GENERATOR DYNAMIC MODEL PARAMETER ESTIMATION AND TUNING USING ONLINE DATA AND SUBSPACE STATE SPACE MODEL
    44.
    发明申请
    GENERATOR DYNAMIC MODEL PARAMETER ESTIMATION AND TUNING USING ONLINE DATA AND SUBSPACE STATE SPACE MODEL 有权
    发电机动态模型参数估计和调谐使用在线数据和辅助空间模型

    公开(公告)号:US20150100282A1

    公开(公告)日:2015-04-09

    申请号:US14045757

    申请日:2013-10-03

    CPC classification number: G06F17/5009

    Abstract: Generator dynamic model parameter estimation and tuning using online data and subspace state space models are disclosed. According to one embodiment, a system comprises a sensor, a data acquisition network in communication with the sensor; a user console and an identification and tuning engine in communication with the data acquisition network, the user console, and a database. The database comprises one or more generator models, and the identification and tuning engine identifies and tunes parameters associated with a selected generator model.

    Abstract translation: 公开了使用在线数据和子空间状态空间模型的发电机动态模型参数估计和调谐。 根据一个实施例,系统包括传感器,与传感器通信的数据采集网络; 用户控制台以及与数据采集网络,用户控制台和数据库通信的识别和调优引擎。 该数据库包括一个或多个生成器模型,并且识别和调谐引擎识别并调谐与所选发生器模型相关联的参数。

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