Abstract
This paper proposes an online intelligent demand coordination of plug-in electric vehicles (PEVs) in distribution systems. The proposed method is based on the assignment of scores to PEVs through a fuzzy expert system. As well, without violation of grid operational constraints, the PEVs are optimally charged in order to maximize the owners' satisfaction in terms of the energy delivered. The optimization problem of online PEV charging is defined as mixed-integer nonlinear programming. Simulation on a typical distribution network proves the effectiveness of the proposed methodology. Results of the analysis indicate that for more critical PEVs, which have shorter parking duration and higher required charging time, the proposed solution outperforms in more robust energy delivery to the PEV and, accordingly, more satisfaction for the owner.
| Original language | British English |
|---|---|
| Article number | 7078950 |
| Pages (from-to) | 483-494 |
| Number of pages | 12 |
| Journal | IEEE Systems Journal |
| Volume | 10 |
| Issue number | 2 |
| DOIs | |
| State | Published - Jun 2016 |
Keywords
- Decision making
- distribution systems
- electric vehicles
- energy management
- expert systems
- fuzzy logic
- priority-based charge coordination
- smart parking lots
