Δημοσιεύσεις

Project Acronym: DECAS
Title: Dealing with the emerging Electric energy distribution Challenges using Advanced Simulation capabilities
Affiliation: school of pedagogical and technological education
Pi: Lambros Ekonomou
Research Field: engineering

Calculating Operational Patterns for Electric Vehicle Charging on a Real Distribution Network Based on Renewables’ Production
by Lazarou, Stavros, Vita, Vasiliki, Christodoulou, Christos and Ekonomou, Lambros
Abstract:
The connection of electric vehicles to distribution networks has been an emerging issue of paramount importance for power systems. On one hand, it provides new opportunities for climate change mitigation, if electric energy used for charging is produced from zero emission sources. On the other hand, it stresses networks that are now required to accommodate, in addition to the loads and production from distributed generation they are initially designed for, loads from electric vehicles charging. In order to achieve maximum use of the grid without substantially affecting its performance, these issues have to be addressed in a coordinated manner, which requires adequate knowledge of the system under consideration. It is advantageous that electric vehicle charging can be controlled to a certain degree. This research provides better understanding of real distribution networks’ operation, proposing specific operational points through minimizing electric vehicle charging effects. The probabilistic Monte Carlo method on high performance computers is used for the calculations.
Reference:
Calculating Operational Patterns for Electric Vehicle Charging on a Real Distribution Network Based on Renewables’ Production (Lazarou, Stavros, Vita, Vasiliki, Christodoulou, Christos and Ekonomou, Lambros), In Energies, volume 11, 2018.
Bibtex Entry:
@article{en11092400,
 author = {Lazarou, Stavros and Vita, Vasiliki and Christodoulou, Christos and Ekonomou, Lambros},
 title = {Calculating Operational Patterns for Electric Vehicle Charging on a Real Distribution Network Based on Renewables’ Production},
 journal = {Energies},
 volume = {11},
 year = {2018},
 bibyear = {2018},
 number = {9},
 article number = {2400},
 url = {http://www.mdpi.com/1996-1073/11/9/2400},
 issn = {1996-1073},
 abstract = {The connection of electric vehicles to distribution networks has been an emerging issue of paramount importance for power systems. On one hand, it provides new opportunities for climate change mitigation, if electric energy used for charging is produced from zero emission sources. On the other hand, it stresses networks that are now required to accommodate, in addition to the loads and production from distributed generation they are initially designed for, loads from electric vehicles charging. In order to achieve maximum use of the grid without substantially affecting its performance, these issues have to be addressed in a coordinated manner, which requires adequate knowledge of the system under consideration. It is advantageous that electric vehicle charging can be controlled to a certain degree. This research provides better understanding of real distribution networks’ operation, proposing specific operational points through minimizing electric vehicle charging effects. The probabilistic Monte Carlo method on high performance computers is used for the calculations.},
 doi = {0},
}