基于模糊lqr控制器的电池储能混合风力发电电能质量控制

H. Ko, T. Niimura, J. Jatskevich, H. C. Kim, K. Y. Lee
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引用次数: 19

摘要

本文提出了一种具有电池储能的风力混合动力系统的建模与控制设计。该控制方案基于Takagi-Sugeno模糊模型和线性二次型调节器。Takagi-Sugeno模糊模型通过语言规则划分的子系统来表达非线性系统的局部动力学。各子系统的控制器采用线性二次型调节器设计。在仿真研究中,将该控制器与比例积分(PI)控制器进行了比较。仿真结果表明,该控制器比PI控制器更有效地抑制风速和负荷变化引起的扰动。从而达到更好的风混合动力系统的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power quality control of hybrid wind power generation with battery storage using fuzzy-LQR controller
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.
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