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基于改进粒子群算法的水轮发电机组PID调速器参数优化
引用本文:方红庆,沈祖诒.基于改进粒子群算法的水轮发电机组PID调速器参数优化[J].中国电机工程学报,2005,25(22):0-124.
作者姓名:方红庆  沈祖诒
作者单位:河海大学电气工程学院,江苏省,南京市,210098
摘    要:文中提出一种改进的PSO优化算法,并将该算法应用于水轮发电机组PID调速器参数的优化设计,以水轮发电机组转速偏差的ITAE指标作为改进PSO优化算法的适应度函数.以我国某水电站的真实数据对经过优化后的PID控制规律进行计算机仿真.仿真结果表明利用改进PSO优化算法优化的PID控制规律能有效改善孤网运行条件下水轮机调节系统过渡过程的动态性能.

关 键 词:粒子群优化算法  群智能  水轮发电机组  调速器  PID参数优化  ITAE指标  水力过渡过程
文章编号:0258-8013(2005)22-0120-05
收稿时间:2005-10-10
修稿时间:2005年10月10

OPTIMAL HYDRAULIC TURBOGENERATORS PID GOVERNOR TUNING WITH AN IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM
FANG Hong-qing,SHEN Zu-yi.OPTIMAL HYDRAULIC TURBOGENERATORS PID GOVERNOR TUNING WITH AN IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM[J].Proceedings of the CSEE,2005,25(22):0-124.
Authors:FANG Hong-qing  SHEN Zu-yi
Abstract:An improved PSO algorithm was presented and applied to optimal the PID gains tuning of hydraulic turbogenerators speed governor. The ITAE criterion of hydraulic turbogenerators speed errors was taken as the fitness function of the improved PSO algorithm. The digital simulation results performed on an actual hydropower plant in China indicate that the PID control law optimised by the improved PSO algorithm can effectively improve the dynamic performance of hydraulic transients with fast response and strong robustness especially on isolated operation conditions.
Keywords:Particle Swarm Optimization(PSO)  Swarm Intelligence  Hydraulic Turbogenerators  Speed Governor  PID Tuning  ITAE  Hydraulic Transients
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