电力系统保护与控制Issue(24)：108-114,7.
基于差分进化机理优化的PID控制的AVR系统
PID controlled AVR system based on differential evolution mechanism optimization
摘要
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. <br> This work is supported by National Natural Science Foundation of China (No. 51309116 and No. 51179074).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Key words
automatic voltage regulator/PID controller/differential evolution/multi-mutation strategy/synchronous generator分类
信息技术与安全科学引用本文复制引用
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,(24):108-114,7.基金项目
国家自然科学基金项目(51309116,51179074) （51309116,51179074）
福建省教育厅杰青项目(JA14169) （JA14169）
人工智能四川省重点实验室开放课题(2014RYJ03) （2014RYJ03）
集美大学科研基金资助项目(ZQ2013001, ZC2013012) （ZQ2013001, ZC2013012）
