| Imbalance correction method of transient stability assessment model based on gradient norm |
| 投稿时间：2022-11-01 修订日期：2023-06-22 |
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| English Abstract: |
| In order to solve the problem of transient stability assessment deviation caused by the imbalance of power system sample quantity and quanlity, starting from the training process of assessment model, the gradient norm of samples to model parameters is obtained by the pre-training model, and the mean ratio of gradient norm is introduced to quantify the imbalance of samples. Compared with the prior information, the mean ratio of gradient norm comprehensively considers the imbalance between the sample quantity and quality. An imbalanced correction method based on the cost-sensitive method is proposed, which is used to improve the assessment preference of the model and realize a preferable correction effect. The simulative results of IEEE 39-bus system and East China Power System verify the effectiveness of the proposed method. |
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| English and key words:deep learning transient stability assessment cost-sensitive gradient norm stacked sparse auto-encoder imbalanced sample |
| 基金项目:福建省自然科学基金资助项目(2022J01113) |
| DOI：10.16081/j.epae.202308022 |
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