Electric vehicle charging and discharging scheduling considering reserve call-up service

Bing Han; Shaofeng Lu; Fei Xue; Lin Jiang

doi:10.1109/ISC2.2017.8090794

Electric vehicle charging and discharging scheduling considering reserve call-up service

Bing Han
, Shaofeng Lu
, Fei Xue
, Lin Jiang

University of Liverpool

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

5 Citations (Scopus)

Abstract

In this paper, an Electric Vehicle (EV) aggregator scheduling strategy is proposed for revenue maximization both in Day-Ahead (DA) and Real-Time (RT) markets. EV aggregator participates in energy and reserve markets to maximize revenue by coordinating charging and discharging operations of EVs based on real-Time price and reserve prices. Firstly, the economic benefits of each EV owner are considered in aggregator scheduling, i.e.To take owners economic benefits into account. Secondly, the reserve call-up service is regarded as an interrupt for aggregator scheduling in RT market. Case study shows the impact of call-for-reserve from power grids on aggregator revenue. The potential reserve call-up service issue (revenue loss due to stochastic reserve call-up) is presented and two business models for aggregator in reserve market are proposed to solve the reserve call-up service issue. It is found that the reserve callup service information availability in the real-Time market plays an important role for EV aggregator and the common one-price-one-penalty model may not suffice for the practical scheduling of EV aggregators due to the revenue loss caused by the stochastic call-up service.

Original language	English
Title of host publication	2017 International Smart Cities Conference, ISC2 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538625231
DOIs	https://doi.org/10.1109/ISC2.2017.8090794
Publication status	Published - 30 Oct 2017
Event	2017 International Smart Cities Conference, ISC2 2017 - Wuxi, China Duration: 14 Sept 2017 → 17 Sept 2017

Publication series

Name	2017 International Smart Cities Conference, ISC2 2017

Conference

Conference	2017 International Smart Cities Conference, ISC2 2017
Country/Territory	China
City	Wuxi
Period	14/09/17 → 17/09/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

EV aggregator
battery degradation
economic benefits
reserve call-up service
reserve capacity
revenue

Access to Document

10.1109/ISC2.2017.8090794

Cite this

@inproceedings{be62819e45084e6b8ad0529f42c7de46,

title = "Electric vehicle charging and discharging scheduling considering reserve call-up service",

abstract = "In this paper, an Electric Vehicle (EV) aggregator scheduling strategy is proposed for revenue maximization both in Day-Ahead (DA) and Real-Time (RT) markets. EV aggregator participates in energy and reserve markets to maximize revenue by coordinating charging and discharging operations of EVs based on real-Time price and reserve prices. Firstly, the economic benefits of each EV owner are considered in aggregator scheduling, i.e.To take owners economic benefits into account. Secondly, the reserve call-up service is regarded as an interrupt for aggregator scheduling in RT market. Case study shows the impact of call-for-reserve from power grids on aggregator revenue. The potential reserve call-up service issue (revenue loss due to stochastic reserve call-up) is presented and two business models for aggregator in reserve market are proposed to solve the reserve call-up service issue. It is found that the reserve callup service information availability in the real-Time market plays an important role for EV aggregator and the common one-price-one-penalty model may not suffice for the practical scheduling of EV aggregators due to the revenue loss caused by the stochastic call-up service.",

keywords = "EV aggregator, battery degradation, economic benefits, reserve call-up service, reserve capacity, revenue",

author = "Bing Han and Shaofeng Lu and Fei Xue and Lin Jiang",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 International Smart Cities Conference, ISC2 2017 ; Conference date: 14-09-2017 Through 17-09-2017",

year = "2017",

month = oct,

day = "30",

doi = "10.1109/ISC2.2017.8090794",

language = "English",

series = "2017 International Smart Cities Conference, ISC2 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2017 International Smart Cities Conference, ISC2 2017",

}

Han, B, Lu, S, Xue, F & Jiang, L 2017, Electric vehicle charging and discharging scheduling considering reserve call-up service. in 2017 International Smart Cities Conference, ISC2 2017., 8090794, 2017 International Smart Cities Conference, ISC2 2017, Institute of Electrical and Electronics Engineers Inc., 2017 International Smart Cities Conference, ISC2 2017, Wuxi, China, 14/09/17. https://doi.org/10.1109/ISC2.2017.8090794

Electric vehicle charging and discharging scheduling considering reserve call-up service. / Han, Bing; Lu, Shaofeng; Xue, Fei et al.
2017 International Smart Cities Conference, ISC2 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 8090794 (2017 International Smart Cities Conference, ISC2 2017).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Electric vehicle charging and discharging scheduling considering reserve call-up service

AU - Han, Bing

AU - Lu, Shaofeng

AU - Xue, Fei

AU - Jiang, Lin

PY - 2017/10/30

Y1 - 2017/10/30

N2 - In this paper, an Electric Vehicle (EV) aggregator scheduling strategy is proposed for revenue maximization both in Day-Ahead (DA) and Real-Time (RT) markets. EV aggregator participates in energy and reserve markets to maximize revenue by coordinating charging and discharging operations of EVs based on real-Time price and reserve prices. Firstly, the economic benefits of each EV owner are considered in aggregator scheduling, i.e.To take owners economic benefits into account. Secondly, the reserve call-up service is regarded as an interrupt for aggregator scheduling in RT market. Case study shows the impact of call-for-reserve from power grids on aggregator revenue. The potential reserve call-up service issue (revenue loss due to stochastic reserve call-up) is presented and two business models for aggregator in reserve market are proposed to solve the reserve call-up service issue. It is found that the reserve callup service information availability in the real-Time market plays an important role for EV aggregator and the common one-price-one-penalty model may not suffice for the practical scheduling of EV aggregators due to the revenue loss caused by the stochastic call-up service.

AB - In this paper, an Electric Vehicle (EV) aggregator scheduling strategy is proposed for revenue maximization both in Day-Ahead (DA) and Real-Time (RT) markets. EV aggregator participates in energy and reserve markets to maximize revenue by coordinating charging and discharging operations of EVs based on real-Time price and reserve prices. Firstly, the economic benefits of each EV owner are considered in aggregator scheduling, i.e.To take owners economic benefits into account. Secondly, the reserve call-up service is regarded as an interrupt for aggregator scheduling in RT market. Case study shows the impact of call-for-reserve from power grids on aggregator revenue. The potential reserve call-up service issue (revenue loss due to stochastic reserve call-up) is presented and two business models for aggregator in reserve market are proposed to solve the reserve call-up service issue. It is found that the reserve callup service information availability in the real-Time market plays an important role for EV aggregator and the common one-price-one-penalty model may not suffice for the practical scheduling of EV aggregators due to the revenue loss caused by the stochastic call-up service.

KW - EV aggregator

KW - battery degradation

KW - economic benefits

KW - reserve call-up service

KW - reserve capacity

KW - revenue

UR - https://www.scopus.com/pages/publications/85039929369

U2 - 10.1109/ISC2.2017.8090794

DO - 10.1109/ISC2.2017.8090794

M3 - Conference Proceeding

AN - SCOPUS:85039929369

T3 - 2017 International Smart Cities Conference, ISC2 2017

BT - 2017 International Smart Cities Conference, ISC2 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 International Smart Cities Conference, ISC2 2017

Y2 - 14 September 2017 through 17 September 2017

ER -

Electric vehicle charging and discharging scheduling considering reserve call-up service

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this