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Study on high penetration wind power integration and transient voltage stability in power grid using CNN-LSTM with attention mechanism
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Hongying Zhang1, Yichao Jia1, Jiangzhi Wang2, Wei Zhang2
Renewable Energy Resources | 2024, 42(3) : 397 - 406
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Renewable Energy Resources | 2024, 42(3): 397-406
Study on high penetration wind power integration and transient voltage stability in power grid using CNN-LSTM with attention mechanism
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Hongying Zhang1, Yichao Jia1, Jiangzhi Wang2, Wei Zhang2
Affiliations
  • 1 China Electric Power Research Institute Co., Ltd. Nanjing 210037 China
  • 2 School of Mechanical Engineering University of Shanghai for Science and Technology Shanghai 200093 China
Published: 2024-03-20
Outline
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In order to achieve rapid and accurate assessment of transient voltage stability in the power system following the integration of wind farms into the grid, a transient stability assessment metric is proposed based on Convolutional Neural NetworksLong ShortTerm Memory (CNNLSTM) and attention mechanisms. To better capture spatial and temporal correlations in the input data, feature dimensionality reduction is carried out using Kernel Principal Component Analysis (KPCA). Addressing challenges related to decreased shortcircuit capacity and increased shortcircuit current levels in highproportion renewable energy grids, an active support measure is introduced by installing superconducting fault current limiters to restrict shortcircuit current levels during fault processes and maintain voltage stability at grid connection points. Finally, simulations and data collection are performed on an IEEE39 node system with wind power integration using PSDBPA. The results indicate that the KPCA approach effectively screens features of significant importance in the transient stability assessment of power systems. The proposed evaluation metric demonstrates higher discriminative capability, and the suggested improvement measures are observed to play a positive role in enhancing transient voltage stability in highproportion wind power integration systems.

wind power integration  /  transient voltage stability  /  transient assessment metrics  /  fault current limiters
Hongying Zhang, Yichao Jia, Jiangzhi Wang, Wei Zhang. Study on high penetration wind power integration and transient voltage stability in power grid using CNN-LSTM with attention mechanism[J]. Renewable Energy Resources, 2024 , 42 (3) : 397 -406 .
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Article Info
  • Receive Date：2023-07-03
  • Online Date：2025-07-22
  • Published：2024-03-20
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  • Received：2023-07-03
Funding
Affiliations
    1 China Electric Power Research Institute Co., Ltd. Nanjing 210037 China
    2 School of Mechanical Engineering University of Shanghai for Science and Technology Shanghai 200093 China
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光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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