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

Author:

Ulrich André1ORCID,Baum Sergej1,Stadler Ingo1,Hotz Christian1,Waffenschmidt Eberhard1

Affiliation:

1. Cologne Institute for Renewable Energies (CIRE), TH Köln, 51519 Cologne, Germany

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.

Funder

Electronic Components and Systems for European Leadership Joint Undertaking

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Reference24 articles.

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3. (2022, April 22). Statista. Available online: https://www.statista.com/statistics/1029872/newly-registered-plug-in-hybrid-and-battery-electric-cars-in-norway/.

4. Economic analysis and optimal energy management models for microgrid systems: A case study in Taiwan;Chen;Appl. Energy,2013

5. Detailed Operation Scheduling and Control for Renewable Energy Powered Microgrids;Zamarripa;Computer Aided Chemical Engineering, Proceedings of the 21st European Symposium on Computer Aided Process Engineering, Athens, Greece, 29 May–1 June 2011,2011

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