Design and implementation of interval type-2 fuzzy logic-PI based adaptive controller for DFIG based wind energy system

2020 ◽  
Vol 115 ◽  
pp. 105468 ◽  
Author(s):  
Kanasottu Anil Naik ◽  
Chandra Prakash Gupta ◽  
Eugene Fernandez
Keyword(s):  
Fuzzy Logic ◽  
Wind Energy ◽  
Adaptive Controller ◽  
Energy System ◽  
Design And Implementation ◽  
Wind Energy System ◽  
Interval Type

scholarly journals Advanced Type-2 fuzzy logic–based pitch-angle control strategy for wind energy system

2019 ◽  
Vol 44 (1) ◽  
pp. 75-92
Author(s):  
Kanasottu Anil Naik ◽  
Chandra Prakash Gupta ◽  
Eugene Fernandez
Keyword(s):  
Fuzzy Logic ◽  
Wind Energy ◽  
Pitch Angle ◽  
Fuzzy Logic Controller ◽  
Equilibrium Points ◽  
Energy System ◽  
Rotor Speed ◽  
Wind Energy System ◽  
Fuzzy Logic Technique

In general, pitch-angle controller regulates the generator output power when the wind speed exceeds the rated wind turbine speed. Besides this, it can also be employed to stabilize the wind energy system rotor speed during the transient disturbances. In this article, therefore, a logical pitch-angle controller strategy (in power and speed control modes) has been developed and an interval Type-2 fuzzy logic technique is proposed to design the controller. To evaluate the effectiveness of the Type-2 fuzzy logic–based pitch-angle controller, the simulations have been carried out for severe network faults and fluctuating wind conditions, and the results are compared with conventional proportional–integral and fuzzy logic controller (called as Type-1 fuzzy logic controller). Moreover, some key factors that affect the transient stability of wind generator have also been investigated. The electrical torque and mechanical torque versus rotor speed results are obtained under different pitch-angle conditions, and the concept of stable and unstable electrical–mechanical equilibrium points is established.

Fuzzy logic control based maximum power tracking of a wind energy system

2001 ◽  
Vol 23 (2) ◽  
pp. 235-245 ◽  
Author(s):  
Amal Z. Mohamed ◽  
Mona N. Eskander ◽  
Fadia A. Ghali
Keyword(s):  
Fuzzy Logic ◽  
Wind Energy ◽  
Fuzzy Logic Control ◽  
Energy System ◽  
Maximum Power ◽  
Logic Control ◽  
Wind Energy System ◽  
Maximum Power Tracking

scholarly journals Study of Grid Connected Wind Energy System with Fuzzy Logic Based MPPT Controller

2018 ◽  
Vol 7 (4) ◽  
pp. 251
Author(s):  
Jayalakshmi N. S ◽  
Sachin S
Keyword(s):  
Fuzzy Logic ◽  
Wind Energy ◽  
Fuzzy Logic Controller ◽  
Reactive Power ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Voltage Regulation ◽  
Control Technique ◽  
Point Tracking ◽  
Wind Energy System

<p>Renewable energy sources (RESs) are gaining more importance due to depleting fossil fuel sources in few decades. When compared to other RESs wind energy system is widely available and user friendly in nature. This paper presents modelling and simulation of grid connected PMSG based wind energy conversion system with P&amp;O maximum power point tracking (MPPT) control technique.  The PQ controller is used for grid tied inverter to exchange real and reactive power with DC bus voltage regulation. The fuzzy logic controller (FLC) is used for MPPT implementation as it provides better performance as compared to the traditional PID controllers. The various case studies are considered for power management between wind system and the utility grid and the results are evaluated in MATLAB/ Simulink platform.</p>

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