of the fuzzy supervisory system (FSS) and simple structure of FOPI controller, where the fuzzy rules are utilized to adjust the FOPI controller parameters based on the error and its rate, resulting in an adaptive fuzzy FOPI (AFFOPI) control system, which can keep the control action touch of the standard FOPI controller and, at the same time, provides the robustness during uncertainties without effect on the power quality supplied to the EPG. Pursuant to the vector control technology of the DFIG, the designed adaptive fuzzy FOPI controllers are applied in both the external loop of power control and in the internal loop of rotor current control, simultaneously. The feasibility of the presented adaptive FOPI control is validated through the numerical results obtained, under different running conditions, using the Matlab/Simulink software.

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Section: Fundamentals Of Wind Power Conversion System Based On Dfigmentioning

confidence: 99%

“…It is a function of the tip speed‐ratio (TSR) λ and pitch angle β [deg]. An expression example usually used to model C p is expressed by 2,20 :