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首页> 外文期刊>IEEE Transactions on Power Delivery >A Predictive Generator Out-of-Step Protection and Transient Stability Monitoring Scheme Enabled by a Distributed Dynamic State Estimator
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A Predictive Generator Out-of-Step Protection and Transient Stability Monitoring Scheme Enabled by a Distributed Dynamic State Estimator

机译:分布式动态状态估计器支持的预测发电机失步保护和暂态稳定监测方案

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摘要

A novel predictive generator out-of-step protection and transient stability monitoring scheme is presented. It is based on real-time dynamic monitoring of the system, enabled by a distributed dynamic state estimator (DSE). DSE utilizes local synchronized and nonsynchronized measurements and provides the evolution of the system's dynamic state at rates of 60 times/s. The real-time dynamic model is then utilized to evaluate the system's energy function based on Lyapunov's direct method, estimate the stability barrier, and characterize its stability. The two major components of the scheme are: the calculation of the system's center of oscillations and the derivation in real time of an equivalent, reduced size model used for the calculation of the generator stability barrier and its stability characterization. It is shown that the major advantage of the proposed scheme, compared with legacy generator impedance relay-based out-of-step protection, is that the out-of-step condition is predicted before its occurrence and the generator can be tripped much faster than the traditional scheme. The theoretical background of the scheme and application on an actual system are presented. The proposed scheme characterizes very accurate potential generator instability and predicts generator loss of synchronism before its occurrence, before the generator slips a pole.
机译:提出了一种新颖的预测发电机失步保护和暂态稳定监测方案。它基于对系统的实时动态监视,并由分布式动态状态估计器(DSE)启用。 DSE利用本地同步和非同步测量,并以60次/秒的速率提供系统动态状态的演变。然后,基于利雅普诺夫的直接方法,利用实时动态模型评估系统的能量函数,估算稳定壁垒并表征其稳定性。该方案的两个主要组成部分是:系统振荡中心的计算和用于计算发电机稳定性势垒及其稳定性表征的等效尺寸减小模型的实时推导。结果表明,与传统的基于发电机阻抗继电器的失步保护相比,该方案的主要优势在于,失步条件可以在发生之前进行预测,并且发电机的跳闸速度比传统方案。介绍了该方案的理论背景及其在实际系统中的应用。所提出的方案表征了非常精确的潜在发电机不稳定性,并预测了发电机失步之前,发电机失极之前发电机的同步损失。

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