Hyperbolic tangent function-based least mean-square control algorithm for distribution static compensator

Generation, Transmission & Distribution, IET  (2014)

引用 17|浏览2
暂无评分
摘要
A variable learning rate least mean-square (LMS) based on hyperbolic tangent function is used to enhance the rate of convergence and to suppress the existing noise in the system for the control of distribution static compensator (DSTATCOM) consisting of a three-leg voltage source converter (VSC) with a zig-zag transformer to eliminate the significant neutral current caused by non-linear unbalanced loads in a three-phase four-wire supply system. Simulation is made for the proposed control algorithm in three-phase four-wire DSTATCOM system and its performance is compared with the conventional Adaline-based LMS control algorithm. It is also shown that the convergence rate of the proposed control algorithm is quite faster in comparison with the conventional control algorithm. A prototype of DSTATCOM is developed and the real-time implementation of the proposed control algorithm is performed on a digital signal processor. Test results have demonstrated the satisfactory performance of DSTATCOM with the proposed control algorithm under linear and non-linear loads.
更多
查看译文
关键词
digital signal processing chips,least mean squares methods,noise abatement,phase control,power convertors,power distribution control,power transformers,static var compensators,voltage control,adaline-based lms control algorithm,vsc,digital signal processor,distribution static compensator,hyperbolic tangent function-based least mean-square control algorithm,neutral current elimination,noise suppression,nonlinear unbalanced load,three-leg voltage source converter,three-phase four-wire dstatcom supply system,variable learning rate least mean-square,zig-zag transformer,zig zag transformer
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要