4 FAQs about Microgrid reactive voltage control

What is advanced control strategy for AC microgrids?

Adiche, S., Larbi, M., Toumi, D. et al. Advanced control strategy for AC microgrids: a hybrid ANN-based adaptive PI controller with droop control and virtual impedance technique.

Can artificial neural networks improve voltage control strategy for microgrids?

Scientific Reports 14, Article number: 31057 (2024) Cite this article In this paper, an improved voltage control strategy for microgrids (MG) is proposed, using an artificial neural network (ANN)-based adaptive proportional-integral (PI) controller combined with droop control and virtual impedance techniques (VIT).

Can deep learning improve voltage control and regulation in smart micro-grids?

This paper presents an innovative application of deep learning optimization techniques, combined with the Artificial Bee Colony (ABC) algorithm, to enhance voltage control and regulation in smart micro-grids integrated with electric vehicles (EVs).

Can Ann-based PI controller solve load sharing problem in AC microgrids?

In this paper, an efficient ANN-based PI controller has been proposed for voltage control of AC microgrids addressing the load sharing problem. The droop control and VIT have been applied to accurately separate the active and reactive power while ensuring the power-sharing of DGs.

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