电网技术2019，Vol.43Issue(5)：1690-1697,8.DOI:10.13335/j.1000-3673.pst.2018.1947
基于短时受扰轨迹的电力系统暂态稳定评估方法
A Power System Transient Stability Assessment Method Based on Short-time Disturbed Trajectories
摘要
Abstract
In order to meet the speed and accuracy requirements of real-time assessment of power grid transient stability, a method assessing transient stability of power system is proposed based on short-time disturbed trajectories after fault clearance and convolution neural network. This method does not need to calculate the trajectory characteristics as input, but directly uses the measured time series data. Based on the autonomous learning ability of the model, the local features hidden in the short-time trajectories are extracted layer by layer. A nonlinear mapping relationship between the short-time disturbed trajectories and stability type is constructed, and the sample construction of transient stability information matrix considering initial disturbance degree of the fault is introduced to enhance robustness of the extracted local features, improve the generalization ability of the model, and effectively reduce the number of misjudged samples, so that the accuracy of the model can be further improved. The proposed method is validated with the IEEE 39-bus system. Its accuracy is higher than that for conventional transient stability assessment methods.关键词
受扰轨迹/暂态稳定评估/深度学习/卷积神经网络Key words
disturbed trajectory/transient stability assessment/deep learning/convolutional neural network分类
信息技术与安全科学引用本文复制引用
安军,艾士琪,刘道伟,李柏青,邵广惠,徐兴伟,王震宇..基于短时受扰轨迹的电力系统暂态稳定评估方法[J].电网技术,2019,43(5):1690-1697,8.基金项目
国家电网公司资助科技项目(数据驱动的大电网暂态稳定态势评估与自适应控制方法服务). （数据驱动的大电网暂态稳定态势评估与自适应控制方法服务）
