Laguerre-Based MPC for Real-Time V2G Operation in Distribution Networks

This paper presents a Laguerre-based model predictive control (MPC) framework for real-time Vehicle-to-Grid (V2G) operation in distribution networks. The proposed method integrates electric vehicles (EVs), V2G charging stations, and driver interactions to enable effective V2G operations like voltage regulation. Using Laguerre functions, the computational complexity of the MPC is significantly reduced without compromising performance. Test cases are carried out to validate the proposed control algorithm. Results indicate that the Laguerre-based MPC ensures low computational burden and real-time control capability, especially with a high number of V2G EVs and multiple constraints.

Authors

Institutions

Publication Details

Published
2025-06-29
DOI
https://doi.org/10.1109/powertech59965.2025.11180516
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Laguerre-Based MPC for Real-Time V2G Operation in Distribution Networks

Daniele Carta, Andrea Benigni, Chuan Li
Microgrid Control and Optimization
article

Laguerre-Based MPC for Real-Time V2G Operation in Distribution Networks

Daniele Carta, Andrea Benigni, Chuan Li
article en

Abstract

This paper presents a Laguerre-based model predictive control (MPC) framework for real-time Vehicle-to-Grid (V2G) operation in distribution networks. The proposed method integrates electric vehicles (EVs), V2G charging stations, and driver interactions to enable effective V2G operations like voltage regulation. Using Laguerre functions, the computational complexity of the MPC is significantly reduced without compromising performance. Test cases are carried out to validate the proposed control algorithm. Results indicate that the Laguerre-based MPC ensures low computational burden and real-time control capability, especially with a high number of V2G EVs and multiple constraints.

Forschungszentrum Jülich (DE)
Openalex Percentile: Top 65%
Microgrid Control and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.