RBF Neural Network Based Virtual Synchronous Generator Control With Improved Frequency Stability

The virtual synchronous generator (VSG) based on the energy storage system is proposed to compensate the loss of inertia and damping of the power grid. Due to the introduction of inertia, VSG is more prone to power oscillation. In this article, the nonlinear relationship between inertia and angular...

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Veröffentlicht in:	IEEE transactions on industrial informatics 2021-06, Vol.17 (6), p.4014-4024
Hauptverfasser:	Yao, Fengjun, Zhao, Jinbin, Li, Xiangjun, Mao, Ling, Qu, Keqing
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive control Algorithms Angular velocity Control stability Damping Damping ratio Electric power grids Energy storage Energy storage system (ESS) frequency control Frequency stability Inertia intelligent control Inverters Machine learning Neural networks Oscillators Radial basis function radial basis function (RBF) neural network (NN) Reactive power Synchronous generators virtual inertia and damping virtual synchronous generator (VSG)
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