摘要随着现代电力系统的发展，负荷建模计算日益成为阻碍电力系统分析计算精度的主要制约因素。虽然负荷建模任务艰巨，但是仍然是当前电力界研究的主要任务之一。本文主要完成了两项任务，第一，利用MATLAB/Simulink仿真软件完成了三相交流异步电动机的建模并进行了性能分析；第二，基于递推最小二乘法，对上面所建的电动机模型进行参数辨识。在较为理想的假设条件下，所建的电动机模型空载起动及有载运行状态良好，而且也以较小的误差完成了异步电动机的参数辨识任务，同时通过多种思路对辨识结果进行了对比分析。虽然本文完成了任务，但是这毕竟是仿真计算，还有很多外界因素没有考虑，通常情况下，电动机的运行环境远比这要恶劣，因此，还有很多路需要探索。64279

毕业论文关键字　异步电动机建模　参数辨识　MATLAB/Simulink　递推最小二乘法

毕业设计说明书（论文）外文摘要

Title    Load modeling for power system  

Abstract With the development of modern power system, the analytical and computational accuracy of power system is increasingly restricted by load modeling for power system. Although the task of load modeling is quite tough, it is still one of primary missions in power system area. In this paper, two tasks are done. Firstly, three-phase AC asynchronous motor modeling is completed by using simulation software of MATLAB/Simulink, and its performance is analyzed. Secondly, based on recursive least square method, parameter identification of the above motor model is carried on. Under the relatively ideal assumed condition, not only are no-live load starts and on load operation of the motor model always in good condition, but also parameter identification of asynchronous motor is done with minor deviation. At the same time, comparative analysis between different identification results is finished with various thinking. Although this paper has done so many works, it is simulation after all. So many extraneous factors have not been taken into account. Generally, motor’s running environment is much worse than this. Therefore, a long way is still needed to explore.

Keywords  Asynchronous motor modeling   Parameter identification MATLAB/Simulink   Recursive least square method

1 绪论 1

1.1负荷建模的背景及意义 1

1.2负荷模型的类型选择 1

1.3负荷模型的参数辨识 3

1.4本文的研究工作 4

2 三相异步电动机的数学建模 5

2.1 异步电动机的基本方程5

2.2 ABC坐标系下的电动机数学模型 6

2.3 电动机的MATLAB仿真模型8

2.4本章总结14

3异步电动机的性能分析实例 14

3.1实际电动机的参数14

3.2电动机的空载起动特性15

3.3电动机的负载起动特性15

3.4本章总结16

4基于T形等效电路的电机参数辨识17

4.1理论推导17

4.2仿真与计算18

4.3本章总结19

5基于最小二乘法的异步电动机参数辨识20

5.1离线参数辨识20

5.2 最小二乘法简介20

5.3递推最小二乘法22

5.4 线性系统参数辨识23

5.5 电动机最小二乘线性模型推导24

5.6 本章总结26

6异步电动机参数辨识仿真26

6.1激励信号的选择26

6.2采样周期的确定27

6.3异步电动机模型27

6.4最小二乘法程序28

6.5仿真计算及分析29

6.6两种参数辨识结果对比分析32

6.7本章总结33

  结论 34

致谢 35

参考文献36

附录 递推最小二乘法程序38