期刊文献+

基于改进粒子群算法的水轮发电机组PID调速器参数优化 被引量:73

OPTIMAL HYDRAULIC TURBOGENERATORS PID GOVERNOR TUNING WITH AN IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM
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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。 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.
出处 《中国电机工程学报》 EI CSCD 北大核心 2005年第22期120-124,共5页 Proceedings of the CSEE
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 Particle Swarm Optimization(PSO) Swarm Intelligence Hydraulic Turbogenerators Speed Governor PID Tuning ITAE Hydraulic Transients
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参考文献15

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二级参考文献74

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