Observer-Based Anomaly Detection of Synchronous Generators for Power Systems Monitoring
Observer-Based Anomaly Detection of Synchronous Generators for Power Systems Monitoring
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DOI：
10.1109/pesgm40551.2019.8973935
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发表时间：
2018-07
影响因子：
6.6
通讯作者：
G. Anagnostou;F. Boem;S. Kuenzel;B. Pal;T. Parisini
中科院分区：
文献类型：
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作者：
G. Anagnostou;F. Boem;S. Kuenzel;B. Pal;T. Parisini
本文提出了一种严格的异常检测方案，旨在发现与运营商使用的模型不一致的电力系统运行变化。这项新技术依赖于状态观测器，具有保证估计误差收敛的特点，适合实时实施，并且它的开发是为了完全解决电力系统中的这一重要问题。该方法适合网络的高度非线性特性，通过线性时变估计方案来估计非线性发电机模型的状态。鉴于业界现有的动态安全评估工具对标称电力系统模型的依赖，建议的方法可以解决与假设的系统动态存在偏差的情况，从而增强运营商对系统运行的认识。它基于依赖于阈值分析计算的决策方案，不涉及可能引入不准确结果的经验标准。由于保证不存在误报，因此所提出的技术对于系统监视和控制非常有用。通过两个电力系统模型的详细实际案例研究显示了异常检测算法的有效性。
This paper proposes a rigorous anomaly detection scheme, developed to spot power system operational changes which are inconsistent with the models used by operators. This novel technique relies on a state observer, with guaranteed estimation error convergence, suitable to be implemented in real time, and it has been developed to fully address this important issue in power systems. The proposed method is fitted to the highly nonlinear characteristics of the network, with the states of the nonlinear generator model being estimated by means of a linear time-varying estimation scheme. Given the reliance of the existing dynamic security assessment tools in industry on nominal power system models, the suggested methodology addresses cases when there is deviation from assumed system dynamics, enhancing operators’ awareness of system operation. It is based on a decision scheme relying on analytical computation of thresholds, not involving empirical criteria which are likely to introduce inaccurate outcomes. Since false-alarms are guaranteed to be absent, the proposed technique turns out to be very useful for system monitoring and control. The effectiveness of the anomaly detection algorithm is shown through detailed realistic case studies in two power system models.