Convolutional neural network‐based power system frequency security assessment

Convolutional neural network‐based power system frequency security assessment

Abstract Weak inertia characteristics of power systems with high penetrations of renewables have become a prominent problem for frequency security. To solve this problem, a convolutional neural network (CNN)‐based deep learning approach is applied to realize rapid frequency security assessment (FSA)...

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Bibliographic Details
Main Authors: Changjiang Wang, Benxin Li, Chunxiao Liu, Peng Li
Format: Article
Language:English
Published: Wiley 2021-09-01
Series:IET Energy Systems Integration
Subjects:
error analysis
measurement errors
power engineering computing
power generation planning
power grids
power system security
Online Access:https://doi.org/10.1049/esi2.12021

Internet

https://doi.org/10.1049/esi2.12021

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