RT info:eu-repo/semantics/article
T1 Effect of latency and charge control of electric vehicles in power grids with high penetration of photovoltaic solar energy
A1 Dávila-Sacoto, Miguel
A1 González, Luis Gerardo
A1 Zorita-Lamadrid, Ángel Luis
A1 Espinoza, Juan Leonardo
K1 Ingeniería Eléctrica
K1 Microgrids, electric vehicle, high photovoltaic penetration, openDSS, python
K1 3306 Ingeniería y Tecnología Eléctricas
AB Simulating microgrids that incorporate electric vehicles and photovoltaic solar energy, along with their penetration levels, is a complex task that requires considering realistic grid parameters. This study presents an integrated simulation method using Python and OpenDSS, enabling researchers to analyze factors such as load curves, communication links, electric vehicle demand, photovoltaic generation, electric vehicle penetration levels, and connection event probability curves. Additionally, the software includes smoothing algorithms for solar radiation to mitigate voltage fluctuations. The simulation tool also allows for the evaluation of communication delays between the system aggregator and charging stationswhen modifying the charging setpoint at customer connection bars. The results indicate that communication delays significantly impact voltage stability at consumer connection points. Smoothing algorithms, such as the Savitzky-Golay filter, reduce voltage fluctuations by up to 8% in high PV penetration scenarios. Moreover, PV penetration levels around 0.6 were found to create the highest transformer loads, highlighting the need for adaptive control strategies. Voltage deviations at customer loads ranged from +1.5% to −3.2% depending on the delay time and PV penetration.
PB Sage Journals
SN 2753-3735
YR 2025
FD 2025
LK https://uvadoc.uva.es/handle/10324/75914
UL https://uvadoc.uva.es/handle/10324/75914
LA eng
NO Renewable Energies. 2025;3(1)
NO Producción Científica
DS UVaDOC
RD 21-jul-2025