摘要
针对高压互联网络频率协调困难,而自动发电控制存在控制跟踪性能差、参数最优值获取难、优化效果不明显等问题,提出了一种基于模拟退火粒子群寻优算法的闭环反馈自动发电控制。改进后的寻优算法结合了模拟退火和粒子群算法的优点,通过该算法对控制器关键参数进行寻优以使区域控制偏差值最小。由MATLAB/Simulink仿真分析验证了四机两区域模型联络线发生故障时,改进参数的闭环反馈AGC控制器能较快地使系统恢复稳定,且能较好地达到频率协调的控制作用。
Due to the difficulty of the frequency coordination in high voltage interconnection network and the problems of poor tracking performance,difficult parameter optimization and poor optimization effect,a closed-loop feedback automatic generation control based on simulated annealing and particle swarm optimization algorithm is proposed.The improved optimization algorithm combines the advantages of simulated annealing and particle swarm optimization,and optimizes the key parameters of the controller to minimize the value of area control error,so that the system can recover stably quickly.The simulation results of MATLAB/Simulink verify that the closed loop feedback AGC controller with improved parameters can restore the stability of the system quickly and achieve the control effect of frequency coordination when the tie-line of the four-machine two-area model fails.
作者
刘志坚
陈潇雅
Liu Zhijian;Chen Xiaoya(Kunming University of Science and Technology,Kunming 650500,China)
出处
《电子测量技术》
2019年第5期11-17,共7页
Electronic Measurement Technology
基金
国家自然科学基金(51007034)
云南省自然科学基金(2010CD023)
昆明理工大学人才引培项目(2011-03)资助
关键词
自动发电控制
区域控制偏差
模拟退火粒子群寻优算法
参数优化
闭环反馈
automatic generation control
area control error
simulated amealing-particle swarm optimization(SA-PSO)
parameter optimization
closed loop feedback
