COORDINATED ELECTRIC VEHICLE CHARGING - PERFORMANCE ANALYSIS OF DEVELOPED ALGORITHMS

Daniel-Leon Schultis, Alfred Einfalt, Paul Zehetbauer, Daniel Herbst

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung

Abstract

The increasing use of electric vehicle charging stations with high simultaneity may provoke overloading of low voltage grids. These congestions can be managed by using algorithms that coordinate the distributed charging processes. This study includes a load flow-based performance analysis of three coordination algorithms that allow for charging with either minimal or maximal power. The algorithms differ in the number of control signals they specify: the use of one global control signal, one control signal per feeder, and one control signal per charging station is considered. The performance of each algorithm is analysed for complete and rudimentary knowledge of the photovoltaic production and the consumption of household appliances. Results show that all algorithms effectively mitigate transformer and line segment overloading. The more individual control signals are specified, the lower is the resulting average charging time, and the higher is the energy loss. In the analysed scenario, the lack of knowledge concerning the power contributions of photovoltaic systems and household appliances does not significantly impair the performance of the algorithms.
OriginalspracheEnglisch
TitelCIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution
Seitenumfang5
ISBN (elektronisch)978-1-83953-591-8
DOIs
PublikationsstatusVeröffentlicht - Sept. 2021
Veranstaltung26th International Conference on Electricity Distribution (CIRED), 2021 -
Dauer: 20 Sept. 202123 Sept. 2021

Konferenz

Konferenz26th International Conference on Electricity Distribution (CIRED), 2021
Zeitraum20/09/2123/09/21

Research Field

  • Power System Planning and Operation

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