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Optimization of Emergency Control Strategy for Frequency of Receiving-end Power Grid Under DC Blocking Based on Improved Particle Swarm Optimization and Hybrid Convolutional Neural Network
New Energy Power System | 更新时间：2025-12-17

    • Optimization of Emergency Control Strategy for Frequency of Receiving-end Power Grid Under DC Blocking Based on Improved Particle Swarm Optimization and Hybrid Convolutional Neural Network

    • “Experts have proposed a frequency emergency control decision optimization method based on improved particle swarm optimization and hybrid convolutional neural network in the field of frequency safety of the receiving end power grid after DC blocking accidents, providing a solution to the frequency safety problem of the power grid.”
    • Modern Electric Power   Vol. 42, Issue 4, Pages: 711-721(2025)

    • DOI：10.19725/j.cnki.1007-2322.2023.0132    

      CLC： TM73

    • Received：11 April 2023，

      Accepted：09 November 2023，

      Published：10 August 2025

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  • Zhen CAO, Jun ZHUANG, Jinhua XUE, et al. Optimization of Emergency Control Strategy for Frequency of Receiving-end Power Grid Under DC Blocking Based on Improved Particle Swarm Optimization and Hybrid Convolutional Neural Network[J]. Modern Electric Power, 2025, 42(4): 711-721. DOI： 10.19725/j.cnki.1007-2322.2023.0132.

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