Name
Abstract | ||
|---|---|---|
This paper assesses the effect of appearance of plug-in electric vehicles (PHEVs) on the management of Micro-Grids (MGs) considering different charging schemes. The MG includes different renewable sources such as Wind Turbine (WT), Fuel Cell (FC), Micro Turbine (MT) and Photovoltaics (PVs) as well as battery as the storage device. In order to make the analysis practical, different classes of PHEVs and chargers are included in the proposed problem. The optimization framework tries to optimize the total MG cost when considering several operational and security constraints. In order to solve the problem optimally, a new modification method based on bat algorithm (BA) is employed. In addition, a new modification method is introduced for the BA to reduce the possibility of trapping in local optima. The simulation results show the satisfying performance of the proposed method for managing the MG with high penetration level of PHEVs. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.3233/IFS-151674 | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS |
Keywords | Field | DocType |
Plug-in Hybrid Electric Vehicles (PHEVs),Renewable Micro-Grid,storage device,Modified Bat Algorithm (MBA) | Automotive engineering,Renewable energy,Green vehicle,Artificial intelligence,Plug-in,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
29 | 5 | 1064-1246 |
Citations | PageRank | References |
1 | 0.40 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alireza Abbasi | 1 | 8 | 3.43 |
| Somayeh Abbasi | 2 | 2 | 1.12 |
| Javad Ansari | 3 | 1 | 1.07 |
| Ehsan Rahmani | 4 | 1 | 0.73 |