Microgrid Stability Improvement Using a Deep Neural Network Controller Based VSG

نویسندگان

چکیده

In order to support the inertia of a microgrid, virtual synchronous generator control is suitable method. However, use leads unacceptable transient active power sharing, oscillations, and inverter output oscillation in event disturbance. This study aims propose deep neural network controller which combines features restricted Boltzmann machine multilayer network. To initialize unsupervised pretraining method, applied as very important part learning controller. The Lyapunov stability method used update weight proposed performs damping frequency stabilization. experimental simulation results are presented assess usefulness suggested oscillations

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ژورنال

عنوان ژورنال: International Transactions on Electrical Energy Systems

سال: 2022

ISSN: ['2050-7038']

DOI: https://doi.org/10.1155/2022/7539173