首页 | 本学科首页   官方微博 | 高级检索  
     

基于差分进化机理优化的PID控制的AVR系统
引用本文:王荣杰,詹宜巨,周海峰,崔博文.基于差分进化机理优化的PID控制的AVR系统[J].电力系统保护与控制,2015,43(24):108-114.
作者姓名:王荣杰  詹宜巨  周海峰  崔博文
作者单位:集美大学轮机工程学院,福建 厦门 361021;福建省船舶与海洋工程重点实验室,福建 厦门 361021;中山大学工学院,广东 广州 510006;集美大学轮机工程学院,福建 厦门 361021;集美大学轮机工程学院,福建 厦门 361021
基金项目:国家自然科学基金项目(51309116,51179074); 福建省教育厅杰青项目(JA14169); 人工智能四川省重点实验室开放课题 (2014RYJ03); 集美大学科研基金资助项目 (ZQ2013001, ZC2013012)
摘    要:在现代电力系统工程中,电力系统的动态稳定已成为目前一个极具挑战性的问题。同步发电动机励磁控制是加强电力系统稳性和保证电力质量的最重要的装置,但它的转子与其他部分之间的机电耦合会产生类似阻尼系统中出现的弹簧式的振荡现象。对此,提出一种基于差分进化机理优化的PID控制的自动电压调节系统。首先将多变异策略和优劣淘汰机制引入到差分进化算法中,然后由新的差分进化机理调节PID参数,从而实现由PID自适应地控制自动电压调节系统的目的。仿真结果表明了该调节系统的可行性,同时它比其他系统具有更好的动态响应性能。

关 键 词:自动电压调节  PID控制器  差分进化  多变异策略  同步发电机
收稿时间:2015/2/15 0:00:00
修稿时间:2015/6/16 0:00:00

PID controlled AVR system based on differential evolution mechanism optimization
WANG Rongjie,ZHAN Yiju,ZHOU Haifeng and CUI Bowen.PID controlled AVR system based on differential evolution mechanism optimization[J].Power System Protection and Control,2015,43(24):108-114.
Authors:WANG Rongjie  ZHAN Yiju  ZHOU Haifeng and CUI Bowen
Affiliation:Marine Engineering Institute, Jimei University, Xiamen 361021, China; Fujian Provincial Key Laboratory of Naval Architecture and Ocean Engineering, Xiamen 361021, China;School of Engineering, Sun Yat-sen University, Guangzhou 510006, China;Marine Engineering Institute, Jimei University, Xiamen 361021, China;Marine Engineering Institute, Jimei University, Xiamen 361021, China
Abstract:The stability problem of dynamic stability of power system has a challenge in modern power system engineering. Synchronous generator excitation control is one of the most important measures to improve power system stability and to guarantee the quality of electrical power it provides. In a synchronous generator, the electrometrical coupling between the rotor and the rest of the system causes it to behave in a manner similar to a damper system. Therefore, we consider the problem of enhancing the stability of PID controlled automatic voltage regulator based on differential evolution mechanism optimization. Firstly, the multi-mutation strategies and worst one elimination system are integrated into differential evolution algorithm. Then parameters of PID are self-adjusted by using improved differential evolution mechanism, so as to realize self-tuning of automatic voltage regulator. The simulation results show that the proposed method can get better dynamic respond behavior than other conventional methods.
Keywords:automatic voltage regulator  PID controller  differential evolution  multi-mutation strategy  synchronous generator
本文献已被 CNKI 等数据库收录!
点击此处可从《电力系统保护与控制》浏览原始摘要信息
点击此处可从《电力系统保护与控制》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号