Paper Info
Title
Decentralized Model Predictive Control Of Plug-In Electric Vehicles Charging Based On The Alternating Direction Method Of Multipliers
Abstract
This paper presents a decentralized Model Predictive Control (MPC) for Plug-in Electric Vehicles (PEVs) charging, in presence of both network and drivers' requirements. The open loop optimal control problem at the basis of MPC is modeled as a consesus with regularization optimization problem and solved by means of the decentralized Alternating Direction Method of Multipliers (ADMM). Simulations performed on a realistic test case show the potential of the proposed control approach and allow to provide a preliminary evaluation of the compatibility between the required computational effort and the application in real time charging control system.
Year
DOI
Venue
2020
10.1109/MED48518.2020.9183137
2020 28TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED)
DocType
ISSN
Citations 
Conference
2325-369X
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Roberto Germana100.68
Francesco Liberati26210.69
Alessandro Di Giorgio3447.39