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 General Meeting / Conference and Exposition |
| Publisher | IEEE Computer Society |
| Edition | October |
| ISBN (Electronic) | 9781479964154 |
| DOIs | |
| State | Published - 29 Oct 2014 |
| Event | 2014 IEEE Power and Energy Society General Meeting - National Harbor, United States Duration: 27 Jul 2014 → 31 Jul 2014 |
Publication series
| Name | IEEE Power and Energy Society General Meeting |
|---|---|
| Number | October |
| Volume | 2014-October |
| ISSN (Print) | 1944-9925 |
| ISSN (Electronic) | 1944-9933 |
Conference
| Conference | 2014 IEEE Power and Energy Society General Meeting |
|---|---|
| Country/Territory | United States |
| City | National Harbor |
| Period | 27/07/14 → 31/07/14 |
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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