DocumentCode
2517398
Title
Optimal PI Control of a Wind Energy Conversion System Using Particles Swarm
Author
Sánchez, Santiago ; Bueno, Maximiliano ; Delgado, Edilson ; Giraldo, Eduardo
Author_Institution
Res. Center Inst. Tecnol. Metropolitano, Medellin, Colombia
fYear
2009
fDate
22-25 Sept. 2009
Firstpage
332
Lastpage
337
Abstract
In order to get the maximum power from the wind, the variable-speed turbine should run at different speed when wind speed changes.The dynamic characteristics of the control system must be properly defined and designed to achieve satisfactory generated power quality and system security, availability and reliability. Therefore great attention has to be kept in the theoretical design task, as well as in the experimental validation phase, in order to assure the correct operation of the control system both in normal and in perturbed conditions. This paper presents the design of an PI controller, the control system is trained to find the gain of the regulator by minimizing the overshoot and the tracking error. The tuning problem is solved with optimizing by particles swarm; the speed of synchronous generator is controlled in the wind turbine, the system is connected to a chopper converter represented by a variable resistive load, the turbine uses the model of rigid axis. in order to development and test the control system the model in the system coordinate of the rotor is used.
Keywords
PI control; angular velocity control; machine control; optimal control; particle swarm optimisation; power generation control; synchronous generators; wind power plants; wind turbines; chopper converter; optimal PI control; overshoot error; particle swarm optimisation; synchronous generator speed control; tracking error; variable resistive load; variable speed turbine; wind energy conversion system; wind turbine; Character generation; Control systems; Pi control; Power generation; Power system reliability; Wind energy; Wind energy generation; Wind power generation; Wind speed; Wind turbines; Wind turbine; optimal control; particles swarm;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Robotics and Automotive Mechanics Conference, 2009. CERMA '09.
Conference_Location
Cuernavaca, Morelos
Print_ISBN
978-0-7695-3799-3
Type
conf
DOI
10.1109/CERMA.2009.41
Filename
5341968
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