Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)

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ANN-Based Reactive Power Control in V2G Hybrid Microgrids

Authors
N. Nagalakshmi1, *, B. Shravani1, M. Mounika1, K. Vijay Krishna1, A. Venkata Devendra Kumar1, C. Yesovardhan1
1Srinivasa Ramanujan Institute of Technology, Anantapur, Andhra Pradesh, India
*Corresponding author. Email: neerugantinagalakshmi97@gmail.com
Corresponding Author
N. Nagalakshmi
Available Online 16 June 2026.
DOI
10.2991/978-94-6239-693-7_59How to use a DOI?
Keywords
Interlinking converter; hybrid microgrid; electric vehicle; reactive power; droop control; ANN Controller
Abstract

With the increasing integration electric vehicles (EVs), reactive power management is crucial for preserving voltage stability and guaranteeing effective distribution of energy in hybrid AC/DC microgrids. These microgrids integrate DC and AC systems, providing greater flexibility and reliability for decentralized energy management. This study introduces an Artificial Neural Network (ANN)-based approach for reactive power management and converter sizing, aiming to enhance voltage regulation and overall system stability. The proposed ANN method is compared with traditional Proportional-Integral (PI) controllers, demonstrating notable improvements in reducing Total Harmonic Distortion (THD) & improving power quality. By optimizing reactive power compensation and selecting the optimal converter size, this approach offers a more efficient and resilient solution for managing hybrid microgrids, particularly those incorporating EVs, ensuring better energy management and improved system performance.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
16 June 2026
ISBN
978-94-6239-693-7
ISSN
2589-4919
DOI
10.2991/978-94-6239-693-7_59How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - N. Nagalakshmi
AU  - B. Shravani
AU  - M. Mounika
AU  - K. Vijay Krishna
AU  - A. Venkata Devendra Kumar
AU  - C. Yesovardhan
PY  - 2026
DA  - 2026/06/16
TI  - ANN-Based Reactive Power Control in V2G Hybrid Microgrids
BT  - Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
PB  - Atlantis Press
SP  - 598
EP  - 606
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-693-7_59
DO  - 10.2991/978-94-6239-693-7_59
ID  - Nagalakshmi2026
ER  -