Linear Programming-Based Power Management for a Multi-Feeder Ultra-Fast DC Charging Station

Luigi Rubino (), Guido Rubino and Raffaele Esempio
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Luigi Rubino: Department of Engineering, University of Campania Luigi Vanvitelli, 81031 Aversa, CE, Italy
Guido Rubino: Department of Electrical and Information Engineering (DIEI), University of Cassino and South Lazio, 03043 Cassino, FR, Italy
Raffaele Esempio: Department of Engineering, University of Campania Luigi Vanvitelli, 81031 Aversa, CE, Italy

Energies, 2023, vol. 16, issue 3, 1-17

Abstract: The growing number of electric vehicles (EVs) affects the national electricity system in terms of power demand and load variation. Turning our attention to Italy, the number of vehicles on the road is 39 million; this represents a major challenge, as they will need to be recharged constantly when the transition to electric technology is complete. If we consider that the average power is 55 GW and the installed system can produce 120 GW of peak power, we can calculate that with only 5% of vehicles in recharging mode, the power demand increases to 126 GW, which is approximately 140% of installed power. The integration of renewable energy sources will help the grid, but this solution is less useful for handling large load variations that negatively affect the grid. In addition, some vehicles committed to public utility must have a reduced stop time and can be considered to have higher priority. The introduction of priorities implies that the power absorption limit cannot be easily introduced by limiting the number of charging vehicles, but rather by computing the power flow that respects constraints and integrates renewable and local storage power contributions. The problem formulated in this manner does not have a unique solution; in this study, the linear programming method is used to optimise renewable resources, local storage, and EVs to mitigate their effects on the grid. Simulations are performed to verify the proposed method.

Keywords: ultra-fast charging; electric vehicles (EVs); power management (PM); grid-connected converters (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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