摘要
为解决统一电能质量调节器(Unified Power Quality Conditioner,UPQC)直流侧电压稳定控制问题,提出一种基于大脑情感学习的智能控制器(Brain Emotional Learning Based Intelligent Controller,BELBIC)新型控制策略。基于背靠背脉宽调制(Pulse Width Modulation,PWM)变流器结构的UPQC电路系统,采用开关函数描述方法建立并联补偿控制和串联补偿控制电路的数学模型。根据大脑情感学习(Brain Emotional Learning,BEL)计算模型的结构特点和作用机理,提出基于BELBIC智能控制的UPQC系统多目标控制框图。仿真及实验结果表明可以实现电流和电压的补偿输出,直流侧电压稳定,系统具有良好的动静态特性,验证了所提方法的正确性和有效性。
To solve the control problem of DC link voltage stability for unified power quality conditioner （UPQC）, a novel control strategy is presented using brain emotional learning based intelligent controller （BELBIC）. The parallel compensation and series compensation convener mathematical models are established by switching function description method for UPQC system that consists of two pulse width modulation （PWM） converters connected back-to-back on the DC side. According to the structure and emotion-processing mechanism of brain emotional learning （BEL） computational model, a multi-objective control block diagram is proposed for UPQC device based on intelligent controller BELBIC. The simulation and experimental results indicate the UPQC system achieves the DC link voltage stabilization and output compensation for reactive current and active voltage. The UPQC has good dynamic and static performance. The results verify the correctness and effectiveness of this method.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2013年第20期118-124,共7页
Power System Protection and Control
基金
广西科技攻关计划项目(桂科攻1348007-4)
广西教育厅科研项目(201204LX015)
南宁市科技攻关与新产品试制项目(201107002A)
关键词
电能质量调节器
PWM变流器
大脑情感学习
智能控制器
直流侧电压
power quality conditioner
pulse width modulation （PWM） converter
brain emotional learning （BEL）
intelligent controller
DC link voltage
