Optimal Sizing of On-Board Energy Storage Systems and Stationary Charging Infrastructures for a Catenary-Free Tram

This paper introduces an optimal sizing method for a catenary-free tram, in which both on-board energy storage systems and charging infrastructures are considered. To quantitatively analyze the trade-off between available charging time and economic operation, a daily cost function containing a whole...

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Main Authors: Ying Yang, Weige Zhang, Shaoyuan Wei, Zhenpo Wang
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/23/6227
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spelling doaj-01fc8110e95e409d9a5129c2bb28e9562020-11-27T08:09:57ZengMDPI AGEnergies1996-10732020-11-01136227622710.3390/en13236227Optimal Sizing of On-Board Energy Storage Systems and Stationary Charging Infrastructures for a Catenary-Free TramYing Yang0Weige Zhang1Shaoyuan Wei2Zhenpo Wang3CRRC Zhuzhou Locomotive Co., Ltd., Zhuzhou 412001, ChinaSchool of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, ChinaNational Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing 100081, ChinaThis paper introduces an optimal sizing method for a catenary-free tram, in which both on-board energy storage systems and charging infrastructures are considered. To quantitatively analyze the trade-off between available charging time and economic operation, a daily cost function containing a whole life-time cost of energy storage and an expense of energy supplies is formulated for the optimal sizing problem. A mixed particle swarm optimization algorithm is utilized to find optimal solutions for three schemes: (1) ultracapacitors storage systems with fast-charging at each station; (2) battery storage systems with slow-charging at starting and final stations; (3) battery storage systems with fast-swapping at swapping station . A case study on an existing catenary-free tramline in China is applied to verify the effectiveness of the proposed method. Results show that a daily-cost reduction over 30% and a weight reduction over 40% can be achieved by scheme 2, and a cost saving of 34.23% and a weight reduction of 32.46% can be obtained by scheme 3.https://www.mdpi.com/1996-1073/13/23/6227catenary-free tramon-board energy storage systemcharging infrastructureoptimal sizingeconomic operation
collection DOAJ
language English
format Article
sources DOAJ
author Ying Yang
Weige Zhang
Shaoyuan Wei
Zhenpo Wang
spellingShingle Ying Yang
Weige Zhang
Shaoyuan Wei
Zhenpo Wang
Optimal Sizing of On-Board Energy Storage Systems and Stationary Charging Infrastructures for a Catenary-Free Tram
Energies
catenary-free tram
on-board energy storage system
charging infrastructure
optimal sizing
economic operation
author_facet Ying Yang
Weige Zhang
Shaoyuan Wei
Zhenpo Wang
author_sort Ying Yang
title Optimal Sizing of On-Board Energy Storage Systems and Stationary Charging Infrastructures for a Catenary-Free Tram
title_short Optimal Sizing of On-Board Energy Storage Systems and Stationary Charging Infrastructures for a Catenary-Free Tram
title_full Optimal Sizing of On-Board Energy Storage Systems and Stationary Charging Infrastructures for a Catenary-Free Tram
title_fullStr Optimal Sizing of On-Board Energy Storage Systems and Stationary Charging Infrastructures for a Catenary-Free Tram
title_full_unstemmed Optimal Sizing of On-Board Energy Storage Systems and Stationary Charging Infrastructures for a Catenary-Free Tram
title_sort optimal sizing of on-board energy storage systems and stationary charging infrastructures for a catenary-free tram
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2020-11-01
description This paper introduces an optimal sizing method for a catenary-free tram, in which both on-board energy storage systems and charging infrastructures are considered. To quantitatively analyze the trade-off between available charging time and economic operation, a daily cost function containing a whole life-time cost of energy storage and an expense of energy supplies is formulated for the optimal sizing problem. A mixed particle swarm optimization algorithm is utilized to find optimal solutions for three schemes: (1) ultracapacitors storage systems with fast-charging at each station; (2) battery storage systems with slow-charging at starting and final stations; (3) battery storage systems with fast-swapping at swapping station . A case study on an existing catenary-free tramline in China is applied to verify the effectiveness of the proposed method. Results show that a daily-cost reduction over 30% and a weight reduction over 40% can be achieved by scheme 2, and a cost saving of 34.23% and a weight reduction of 32.46% can be obtained by scheme 3.
topic catenary-free tram
on-board energy storage system
charging infrastructure
optimal sizing
economic operation
url https://www.mdpi.com/1996-1073/13/23/6227
work_keys_str_mv AT yingyang optimalsizingofonboardenergystoragesystemsandstationarycharginginfrastructuresforacatenaryfreetram
AT weigezhang optimalsizingofonboardenergystoragesystemsandstationarycharginginfrastructuresforacatenaryfreetram
AT shaoyuanwei optimalsizingofonboardenergystoragesystemsandstationarycharginginfrastructuresforacatenaryfreetram
AT zhenpowang optimalsizingofonboardenergystoragesystemsandstationarycharginginfrastructuresforacatenaryfreetram
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