| 引用本文: | 唐昆明,康丽红,殷家敏,冯树辉.基于可量测量的同步发电机参数时域辨识[J].电力自动化设备,2014,34(8): |
| TANG Kunming,KANG Lihong,YIN Jiamin,FENG Shuhui.Time-domain parameter identification based on measurable variables for synchronous generator[J].Electric Power Automation Equipment,2014,34(8): |
|
| 摘要: |
| 同步发电机模型中不可观测量的存在使得发电机参数辨识困难。在派克模型的基础上，推导出一种状态量均为量测量的同步发电机参数辨识模型，基于该模型提出用直接积分最小二乘原理来辨识发电机参数，并采用分步辨识策略进行辨识。采用所提模型和算法，所有状态量均可直接由积分求取，避免了求解复杂的微分方程，简化了参数辨识方法，提高了辨识效率，而且降低了噪声对辨识结果的影响。利用MATLAB进行算例仿真，将所提模型与派克模型和某文献模型进行对比，结果表明所提模型和算法正确、简单且精度高。 |
| 关键词: 同步发电机 参数辨识 可量测量 直接积分最小二乘法 时域分析 模型 |
| DOI： |
| 分类号: |
| 基金项目: |
|
| Time-domain parameter identification based on measurable variables for synchronous generator |
|
TANG Kunming1, KANG Lihong1, YIN Jiamin2, FENG Shuhui1,3
|
|
1.State Key Laboratory of Power Transmission Equipments & System Security and New Technology，Chongqing University，Chongqing 400030，China;2.Changshou Power Supply Bureau，Chongqing Electric Power Corporation， Chongqing 401220，China;3.Weifang Ｐower Ｓupply Company，Weifang 261021，China
|
| Abstract: |
| The immeasurable variables of synchronous generator model make its parameter identification difficult. Based on Park model，a parameter identification model only with measurable state variables is derived for synchronous generator，based on which and according to the two-step strategy，the generator parameters are identified by applying the direct integral least square principle. With the proposed model and algorithm，all state variables are directly obtained by integration and the complex differential equations are avoided，which simplifies the parameter identification，improves the identification efficiency and decreases the impact of noise on identification results. Case simulation is carried out on MATLAB and the comparison among the proposed model，Park model and a reference model shows that，the proposed model and algorithm are correct，simple and more accurate. |
| Key words: synchronous generators parameter identification measurable variables direct integral least square algorithm time domain analysis models |
