This paper proposes an artificial neural network (ANN)-based VGS dual droop control strategy tailored for microgrid systems.
Artificial neural network-based virtual synchronous generator dual droop control for microgrid systems ... on dual parallel virtual synchronous machine system.
Oct 1, 2023 · This paper proposes an artificial neural network (ANN)-based VGS dual droop control strategy tailored for microgrid systems. The study initially ...
Artificial neural network-based virtual synchronous generator dual droop ...
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Artificial neural network-based virtual synchronous generator dual droop control for microgrid systems. https://doi.org/10.1016/j.compeleceng.2023.108930.
Oct 1, 2023 · This paper proposes an artificial neural network (ANN)-based VGS dual droop control strategy tailored for microgrid systems. The study initially ...
Apr 26, 2023 · This work proposes Sliding Mode (SM) robust droop control scheme assisted by Artificial Neural Network (ANN) algorithm for an islanded PVG integrated microgrid.
Oct 22, 2024 · The proposed FFNN based droop control method simultaneously controls the microgrid voltage and frequency within the limits.
Missing: synchronous | Show results with:synchronous
To address this issue, this article proposes a data-driven modeling approach based on long short-term memory (LSTM) neural networks. The focus is on mapping ...
Abstract—This article presents a data-driven approach that adaptively tunes the parameters of a virtual synchronous generator.
Missing: dual | Show results with:dual
Adaptive Neural Networks are used to track the Maximum Power Point of renewable energy generators and to control the power exchanged between the. Front-End ...