COORDINATED ELECTRIC VEHICLE CHARGING - PERFORMANCE ANALYSIS OF DEVELOPED ALGORITHMS

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.