遗传算法在UPFC的PID控制器参数优化中应用  

Application of GA in PID parameter optimization in UPFC

作　　者：吴红斌[1] 杨仪松[2] 丁明[1] 张一山[1] 

机构地区：[1]合肥工业大学电气与自动化工程学院,安徽合肥230009 [2]国电自动化研究院,江苏南京210003

出　　处：《电力自动化设备》2007年第2期24-27,共4页Electric Power Automation Equipment

基　　金：国家自然科学基金项目(50607002)~~

摘　　要：阐述了统一潮流控制器(UPFC)的原理及其控制器设计,采用串联侧输出电压、并联侧输出电流的横向分量和纵向分量为控制量,建立了比例积分(PI)控制时的系统方程。以含UPFC的单机无穷大系统进行仿真,结果表明UPFC可提高系统暂态稳定性。利用遗传算法对PID控制器参数进行优化,采用偏差绝对值对时间的积分性能指标作为最小目标函数,同时加入控制输入的平方项并引入惩罚功能,以防止控制能量过大和超调。仿真结果显示,参数优化后系统暂态过程变短,相关量的波动降低,进一步提高了系统的暂态稳定性能。The principle and control design of UPFC （United Power Flow Controller） are expounded. The system equation of PI （Proportional Integral） controller is set up by using the horizontal and vertical components of series output voltage and shunt output current as control inputs. The simulation on a one-machine to infinite-bus system with UPFC shows that UPFC can improve system transient stability. The genetic algorithm is used to optimize PID controller parameters,in which the minimal objective function adopts the integral characteristic value of absolute error to time. Punishment functions are introduced to avoid over control energy and overshoot by adding the square of control input. Simulation results show that the controller parameter optimization makes the transient process shorter, the variable fluctuation smaller and the transient stability better.

关 键 词：统一潮流控制器 PID控制 遗传算法 暂态稳定 

分 类 号：TM712[电气工程—电力系统及自动化]