MSME Registered ISO 9001:2015 Certified Open Access
journal@vidyawan.in Working Hours: 9am – 9pm
Journal / Archives / Computer Science & IT / VDW-2026-3607CD8
Computer Science & IT

Quantum-Inspired AI Framework for SelfHealing Rural Smart Grids with Vehicle-to-Grid Energy Sharing

Dinesh Gupta Silpa Deuli
M I T Published: 19 July 2026 Vol. 1, Issue 2 — pp. 31–40 125 views
Abstract

Rural electrical networks often face challenges such as voltage instability, fault recovery delays, renewable energy intermittency, and inadequate backup power systems. This paper proposes a Quantum-Inspired Artificial Intelligence (QIAI) framework integrated with Self-Healing Smart Grid technology and Vehicle-to-Grid (V2G) energy sharing. The proposed system predicts faults, automatically isolates damaged sections, and utilizes parked electric vehicles as distributed energy storage units during emergencies. Simulation-based performance evaluation demonstrates improvements in reliability, restoration time, voltage regulation, and renewable energy utilization.

Keywords
Smart Grid Artificial Intelligence Vehicle-to-Grid Quantum Optimization Renewable Energy Power Systems Self-Healing Grid
Full Article PDF
Loading PDF…

We couldn't load the inline preview. Open the PDF directly instead.

1 / –
How to Cite
Dinesh Gupta & Silpa Deuli (2026). Quantum-Inspired AI Framework for SelfHealing Rural Smart Grids with Vehicle-to-Grid Energy Sharing. Volume of International Discoveries and Youth Academic Works, Achievements, and Novelties - VIDYAWAN, 1(2), 31–40. https://doi.org/10.5281/zenodo.21443199

Cited via DOI — this article is permanently archived on Zenodo.