中高速水电机组调节系统非线性模型建模及仿真

发布时间：2018-05-11 04:26

本文选题：650MW水轮机组 + 水电机组调节系统　；参考：《华北电力大学》2014年硕士论文

【摘要】：水电机组调节系统是一个水、机、电相互影响、相互制约的复杂非线性系统，它的基本任务是根据电网频率的变化实时调节机组有功功率的输出，维持机组转速在额定范围内，，来保证电能频率的稳定，其控制品质直接关系到水电站和与之相连的整个电力系统的安全运行、电能质量。随着大量大型机组的投运，水电站在电网中扮演着越来越重要的角色，这对水电站调节系统的动态品质有了更高的要求。由于常用的水轮机线性模型不适用于大波动、大容量的水轮机组，建立稳定性能更好、适应能力更强的非线性模型对水力发电研究显得尤为重要。本文介绍了目前水电机组调节系统的仿真测试研究现状，针对云南片区电网以大水电机组为主的特点，选择云南某水电站650MW混流式机组作为建模对象。采用机理建模的方法在Matlab/Simulink工具箱下搭建出该水电站调节系统的非线性模型。并分别对空载频率扰动、负荷扰动以及甩负荷工况进行仿真，仿真结果和现场工况曲线进行对比，验证了建立的水轮机非线性模型的正确性、可靠性。最后，本文分析了相关参数变化对调节系统动态响应品质的影响，选取粒子群算法（PSO）对水轮机非线性模型进行优化，提高了模型动态品质，使其能更好的跟踪、反应现场实际情况。
[Abstract]:The regulation system of hydropower unit is a complex nonlinear system with the interaction of water, machine and electricity. Its basic task is to adjust the output of active power according to the change of power network frequency in real time, and to maintain the speed of the unit in the rated range. To ensure the stability of power frequency, its control quality is directly related to the safe operation and power quality of hydropower station and the whole power system connected with it. With the operation of a large number of large units, hydropower stations play an increasingly important role in the power network, which has a higher demand for the dynamic quality of the hydropower station regulation system. Because the commonly used linear model of hydraulic turbine is not suitable for large fluctuation, it is very important to establish a nonlinear model with better stability and better adaptability for the study of hydroelectricity generation. This paper introduces the present situation of simulation and test of hydropower unit regulation system. According to the characteristics of large hydropower units in Yunnan power grid, the 650MW mixed flow unit of a hydropower station in Yunnan Province is selected as the modeling object. The nonlinear model of the regulation system of the hydropower station is built under the Matlab/Simulink toolbox by the method of mechanism modeling. The simulation results of no-load frequency disturbance, load disturbance and load rejection are compared with the field working state curve. The correctness and reliability of the established nonlinear model are verified. Finally, this paper analyzes the influence of the change of parameters on the dynamic response quality of the regulating system, selects PSO (particle swarm optimization algorithm) to optimize the nonlinear model of the turbine, improves the dynamic quality of the model and makes it track better. The actual situation of the reaction site.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TV734

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