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Results of a Monte Carlo based risk analysis on the impact of PEVs to the distribution grid
- Source :
- 2016 IEEE International Energy Conference (ENERGYCON).
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
Abstract
- This paper presents the study results of possible plug in electric vehicle (PEV) integration potentials in a commonly occurring rural distribution grid in Germany as a worst case scenario simulation. This worst case consideration means, that all the simulations are running at a fix defined load point at one specific moment in time. After the simulation case definition, like e.g. the so called “strong load case”, the different in Germany commonly occurring PEV-classes are connected step by step to the 0,4 kV grid. So it is possible to compute the maximum integrable amount of PEVs (of each class) in dependency on the grid operation risks. As the core method the conventional Monte Carlo approach were used in a self-implemented characteristic.
- Subjects :
- 050210 logistics & transportation
Engineering
Mathematical optimization
Dependency (UML)
business.product_category
Integrable system
business.industry
05 social sciences
Monte Carlo method
Worst-case scenario
02 engineering and technology
Grid
Moment (mathematics)
020303 mechanical engineering & transports
0203 mechanical engineering
0502 economics and business
Electric vehicle
Point (geometry)
business
Simulation
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2016 IEEE International Energy Conference (ENERGYCON)
- Accession number :
- edsair.doi...........a22dfc5e26a25583a544c6c4606fc986
- Full Text :
- https://doi.org/10.1109/energycon.2016.7514069