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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Smart Grids
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1491846
This article is part of the Research Topic Advanced Data-Driven Uncertainty Optimization for Planning, Operation, and Analysis of Renewable Power Systems View all 9 articles

Two-Stage Transient Stability Assessment Using Ensemble Learning and Cost Sensitivity

Provisionally accepted
Aoyu Lei Aoyu Lei 1*Yong Mei Yong Mei 1*Dexin Ma Dexin Ma 2Zining Liu Zining Liu 2*Wenwei Tao Wenwei Tao 1*Fangneng Huang Fangneng Huang 1*
  • 1 Power Dispatching and Control Center of Guangdong Power Grid, Guangzhou, China
  • 2 Electric Power Research Institute of China South Power Grid, Guangzhou, China

The final, formatted version of the article will be published soon.

    This paper proposes a novel two-stage transient stability assessment (TSA) model that integrates ensemble learning with cost sensitivity to address the challenges posed by the integration of renewable energy and load fluctuations. The model employs CNNs as positive and negative classifiers to initially evaluate samples, with consistent results output directly. In cases of inconsistency, the sample is evaluated by a fair classifier, specifically an ELM, trained on critical samples. This approach significantly enhances the classification performance and credibility of the fair classifier, especially under imbalanced conditions, thereby improving the overall efficiency and accuracy of TSA. The proposed model demonstrates superior performance compared to single-stage models and other two-stage models, achieving high accuracy and robustness in transient stability assessment, particularly for critical samples.

    Keywords: transient stability, cost sensitivity, critical sample, ensemble learning, Sample imbalance

    Received: 05 Sep 2024; Accepted: 25 Sep 2024.

    Copyright: © 2024 Lei, Mei, Ma, Liu, Tao and Huang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Aoyu Lei, Power Dispatching and Control Center of Guangdong Power Grid, Guangzhou, China
    Yong Mei, Power Dispatching and Control Center of Guangdong Power Grid, Guangzhou, China
    Zining Liu, Electric Power Research Institute of China South Power Grid, Guangzhou, 510631, China
    Wenwei Tao, Power Dispatching and Control Center of Guangdong Power Grid, Guangzhou, China
    Fangneng Huang, Power Dispatching and Control Center of Guangdong Power Grid, Guangzhou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.