Robust model for EV driven grid impact estimation

Abstract

Electric vehicle presence is continually increasing following various incentives for environmental impact reduction. This increase will directly impact the distribution grids. The additional loading will result in a change in operating conditions. Both the voltage profile and the line loading will be affected requiring investments in grid reinforcement. Since charging stations can be activated in numerous combinations, it is important to detect the worst case in terms of grid impact. This paper presents a model for the worst-case analysis of charging station impact on the distribution grid. The presented model is validated on a representative case study.

Publication
2022 International Conference on Smart Systems and Technologies (SST)
Josip Vasilj
Josip Vasilj
Associate Professor | Department of Power Grids and Substations

Researcher and Associate Professor at the Faculty of Electrical Engineering, Mechanical Engineering, and Naval Architecture in Split, where he teaches courses related to engineering economics, power system analysis, power grids and machine learning. His research focus is the application of advanced numerical methods to problems in the analysis and planning of power system operations.

Damir Jakus
Damir Jakus
Full Professor | Department of Power Grids and Substations

Researcher and a full professor at the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture in Split. His research interests include power system optimization and planning, RES integration, electricity market modeling.