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Automated Graph-Based Methodology for Fault Detection and Location in Power Systems

机译:基于自动图的电力系统故障检测和定位方法

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摘要

This study investigates how the model-based fault detection and location approach of structural analysis can be adapted to meet the needs of power systems, where challenges associated with increased system complexity make conventional protection schemes impractical. With a global view of the protected system and the systematic and automated use of the system's analytical redundancy, faults are detected and located by more than one means. This redundancy can be used as a confirmation mechanism within a wide-area protection scheme to avoid unnecessary or false tripping due to protection component failure or disturbance. Furthermore, this redundancy turns the sensor configuration problem into an optimization problem with regard to fault detection and location. The effectiveness of different system topologies can then be compared on the basis of the optimal number of sensors they require. The principle of structural analysis is described in detail and illustrated on a simple power system model. Pertinence of the approach is demonstrated through simulation.
机译:这项研究调查了如何使基于模型的结构分析故障检测和定位方法能够适应电力系统的需求,其中与系统复杂性增加相关的挑战使常规保护方案不切实际。全面了解受保护系统并系统地自动使用系统的分析冗余,可以通过多种方式检测和定位故障。该冗余可以用作广域保护方案中的确认机制,以避免由于保护组件故障或干扰而导致不必要或错误的跳闸。此外,这种冗余将传感器配置问题转化为关于故障检测和定位的优化问题。然后,可以根据所需的传感器最佳数量来比较不同系统拓扑的有效性。详细介绍了结构分析的原理,并在简单的电力系统模型上进行了说明。通过仿真证明了该方法的相关性。

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