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A New Dynamic Performance Model of Motor Stalling and FIDVR for Smart Grid Monitoring/Planning

机译:用于智能电网监控/规划的电动机失速和FIDVR的新动态性能模型

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摘要

The stalling of highly concentrated constant torque induction motor loads due to system faults may result in fault induced delayed voltage recovery. This state can cause significantly depressed local voltage for several seconds after the fault is cleared and can also lead to widely cascaded system failure. Though there is extensive study conducted within the modeling of motor loads, the dynamic connection between the aggregated induction motor loads and the grid still needs further investigation. In this paper, a dynamic performance model is developed for motor stalling and over heat thermal tripping. Specifically, this dynamic model can be constructed with an energy-like Lyapunov function, and can be incorporated as part of power system dynamic cascading model. The simulation examples are carried out in an enhanced version of the IEEE 57 bus test system, as demonstration for feasibility. This model may be beneficial for smart grid monitoring and planning, as well as energy analysis for power system cascading failure.
机译:由于系统故障而导致的高集中恒转矩感应电动机负载的失速可能导致故障引起的延迟电压恢复。在清除故障后的数秒内,这种状态可能会导致本地电压显着下降,并且还可能导致广泛的级联系统故障。尽管在电动机负载建模中进行了广泛的研究,但聚集的感应电动机负载与电网之间的动态联系仍需要进一步研究。本文针对电动机失速和过热跳闸建立了动态​​性能模型。具体而言,可以使用类似能量的Lyapunov函数构造此动态模型,并且可以将其作为电力系统动态级联模型的一部分。仿真示例在IEEE 57总线测试系统的增强版中进行,以证明其可行性。该模型可能有益于智能电网监控和规划,以及用于电力系统级联故障的能量分析。

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