Maximising Distribution Grid Utilisation by Optimising E-Car Charging Using Smart Meter Gateway Data

André Ulrich (), Sergej Baum, Ingo Stadler, Christian Hotz and Eberhard Waffenschmidt
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André Ulrich: Cologne Institute for Renewable Energies (CIRE), TH Köln, 51519 Cologne, Germany
Sergej Baum: Cologne Institute for Renewable Energies (CIRE), TH Köln, 51519 Cologne, Germany
Ingo Stadler: Cologne Institute for Renewable Energies (CIRE), TH Köln, 51519 Cologne, Germany
Christian Hotz: Cologne Institute for Renewable Energies (CIRE), TH Köln, 51519 Cologne, Germany
Eberhard Waffenschmidt: Cologne Institute for Renewable Energies (CIRE), TH Köln, 51519 Cologne, Germany

Energies, 2023, vol. 16, issue 9, 1-20

Abstract: The transition towards climate neutrality will result in an increase in electrical vehicles, as well as other electric loads, leading to higher loads on electrical distribution grids. This paper presents an optimisation algorithm that enables the integration of more loads into distribution grid infrastructure using information from smart meters and/or smart meter gateways. To achieve this, a mathematical programming formulation was developed and implemented. The algorithm determines the optimal charging schedule for all electric vehicles connected to the distribution grid, taking into account various criteria to avoid violating physical grid limitations and ensuring non-discriminatory charging of all electric vehicles on the grid while also optimising grid operation. Additionally, the expandability of the infrastructure and fail-safe operation are considered through the decentralisation of all components. Various scenarios are modelled and evaluated in a simulation environment. The results demonstrate that the developed optimisation algorithm allows for higher transformer loads compared to a P(U) control approach, without causing grid overload as observed in scenarios without optimisation or P(U) control.

Keywords: electric vehicle; optimisation; linear programming; smart meter gateway; grid load (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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