Dynamic programming-based optimisation of charging an electric vehicle fleet system represented by an aggregate battery model

Škugor, Branimir and Deur, Joško (2014) 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. In: 9th Conference on Sustainable Development of Energy, Water and Environment Systems, 20-27.10.2014., Venecija-Istanbul.

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Official URL: https://www.bib.irb.hr/722714

Abstract

This paper proposes a dynamic programming-based (DP) optimisation method of charging an electric vehicle 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 electrical energy cost distributions 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 supervisory level of electric vehicle fleet charging strategies.

Item Type: Conference or Workshop Item (Poster)
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: No
Indexed in Current Contents: No
Date Deposited: 13 Apr 2017 11:14
Last Modified: 16 Oct 2018 11:56
URI: http://repozitorij.fsb.hr/id/eprint/7686

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