This work presents a study on the optimal control of an electric vehicle (EV) charging station, with a dual objective of minimizing operational expenses and accommodating EV owner preferences. The control frame work employs Model Predictive Control (MPC) to efficiently distribute power among the stations components, encompassing photovoltaic panel (PV), and energy storage system (ESS) battery, the grid connection, and connected EVs. Our MPC scheme takes into account EV owner requirements, with owners providing information about their charging needs (required energy) and departure times when plugging in their vehicles. With this extra information that helps energy management of the system, we exploited the integration of Vehicle-to-Grid (V2G) technology, enabling bidirectional power flow to and from grid. This feature allows EV s to supply electricity to the grid during periods of high demand or when solar energy generation is insufficient. The proposed MPC-based method is validated thr...

MPC-based centralised power control in EV charging station with battery storage system and PV coordination

Ruggero Carli;Sandro Zampieri
2024

Abstract

This work presents a study on the optimal control of an electric vehicle (EV) charging station, with a dual objective of minimizing operational expenses and accommodating EV owner preferences. The control frame work employs Model Predictive Control (MPC) to efficiently distribute power among the stations components, encompassing photovoltaic panel (PV), and energy storage system (ESS) battery, the grid connection, and connected EVs. Our MPC scheme takes into account EV owner requirements, with owners providing information about their charging needs (required energy) and departure times when plugging in their vehicles. With this extra information that helps energy management of the system, we exploited the integration of Vehicle-to-Grid (V2G) technology, enabling bidirectional power flow to and from grid. This feature allows EV s to supply electricity to the grid during periods of high demand or when solar energy generation is insufficient. The proposed MPC-based method is validated thr...
2024
Proceedings della European Control Conference
2024 European Control Conference, ECC 2024
9783907144107
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3513922
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