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基于演化森林的电力系统暂态稳定性评估

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随着可再生能源和电力电子设备的大量接入,电力系统惯量不断下降.此外,新型电力系统复杂的耦合特性和时变因素也对暂态稳定评估提出了更高的要求.为进一步提升暂态稳定评估模型对失稳样本的识别能力,提出了一种基于演化森林算法的电力系统暂态稳定评估模型.通过三段式特征选择策略,构建出反映电力系统运行状态的输入样本集.在改造后的新英格兰 10机 39节点系统上对所提出的方法进行分析与验证.实验结果表明,该模型具有较强的分类性能和良好的可解释性.
Transient Stability Assessment of Power System Based on Evolutionary Forest
With the large number access of renewable energy and power electronic equipment,the inertia of the power system continues to decrease.In addition,the complex coupling characteristics and time-varying factors of new power systems have higher requirements for transient stability evaluation.In order to further improve the ability of transient stability assessment model to identify unstable samples,a transient stability assessment model of power system based on evolutionary forest algorithm is proposed.The three-stage feature selection strategy is used to construct the input sample set reflecting the running state of the power system.The proposed method is analyzed and verified on the modified New England 10-machine 39-node system.The experimental results show that the model has strong classification performance and good interpretability.

transient stability assessmentevolutionary forestfeature constructiongenetic programmingevolutionary learning

卢锦玲、邴守健、何小萌、宁峰、任惠

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华北电力大学 电力工程系,河北 保定 071003

暂态稳定评估 演化森林 特征构建 遗传编程 演化学习

2025

电力科学与工程
华北电力大学

电力科学与工程

影响因子:0.675
ISSN:1672-0792
年,卷(期):2025.41(1)