Abstract
A real time method to manage charge scheduling of plug-in electric vehicles (PEVs) is proposed in this paper. The proposed method is based on assigning scores and prioritized PEVs using a fuzzy expert system. Further, the PEVs are optimally charged to maximize the owners' satisfaction, in terms of the delivered energy, without violating system operational constraints. The simulation on a typical distribution network is carried out, which proves the effectiveness of the proposed methodology.
| Original language | British English |
|---|---|
| Title of host publication | 2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014 |
| Publisher | IEEE Computer Society |
| ISBN (Print) | 9781479936526 |
| DOIs | |
| State | Published - 2014 |
| Event | 2014 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2014 - Washington, DC, United States Duration: 19 Feb 2014 → 22 Feb 2014 |
Publication series
| Name | 2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014 |
|---|
Conference
| Conference | 2014 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2014 |
|---|---|
| Country/Territory | United States |
| City | Washington, DC |
| Period | 19/02/14 → 22/02/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- distribution systems
- energy management
- fuzzy decision making
- plug-in electric vehicle
- smart parking lot
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