Risk Prediction Method of Low Frequency Oscillation in Maintenance Power Network Based on Long Short Term Memory Neural Network
Smart Grid|更新时间:2025-06-15
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Risk Prediction Method of Low Frequency Oscillation in Maintenance Power Network Based on Long Short Term Memory Neural Network
“In the field of power systems, experts have proposed a low-frequency oscillation risk prediction method for maintenance state power grids based on LSTM neural networks, providing a solution for evaluating the low-frequency oscillation risk of power grids.”
Power Generation TechnologyVol. 45, Issue 2, Pages: 353-362(2024)
作者机构:
1.国网河南省电力公司,河南省 郑州市 450052
2.中国电力科学研究院有限公司,北京市 海淀区 100192
3.国网河南省电力公司电力科学研究院,河南省 郑州市 450052
作者简介:
基金信息:
Science and Technology Foundation of State Grid Henan Electric Power Company(5217022000A8)
FU Hongjun,ZHU Shaoxuan,WANG Buhua,et al.Risk Prediction Method of Low Frequency Oscillation in Maintenance Power Network Based on Long Short Term Memory Neural Network[J].Power Generation Technology,2024,45(02):353-362.
FU Hongjun,ZHU Shaoxuan,WANG Buhua,et al.Risk Prediction Method of Low Frequency Oscillation in Maintenance Power Network Based on Long Short Term Memory Neural Network[J].Power Generation Technology,2024,45(02):353-362. DOI: 10.12096/j.2096-4528.pgt.22152.
Risk Prediction Method of Low Frequency Oscillation in Maintenance Power Network Based on Long Short Term Memory Neural Network