Home » Publication » 26859

Dettaglio pubblicazione

2020, 2020 28th Mediterranean Conference on Control and Automation (MED), Pages 739-745

Decentralized Model Predictive Control of Plug-in Electric Vehicles Charging based on the Alternating Direction Method of Multipliers (04b Atto di convegno in volume)

Germana Roberto, Liberati Francesco, Di Giorgio Alessandro

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.
ISBN: 978-1-7281-5742-9
© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma