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基于逐步特征增广梯度提升的暂态功角稳定评估及可解释性分析

刘旭 刘颂凯 杨超 张磊 段雨舟 晏光辉

现代电力2024,Vol.41Issue(5):844-853,10.
现代电力2024,Vol.41Issue(5):844-853,10.DOI:10.19725/j.cnki.1007-2322.2022.0383

基于逐步特征增广梯度提升的暂态功角稳定评估及可解释性分析

Transient Angle Stability Assessment and Interpretability Analysis Based on Gradient Boosting Enhanced With Step-wise Feature Augmentation

刘旭 1刘颂凯 1杨超 1张磊 1段雨舟 2晏光辉3

作者信息

  • 1. 三峡大学电气与新能源学院,湖北省宜昌市 443002
  • 2. 深圳供电局有限公司罗湖供电局,广东省深圳市 518020
  • 3. 国网十堰供电公司,湖北省十堰市 442000
  • 折叠

摘要

Abstract

Although the transient angle stability assessment of power systems based on data-driven can provide more accurate results,it is difficult to apply in engineering practice due to the lack of interpretability of the results.To solve this problem,an analysis method of transient angle stability assessment and in-terpretability based on gradient boosting enhanced with step-wise feature augmentation(AugBoost)was proposed.Firstly,the mapping relationship between the power system input fea-tures and transient angle stability index was established by training the AugBoost assessment model.Secondly,the real-time measurement data of phasor measurement units were transferred to the trained AugBoost assessment model to provide real-time assessment results.And the relationship between assessment results and input features was explained according to Shapley additive explanations(SHAP)interpreta-tion model to improve the credibility of results.Finally,a mod-el update process was designed to improve the robustness of the assessment model to the variation of power system operating conditions.The simulation results on the 23-bus power system and the 1648-bus power system provided by power system sim-ulation software PSS/E verify the effectiveness of the proposed method.

关键词

暂态功角稳定评估/逐步特征增广梯度提升/沙普利值加性解释/可解释性分析/模型更新

Key words

transient angle stability assessment/AugBoost/Shapley additive explanations(SHAP)/interpretability analys-is/model update

分类

信息技术与安全科学

引用本文复制引用

刘旭,刘颂凯,杨超,张磊,段雨舟,晏光辉..基于逐步特征增广梯度提升的暂态功角稳定评估及可解释性分析[J].现代电力,2024,41(5):844-853,10.

基金项目

国家自然科学基金项目(52007103,62233006) (52007103,62233006)

湖北省自然科学基金项目(2022CFB825) (2022CFB825)

电力系统智能运行与安全防御宜昌市重点实验室(三峡大学)开放基金(2020DLXY06) (三峡大学)

梯级水电站运行与控制湖北省重点实验室(三峡大学)开放基金(2019KJX11). Project Supported by National Natural Science Foundation of China(52007103,62233006) (三峡大学)

Natural Science Foundation of Hubei Province(2022CFB825) (2022CFB825)

Open Foundation of Yichang Key Laboratory of Intelligent Operation and Security Defense of Power System(2020DLXY06) (2020DLXY06)

Open Foundation of Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station(2019KJX11). (2019KJX11)

现代电力

OA北大核心CSTPCD

1007-2322

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