基于PMU数据的发电机参数验证和校准过程

Neeraj Nayak, Heng Chen, W. Schmus, R. Quint
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引用次数: 18

摘要

模型在电力系统规划和运行研究中得到了广泛的应用,在预测电网响应和应急准备方面发挥着重要作用。北美电力可靠性公司(NERC)采用了发电机模型验证标准,要求对发电机、励磁器、调速器和稳定器模型进行定期验证。使用同步相量数据为发电机业主提供了一个独特的机会,在机组在线时验证他们的动态模型,避免了耗时和昂贵的离线测试。本文介绍了使用发电机终端的PMU数据来验证模型而无需离线的工具,并给出了测试结果。这项工作是建立在德克萨斯大学阿灵顿分校的研究基础上的。验证和校准过程分为两步,用于确定模型是否有效,然后在需要时校准模型参数。用模拟数据和现场数据对验证过程进行了测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generator parameter validation and calibration process based on PMU data
Models are used widely in power system planning and operations studies, and play an important role in predicting the grid's response and preparing for contingencies. The North American Electric Reliability Corporation (NERC) has adopted standards for generator model validation requiring periodic validation of generator, exciter, governor, and stabilizer models. Using synchrophasor data provides a unique opportunity for generator owners to verify their dynamic models while the units are on-line, avoiding time-consuming and costly off-line tests. This paper describes the tool that uses PMU data at the generator terminals to validate the models without taking them offline and also presents test results. This work is built on the research done by University of Texas Arlington. A two-step process of validation and calibration is used to identify whether the model is valid and then calibrate the model parameters if needed. The validation process has been tested with simulated data and field data.
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