Škugor, Branimir and Deur, Joško (2015) Dynamic programming-based optimisation of charging an electric vehicle fleet system represented by an aggregate battery model. = Dynamic programming-based optimisation of charging an electric vehicle fleet system represented by an aggregate battery model. Energy, 92 (3). pp. 456-465. ISSN 0360-5442. Vrsta rada: ["eprint_fieldopt_article_type_article" not defined]. Kvartili JCR: Q1 (2015). Točan broj autora: 2.
Full text not available from this repository.Abstract
This paper proposes a dynamic programming-based (DP) optimisation method of charging an electric vehicle (EV) fleet modelled as a single, so- called aggregate battery. The main advantage of the approach is that it provides a globally optimal solution, with a relatively non-excessive computational load owing to a low order of the aggregate battery model. The method is illustrated through a case study of an isolated, hypothetically electrified delivery truck transport system charged from both grid and renewable energy sources (RES). Two scenarios of energy production from RES (with and without excess in RES production), along with several electricity price models are studied. The DP optimisation results are compared with the results obtained by an existing heuristic charging algorithm used in EnergyPLAN software to illustrate the DP algorithm advantages in minimising the charging energy cost and satisfying the aggregate battery charge sustaining conditions. The proposed DP optimisation method can be used in various energy planning studies, as well as a core of the supervisory/aggregator level of hierarchical EV fleet charging strategies.
| Item Type: | Article (["eprint_fieldopt_article_type_article" not defined]) |
|---|---|
| Keywords (Croatian): | electric vehicles, fleet, aggregate battery, charging optimisation, dynamic programming |
| Subjects: | TECHNICAL SCIENCE > Mechanical Engineering |
| Divisions: | 900 Department of Robotics and Production System Automation > 910 Chair of Engineering Automation |
| Indexed in Web of Science: | Yes |
| Indexed in Current Contents: | Yes |
| Quartiles: | Q1 (2015) |
| Date Deposited: | 19 Sep 2016 14:37 |
| Last Modified: | 11 Sep 2018 08:04 |
| URI: | http://repozitorij.fsb.hr/id/eprint/6381 |
Actions (login required)
 |
View Item |
Citations:
Citations: