% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@INPROCEEDINGS{Li:1049198,
author = {Li, Chuan and Carta, Daniele and Benigni, Andrea},
title = {{L}aguerre-{B}ased {MPC} for {R}eal-{T}ime {V}2{G}
{O}peration in {D}istribution {N}etworks},
publisher = {IEEE},
reportid = {FZJ-2025-05280},
pages = {1-6},
year = {2025},
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.},
month = {Jun},
date = {2025-06-29},
organization = {2025 IEEE Kiel PowerTech, Kiel
(Germany), 29 Jun 2025 - 3 Jul 2025},
cin = {ICE-1},
cid = {I:(DE-Juel1)ICE-1-20170217},
pnm = {1121 - Digitalization and Systems Technology for
Flexibility Solutions (POF4-112) / 1122 - Design, Operation
and Digitalization of the Future Energy Grids (POF4-112) /
1123 - Smart Areas and Research Platforms (POF4-112) /
LLEC::VxG - Integration von "Vehicle-to-grid"
(BMBF-03SF0628)},
pid = {G:(DE-HGF)POF4-1121 / G:(DE-HGF)POF4-1122 /
G:(DE-HGF)POF4-1123 / G:(DE-Juel1)BMBF-03SF0628},
typ = {PUB:(DE-HGF)8},
doi = {10.1109/PowerTech59965.2025.11180516},
url = {https://juser.fz-juelich.de/record/1049198},
}