Abstract
The aim of this study is to analyze the impact of Plug-in Electrical Vehicles (PEVs) in distribution systems. The research focuses in power quality (THD) and the additional power amount required in the systems due to PEVs, subjects to different penetration scenarios. The methodology proposed consists in modeling the regular electrical vehicles (EVs) behavior pattern based on the 2009's National Household Travel Survey. The general procedure which applies for any distribution system analysis is proposed and assessed in the IEEE 13 nodes test feeder system. The results validation was done with DSSim-PC software in co-simulation with MATLAB. The PEV's drivers behavior was acquired by a previous Monte Carlo simulation. Once this model is defined, the load profile of EVs charger is introduced in the simulation software. This data allows to assign the arrival time and a charging estimated time for each regular user in the distribution system. The proposed methodology could be potentially used as a planning tool for PEVs penetration in existing distribution systems, therefore EVs inclusion studies could be enhanced.
| Original language | English (US) |
|---|---|
| Title of host publication | 2015 IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2015 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781467376525 |
| DOIs | |
| State | Published - Jul 27 2015 |
| Externally published | Yes |
| Event | 2nd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2015 - Bogota, Colombia Duration: Jun 2 2015 → Jun 4 2015 |
Publication series
| Name | 2015 IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2015 - Proceedings |
|---|
Conference
| Conference | 2nd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2015 |
|---|---|
| Country/Territory | Colombia |
| City | Bogota |
| Period | 6/2/15 → 6/4/15 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Energy Engineering and Power Technology
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