Short-term voltage stability assessment method based on Stacking integration strategy

The invention discloses a short-term voltage stability evaluation method based on a Stacking integration strategy, and mainly relates to the technical field of electric power. Firstly, based on a Stacking integration strategy, a machine and a deep learning evaluation model are integrated, an integrated machine and deep learning evaluation model is constructed, ADAboost, KNN and BO-CNN-LSTM are selected as base learners of the integrated machine and deep learning evaluation model, and ADAboost is used as a secondary learner of the integrated machine and deep learning evaluation model; inputting the short-term voltage data into an integrated machine and a deep learning evaluation model to obtain the stability of the short-term voltage of the power system; according to the invention, the machine learning model and the deep learning evaluation model are combined, so that the short-term voltage stability of the modern power system can be evaluated more accurately in real time. 本发明公开了一种基于Stacking集成策略的短期电压稳定性评估方法，主要