The huge growth in the electric vehicle (EV) market is leading to a situation where the power grid will have to meet ever-increasing energy demand. Without advanced energy management systems, this would cause significant congestion and stability challenges. The paper presents a unified system that combines a home energy management system (HEMS) for a residential microgrid with PV, a battery energy storage system (BESS), and a Vehicle-To-Grid (V2G) and Vehicle-To-Vehicle (V2V) energy management for a microgrid of corporate parking lots for EVs. The system harmonizes objectives, constraints, and key performance indicators (KPIs) in both contexts. This research proposes and validates optimization algorithms through simulations that aim to reduce grid dependence, maximize the use of local resources, and meet the needs of both the user and the grid operator.

Vehicle to Grid Algorithms Applied to Residential and Business Low Voltage Microgrids / Mascioli, L.F., Menichelli, R., Golino, A., Loggia, R., Martino, M., Bonfiglio, A., Falvo, M.C., Martirano, L.. - (2026), pp. 330-335. (16th International Conference on Power, Energy, and Electrical Engineering, CPEEE 2026 jpn ) [10.1109/cpeee69412.2026.11521122].

Vehicle to Grid Algorithms Applied to Residential and Business Low Voltage Microgrids

Mascioli, Lorenzo Frattale;Menichelli, Roberto;Golino, Andrea;Loggia, Riccardo;Bonfiglio, Andrea;Falvo, Maria Carmen;Martirano, Luigi
2026

Abstract

The huge growth in the electric vehicle (EV) market is leading to a situation where the power grid will have to meet ever-increasing energy demand. Without advanced energy management systems, this would cause significant congestion and stability challenges. The paper presents a unified system that combines a home energy management system (HEMS) for a residential microgrid with PV, a battery energy storage system (BESS), and a Vehicle-To-Grid (V2G) and Vehicle-To-Vehicle (V2V) energy management for a microgrid of corporate parking lots for EVs. The system harmonizes objectives, constraints, and key performance indicators (KPIs) in both contexts. This research proposes and validates optimization algorithms through simulations that aim to reduce grid dependence, maximize the use of local resources, and meet the needs of both the user and the grid operator.
2026
16th International Conference on Power, Energy, and Electrical Engineering, CPEEE 2026
Electric Vehicle; LVAC; LVDC; Microgrids; V2H; V2V
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Vehicle to Grid Algorithms Applied to Residential and Business Low Voltage Microgrids / Mascioli, L.F., Menichelli, R., Golino, A., Loggia, R., Martino, M., Bonfiglio, A., Falvo, M.C., Martirano, L.. - (2026), pp. 330-335. (16th International Conference on Power, Energy, and Electrical Engineering, CPEEE 2026 jpn ) [10.1109/cpeee69412.2026.11521122].
File allegati a questo prodotto
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1769939
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact