摘要
针对电力系统稳定计算分析软件中水轮机调速系统模型过于简单、粗略的问题,建立了水轮机调速系统非线性模型,并提出参数实测与改进的粒子群智能优化算法结合的模型辨识方法,获得了调速器模型参数、水轮机-引水道模型参数。现场实测数据的模型仿真结果验证了该模型辨识方法的准确性,该模型优于电力系统稳定计算软件中的模型,更符合实际。
The model of water turbine governing system in power system stability calculation is simple and inaccurate. In this paper, a nonlinear model of water turbine governing system is established. And a model identification method in- tegrating parameter measurement with enhanced particle swarm optimization algorithm is proposed. As a result, the pa- rameters of governor model and water turbine and its water supply conduit model are obtained. The simulation results, compared with the field data, show that the proposed model is superior to the one used in the software of power system stability calculation, and that the model identification method is valid and valuable.
出处
《水电能源科学》
北大核心
2011年第12期124-127,共4页
Water Resources and Power
关键词
水轮机调速系统
粒子群算法
参数实测
系统辨识
建模
仿真
water turbine governing system
particle swarm optimization
parameter measurement
system identification
modeling
simulation
