Title :
Power quality control of hybrid wind power generation with battery storage using fuzzy-LQR controller
Author :
Ko, H.S. ; Niimura, T. ; Jatskevich, J. ; Kim, H.C. ; Lee, K.Y.
Author_Institution :
Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC, Canada
Abstract :
This work presents a modeling and control design for a wind-hybrid power system with a battery storage. The proposed control scheme is based on the Takagi-Sugeno fuzzy model and the linear quadratic regulator. The Takagi-Sugeno fuzzy model expresses the local dynamics of a nonlinear system through subsystems partitioned by linguistic rules. The controllers for each subsystem are designed by the linear quadratic regulator. In the simulation study, the proposed controller is compared with the proportional-integral (PI) controller. The simulation results show that the proposed controller is more effective than the PI controller against disturbances caused by wind speed and load variation. Thus, better quality of the wind-hybrid power system is achieved.
Keywords :
PI control; fuzzy control; hybrid power systems; linear quadratic control; nonlinear control systems; power convertors; power generation control; power supply quality; secondary cells; wind power plants; PI controller; Takagi-Sugeno fuzzy model; battery storage; control design; converter; linear quadratic regulator; load variation; nonlinear dynamic system; proportional-integral controller; wind speed; wind-hybrid power system; Batteries; Hybrid power systems; Pi control; Power quality; Power system dynamics; Power system modeling; Power system simulation; Regulators; Takagi-Sugeno model; Wind power generation;
Conference_Titel :
Power Engineering Society General Meeting, 2004. IEEE
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-8465-2
DOI :
10.1109/PES.2004.1373171