Abstract
Integration of renewable energy source like photovoltaic (PV) units at electric vehicle charging station can reduce operational cost, increase energy efficiency and reliability of charging station for sustainable development. This paper proposes a unique architecture for plug-in-hybrid electric vehicles for DC charging station at the megawatt level by the use of a grid-tied Adaptive Neuro-Fuzzy Inference System (ANFIS) controlled converter powered from PV units to augment grid power during day time and to get smooth DC voltages at battery end during high charging loads. Proposed topology is a mix of grid power and PV power for serving EV loads. To get maximum power from PV, maximum power point tracking algorithm is also used. Numerical simulation results from MATLAB/SIMULINK show the efficacy of the proposed solution. The proposed system achieves desired stable DC charging voltage with fast charging and total harmonic distortion is 0.23%.
| Original language | English |
|---|---|
| Title of host publication | 4th International Conference on Innovative Computing, ICIC 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665400916 |
| DOIs | |
| State | Published - 2021 |
| Externally published | Yes |
| Event | 4th International Conference on Innovative Computing, ICIC 2021 - Lahore, Pakistan Duration: 9 Nov 2021 → 10 Nov 2021 |
Publication series
| Name | 4th International Conference on Innovative Computing, ICIC 2021 |
|---|
Conference
| Conference | 4th International Conference on Innovative Computing, ICIC 2021 |
|---|---|
| Country/Territory | Pakistan |
| City | Lahore |
| Period | 9/11/21 → 10/11/21 |
Bibliographical note
Publisher Copyright:© 2021 IEEE.
Keywords
- ANFIS
- Charging Station
- MPPT
- Solar PV
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Information Systems and Management
- Modeling and Simulation
- Health Informatics
