EV FLEXIBILITY CONTRIBUTION TO DISTRIBUTION NETWORK OPERATION
- Resource Type
- Authors
- I. Skalidi; Georgios C. Christoforidis; D Kothona; N. Poulakis; Aggelos S. Bouhouras; Paschalis A. Gkaidatzis
- Source
- The 12th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2020).
- Subject
- Flexibility (engineering)
Distribution networks
Computer science
Mode (statistics)
Particle swarm optimization
Low voltage
Energy (signal processing)
Automotive engineering
Voltage
Power (physics)
- Language
This paper examines how Low Voltage Distribution Networks (DNs) can optimize their voltage profile and minimize their energy losses through the planning ofcharging of Electric Vehicles (EVs).We consider variations concerning the charger and battery capacity of the EVs and we formulate two objective functions. A Particle Swarm Optimization (PSO) algorithm is utilized for the determination of the optimized charging planning of the EVs. The main idea is to examine both the Grid-to- Vehicle (G2V) and Vehicle-to-Grid (V2G) schemes for the EVs and evaluate how each of them contributes to the improvement of the operational characteristics of the DN. Thus, for the G2V scheme the EVs are considered only under charging mode and the algorithm provides their optimal charging planning for one day. Additionally, for the V2G scheme we consider the possibility for EV discharging as well. The simulations are carried out on a real DN with real loading data for the day of the year with the worst voltage profile. The results indicate that under proper charging planning the DN will have a smoother voltage profile with lower power losses. Moreover, the controlled V2G scheme can further improve this situation.