公开(公告)号：US11906957B1

公开(公告)日：2024-02-20

申请号：US18223559

申请日：2023-07-19

申请人： HUNAN UNIVERSITY

发明人： Lipeng Zhu ,  Zhikang Shuai ,  Jiayong Li ,  Bin Zhou ,  Cong Zhang ,  Yuhan Hu ,  Weizhi Huang ,  Limengqian Zheng

IPC分类号： G05B23/02 ,  H02J3/00

CPC分类号： G05B23/0221 ,  H02J3/001 ,  G05B2223/06 ,  H02J2203/20

摘要： A method for assessing short-term voltage stability of a power grid based on synchronous spatio-temporal information learning includes: performing a time-domain simulation for each transient fault of a power grid under each operating mode, and extracting temporal response trajectories of each monitoring bus and stability status information of the power grid to obtain a transient sample set; constructing a spatial adjacency matrix and a temporal adjacency matrix separately, and integrating the spatial adjacency matrix and the temporal adjacency matrix into a spatio-temporal adjacency matrix; performing synchronous spatio-temporal information learning by using a graph convolutional neural network algorithm, and performing training to obtain a short-term voltage stability assessment model driven by spatio-temporal information synchronization; and inputting a transient temporal responsive trajectory obtained into the short-term voltage stability assessment model, to obtain an assessment result of short-term voltage stability of the power grid.

公开(公告)号：US11821961B2

公开(公告)日：2023-11-21

申请号：US18185429

申请日：2023-03-17

申请人： Hunan University

发明人： Bin Zhou ,  Ziqi Da ,  Zhikang Shuai ,  Lipeng Zhu ,  Cong Zhang ,  Jiayong Li ,  Yifang Jin

IPC分类号： G01R31/52 ,  G01R27/26 ,  G06Q50/06 ,  H02J3/38 ,  G06Q10/04 ,  H02S50/10

CPC分类号： G01R31/52 ,  G01R27/2605 ,  G06Q10/04 ,  G06Q50/06 ,  H02J3/381 ,  H02S50/10 ,  H02J2203/20 ,  H02J2300/24

摘要： A method for electricity-related security awareness of distributed power supply systems considering spatio-temporal distribution of rainstorms, including: establishing a multi-dimensional parallel parasitic capacitance calculation model of the distributed photovoltaic-energy storage power supply system considering accumulated water depth and micro-terrain environment; performing multi-source spatio-temporal hierarchical correlation analysis between rainstorm spatio-temporal distribution characteristics (including rainfall peak position, cloud movement, rainfall intensity and rainfall duration) and an operating state of the distributed power supply system; constructing a leakage current probability prediction model considering unevenness and randomness of the rainstorm spatio-temporal distribution; and establishing an electricity-related security awareness model based on deep meta-learning.