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Pregled bibliografske jedinice broj: 722714

Dynamic Programming-based Optimisation of Charging an Electric Vehicle Fleet System Represented by an Aggregate Battery Model


Škugor, Branimir; Deur, Joško
Dynamic Programming-based Optimisation of Charging an Electric Vehicle Fleet System Represented by an Aggregate Battery Model // 9th Conference on Sustainable Development of Energy, Water and Environment Systems
Venecija-Istanbul, 2014. (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Dynamic Programming-based Optimisation of Charging an Electric Vehicle Fleet System Represented by an Aggregate Battery Model

Autori
Škugor, Branimir ; Deur, Joško

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Skup
9th Conference on Sustainable Development of Energy, Water and Environment Systems

Mjesto i datum
Venecija-Istanbul, 20-27.10.2014

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Electric vehicles; fleet; aggregate battery; charging optimisation; dynamic programming

Sažetak
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.

Izvorni jezik
Engleski



POVEZANOST RADA


Profili:

Avatar Url Joško Deur (autor)

Avatar Url Branimir Škugor (autor)


Citiraj ovu publikaciju:

Škugor, Branimir; Deur, Joško
Dynamic Programming-based Optimisation of Charging an Electric Vehicle Fleet System Represented by an Aggregate Battery Model // 9th Conference on Sustainable Development of Energy, Water and Environment Systems
Venecija-Istanbul, 2014. (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Škugor, B. & Deur, J. (2014) Dynamic Programming-based Optimisation of Charging an Electric Vehicle Fleet System Represented by an Aggregate Battery Model. U: 9th Conference on Sustainable Development of Energy, Water and Environment Systems.
@article{article, author = {\v{S}kugor, Branimir and Deur, Jo\v{s}ko}, year = {2014}, keywords = {Electric vehicles, fleet, aggregate battery, charging optimisation, dynamic programming}, title = {Dynamic Programming-based Optimisation of Charging an Electric Vehicle Fleet System Represented by an Aggregate Battery Model}, keyword = {Electric vehicles, fleet, aggregate battery, charging optimisation, dynamic programming}, publisherplace = {Venecija-Istanbul} }
@article{article, author = {\v{S}kugor, Branimir and Deur, Jo\v{s}ko}, year = {2014}, keywords = {Electric vehicles, fleet, aggregate battery, charging optimisation, dynamic programming}, title = {Dynamic Programming-based Optimisation of Charging an Electric Vehicle Fleet System Represented by an Aggregate Battery Model}, keyword = {Electric vehicles, fleet, aggregate battery, charging optimisation, dynamic programming}, publisherplace = {Venecija-Istanbul} }




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