【作者】 王婷；

【导师】 王大光； 陈树棠；

【作者基本信息】 福州大学 ， 电力系统及其自动化， 2006， 硕士

【摘要】 近年来,福建电网取得了长足的发展,实现了与华东电网的交流联网,电网的运行方式和运行工况更加复杂,增加了电力系统安全稳定和故障分析的难度。作为电力系统发电机组的主要控制系统,发电机励磁、调速系统对电力系统的动态行为、电磁暂态过程有很大影响,建立精确有效的励磁、调速系统模型至关重要。针对福建电网实际情况,对励磁和调速系统进行数学建模和参数辨识,对于福建电网的安全稳定和故障分析,进而保证其安全稳定运行具有重要意义。本文主要针对福建电网600MW发电机组的励磁、调速系统数学建模和参数辨识展开研究,并将研究成果应用于福建电网电力系统的安全稳定和故障分析之中。主要研究内容如下: 对福建电网600MW火电机组的励磁系统进行数学建模和参数辨识研究,在建立实测模型及参数基础上,采用遗传算法辨识得到IEEE格式的工程实用化励磁系统模型参数,解决了BPA等程序不能采用实测模型的问题。对福建电网600MW火电机组调速系统进行数学建模与参数辨识研究,具体包括数学模型建立、参数分析、现场测试、实际模型参数拟合、IEEE标准模型参数优化等工作。提出了基于遗传算法的励磁系统参数辨识方法,利用遗传算法对模型参数进行优化调整,借以得到满足辨识要求的系统参数,实现了对励磁系统非线性环节参数的有效辨识。在利用遗传算法获取系统模型参数的基础上,采用RTDS、PSS/E仿真等方法对模型参数进行进一步校核,并将辨识得到的系统模型参数应用于福建电力系统分析之中,进一步完善了福建电力系统模型库,对福建电网的安全稳定和故障分析具有一定积极作用。更多还原

【Abstract】 With the rapidly development of the Fujian electrical network, especially the tie line power exchanging with the East China electrical network, the mode and status of power system operation become more complex. As the primary control system of generator unit, the excitation and governing systems have a great influence on the dynamic behavior of the power system and its electromagnetism transient behavior. It is important to establish precise and effective excitation and governing system model. It is powerful meaning to implement the security and economical operation analysis for Fujian power system. This thesis makes a study on modeling and parameter identification for 600MW thermal power unit’s excitation and governing system of Fujian power system, and applies this study result to Fujian power system security and economy eoperation analysis. The main issues of this thesis are as follows: Much deep study is done on modeling and parameters identification of 600MW thermal power unit’s excitation system. The practical models and parameters can be obtained by test and parameter identification, further, the parameters according to IEEE format can be obtained by adjusting the model parameter with genetic algorithm, which solves the problem that practical models and parameters can not be used by BPA. Based on the modeling and idenfication of excitation system, modeling and identification of Fujian power system 600MW thermal power unit’s governing system is also been done. They are modeling, parameter analysis, site test, practical parameter identification and so forth. A new method based on genetic algorithm is adopted for identifying the excitation system parameters, the parameter satisfying identification error request can be obtained by adjusting the model parameter with genetic algorithm. The parameters of nonlinear system can be identified validly by this method. The models and parameters, which were obtained by the identification with genetic algorithm, were validated detailedly by using different simulation system, such as PSS/E,RTDS and so forth. Base on the application of this study, it advanced the model databank and simulation analysis of Fujian power system.更多还原