Conference paper
Grid Frequency Support by Single-Phase Electric Vehicles Employing an Innovative Virtual Inertia Controller
Department of Electrical Engineering, Technical University of Denmark1
Center for Electric Power and Energy, Centers, Technical University of Denmark2
Energy System Management, Center for Electric Power and Energy, Centers, Technical University of Denmark3
Distributed Energy Resources, Center for Electric Power and Energy, Centers, Technical University of Denmark4
The displacement of conventional generation by converter connected resources reduces the available rotational inertia in the power system, which leads to faster frequency dynamics and consequently a less stable frequency behavior. Virtual inertia, employing energy storage systems, could be used to limit the rate of change of frequency of power systems, thus, improving frequency dynamics.
Electric vehicles (EVs) can represent a reliable solution to enhance frequency stability due to their fast response and capability to provide a large amount of aggregated power. On one hand, EVs are capable of adjusting the battery charging process (i.e., power flow) according to pre-defined algorithms.
On the other hand, in case of islanded operation (i.e., low inertia), some of the EV's technical constraints might cause oscillations. This study presents two control algorithms which show that the EVs are capable of providing virtual inertia support. The first controller employs a traditional droop control, while the second one is equipped with an innovative control algorithm to eliminate likely oscillations.
It is shown that, the proposed innovative control algorithm compared to the traditional droop control, assures same effects in terms of frequency but reducing significantly the number of variation of the EV's current set-point.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2016 |
| Pages: | 1-6 |
| Proceedings: | 51st International Universities Power Engineering Conference |
| ISBN: | 150904650X , 150904650x , 1509046518 , 9781509046508 and 9781509046515 |
| Types: | Conference paper |
| DOI: | 10.1109/UPEC.2016.8113980 |
| ORCIDs: | Rezkalla, Michel M.N. , Zecchino, Antonio , Pertl, Michael and Marinelli, Mattia |
Converter Connected Resources Electric Vehicle Grid Inertia Time Domain Simulation Virtual Inertia
Delay effects EV's current set-point EV's technical constraints Electric vehicles Frequency control Frequency conversion Microgrids Oscillators Power system stability aggregated power battery charging process control algorithms converter connected resources distributed power generation electric vehicles energy storage energy storage systems frequency control frequency dynamics frequency stability grid frequency support innovative control algorithm innovative virtual inertia controller low inertia machine control power control power flow power generation control power grids power system pre-defined algorithms rotational inertia single-phase electric vehicles stable frequency behavior virtual inertia support
