Transient Stability Assessment using Gated Recurrent Unit

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Abstract
Machine learning based transient stability analysis of power system mostly uses feedforward neural network, which does not consider the relationship between data and data in time domain. This paper presents a power system transient stability assessment based on gated recurrent unit. The proposed system manages to extract both spatial and temporal data dependency from the input power system state for security assessment, and output evaluation value faster by controlling stability threshold η.In this paper, the active power and reactive power of the line are input, which are obtained by time-domain simulation. Two different evaluation methods are used to evaluate the experimental results. The simulation results on IEEE 39-bus test system demonstrate accurate assessment with significantly reduced system response time.

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