Title :
Fuzzy controller based output power leveling enhancement for a permanent magnet synchronous generator
Author :
Howlader, Abdul Motin ; Urasaki, N. ; Chakraborty, Shiladri ; Yona, Atsushi ; Senjyu, Tomonobu ; Saber, Ahmed Yousuf
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of the Ryukyu, Okinawa, Japan
Abstract :
Due to irregular wind velocity, the output power of a wind turbine generator system (WTGS) is fluctuated. There are many methods to propose to generate smooth output power of a wind turbine. For example, energy storage devices, electric double layer capacitors, flywheels are well-known. But these methods are required a significant extra cost for installation and maintenance. In recent years, some researches have been conducted to generate smooth output power by using inertia or by controlling kinetic energy of a wind turbine. The major benefit of this method, it does not require extra energy storage to generate smooth output power. So, it can reduce of a system cost significantly. But this method is reduced output power radically at the steady wind velocity as compare with maximum power point tracking (MPPT) control method. To overcome this problem, this paper is proposed a fuzzy controller based output power smoothing method by controlling kinetic energy of a wind turbine. The generator electrical speed is controlled by the proposed method that helps to generate efficient smooth output power at different wind speeds. The proposed method is compared with conventional method and MPPT control method. The effectiveness of the proposed method is verified by MATLAB SIMULINK with SimPowerSystems and Fuzzy Logic Toolbox.
Keywords :
fuzzy control; machine control; permanent magnet generators; power control; synchronous generators; wind power plants; wind turbines; MATLAB; SIMULINK; SimPowerSystems; fuzzy controller; fuzzy logic toolbox; kinetic energy control; maximum power point tracking control method; output power leveling enhancement; permanent magnet synchronous generator; smooth output power generation; wind turbine generator system; Generators; Kinetic energy; Power smoothing; Wind speed; Wind turbines; fuzzy controller; inertia; kinetic energy; power leveling; wind turbine generator system;
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7315-1
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2011.6007417