电测与仪表2016，Vol.53Issue(13)：30-36,7.
基于神经网络逆系统方法的链式STATCOM线性化解耦控制
Linearization decoupling control of cascaded STATCOM based on the method of artificial neural networks inverse system
刘庆锋 1粟时平 1刘桂英 1吕超1
作者信息
- 1. 长沙理工大学电气与信息工程学院，长沙410114
- 折叠
摘要
Abstract
Aiming at the control problem of cascaded STATCOM to compensate the load reactive current and stabilize the grid voltage, this paper establishes dynamic mathematics model of cascaded STATCOM, and obtains the relation-ship of the two variablesδ、M and current, then proposes a control method based on artificial neural networks inverse system.The linearization decoupling control of active and reactive current of cascaded STATCOM is realized through the verification of reversibility, construction of artificial neural networks as well as the design of control system for the system of cascaded STATCOM.Finally, the simulation results show that the control strategy acquires good dynamic effect and static effect when switching inductive load into capacitive load or in turn, which makes the device possess better performance to resist parameters change and load disturbance, thereby, it illustrates the effectiveness and the feasibility of the control strategy.关键词
链式STATCOM/神经网络逆系统/线性化解耦控制/双变量Key words
cascaded STATCOM/neural networks inverse system/linearization decoupling control/double variable分类
信息技术与安全科学引用本文复制引用
刘庆锋,粟时平,刘桂英,吕超..基于神经网络逆系统方法的链式STATCOM线性化解耦控制[J].电测与仪表,2016,53(13):30-36,7.
