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Imagine a small power grid, a 'icrogrid', managing energy for a whole neighborhood. On one side, we have the sun, which is amazing but a bit unpredictable: if a cloud passes by, energy levels drop suddenly. On the other side, we have all of us plugging in our electric cars right when power demand is highest. This mix can create electrical chaos, causing voltage spikes that could damage devices.

To solve this, scientists have designed a super-smart system using artificial intelligence. This system acts like an expert director: it predicts how much sunlight there will be and how much energy cars will demand, coordinating batteries and other high-tech devices in real-time. Instead of reacting to problems after they happen, the system anticipates weather changes and electricity demand.

The result? A stable and secure grid, where almost all energy comes from the sun, even when everyone is charging their cars. This is a huge step toward making our cities greener and more resilient, turning weather uncertainty into a perfectly coordinated team effort between technology and sustainability.

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The research addresses the challenge of voltage and frequency stability in low-voltage microgrids, a critical issue with the increasing penetration of electric vehicles (EVs) and non-dispatchable renewables like solar PV. The proposed strategy combines two approaches: an LSTM (Long Short-Term Memory) model, a type of recurrent neural network excellent at time-series forecasting, and a rule-based supervisory controller. The innovation lies in the joint management of active power (via battery charging) and reactive power (via FACTS - Flexible AC Transmission Systems). While active power influences frequency, reactive power is essential for keeping voltage within safe limits. The system introduces a 'esilience response index,' which measures the grid's ability to withstand external disturbances or forecasting delays. Simulations demonstrate that this coordinated approach drastically reduces voltage deviation events, allowing for massive integration of electric vehicles without compromising local grid stability.

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Authors:
Paul Arévalo-Cordero
Date Published:
Original Article www.mdpi.com
Fact-check verified on 19/07/2026
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Creative Commons License CC BY-NC-SA 4.0

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