同步发电机励磁系统模型参数离线辨识自动寻优方法

Automatic Optimization Method for Model Parameters Off-Line Identification of Synchronous Generator Excitation System

针对传统同步发电机励磁系统模型参数离线辨识方法流程受人为主观经验影响大,难以获取最优参数的局限性,开展同步发电机励磁系统模型参数离线辨识自动量化寻优方法研究。首先在分析传统离线励磁系统模型参数辨识相关标准及流程的基础上,提出了励磁系统阶跃响应上升时间、峰值时间、超调量等性能误差指标的标幺化判定准则,然后基于提出的性能误差指标标幺化规则和优先级权重排序模型建立一种励磁系统模型参数辨识寻优方法与流程。案例分析结果表明,文中建立的励磁系统参数辨识寻优方法及流程可自动准确地获取设定条件下的励磁系统模型参数辨识的最优解,为提升励磁系统模型参数离线辨识的精确性和针对性提供了一种技术手段。

The traditional method of parameter off-line identification for synchronous generator excitation system is greatly influenced by subjective experience,which results in the lack of uniqueness of the identification data.It is difficult to obtain the optimal parameters.Thus,an automatic quantitative optimization method is carried out for off-line identification of synchronous generator excitation system model parameters.First,based on relevant standards and the process for the traditional parameter off-line identification of the excitation system model,the per unit judging rule and the calculation method of performance error indexes,such as the rise time,peak time and overshoot,are proposed.Then,according to the performance error indexes per unit rules and priority weight optimization model,the optimization method and process for parameter identification of excitation system model is established.The case study shows that the proposed parameter identification optimization method and process can obtain the optimal and unique solution of parameter identification automatically and accurately under given conditions,which provides a technical means for increasing the accuracy of off-line parameter identification of excitation system model.