An optimization model of EVs charging and discharging for power system demand leveling

Guanhao Du; Wenping Cao; Jin Yang; Bowen Zhou

doi:10.1109/APPEEC.2016.7779613

An optimization model of EVs charging and discharging for power system demand leveling

Guanhao Du
, Wenping Cao
, Jin Yang
, Bowen Zhou

Queens University Belfast

Research output: Chapter in Book/Published conference output › Conference publication

8 Citations (Scopus)

Abstract

This paper provides an advanced methodology for optimizing the UK load with various uncertainties which is related with individual driving behaviour. Without the optimized regulation for traditional power system demand, integrating increasing number of electric vehicles (EVs) would have an adverse impact on stability of power systems. Hence, when there are large-scale EVs being plugged into power grid, it is significant to employ this advanced optimization model. In addition, the flexible bidirectional charging and discharging would improve flexibility and stability, compared with the optimized methodology only for EV charging. Three scenarios with different charging and discharging power levels and various penetration levels of EV are discussed in this paper. Simulation results demonstrate that bidirectional EV charging has effective potential to improve the load demand profile, with the increase of EV penetration proportion, and power levels of charging and discharging.

Original language	English
Title of host publication	APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference
Publisher	IEEE
Pages	835-842
Number of pages	8
ISBN (Electronic)	978-1-5090-5418-3
ISBN (Print)	978-1-5090-5417-6
DOIs	https://doi.org/10.1109/APPEEC.2016.7779613
Publication status	Published - 9 Dec 2016
Event	2016 IEEE PES Asia Pacific Power and Energy Engineering Conference - Xi'an, China Duration: 25 Oct 2016 → 28 Oct 2016

Conference

Conference	2016 IEEE PES Asia Pacific Power and Energy Engineering Conference
Abbreviated title	APPEEC 2016
Country/Territory	China
City	Xi'an
Period	25/10/16 → 28/10/16

Bibliographical note

-

Keywords

bidirectional EV charging and discharging
electric vehicle (EV)
optimization model
power system demand

Access to Document

10.1109/APPEEC.2016.7779613

Cite this

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title = "An optimization model of EVs charging and discharging for power system demand leveling",

abstract = "This paper provides an advanced methodology for optimizing the UK load with various uncertainties which is related with individual driving behaviour. Without the optimized regulation for traditional power system demand, integrating increasing number of electric vehicles (EVs) would have an adverse impact on stability of power systems. Hence, when there are large-scale EVs being plugged into power grid, it is significant to employ this advanced optimization model. In addition, the flexible bidirectional charging and discharging would improve flexibility and stability, compared with the optimized methodology only for EV charging. Three scenarios with different charging and discharging power levels and various penetration levels of EV are discussed in this paper. Simulation results demonstrate that bidirectional EV charging has effective potential to improve the load demand profile, with the increase of EV penetration proportion, and power levels of charging and discharging.",

keywords = "bidirectional EV charging and discharging, electric vehicle (EV), optimization model, power system demand",

author = "Guanhao Du and Wenping Cao and Jin Yang and Bowen Zhou",

note = "-; 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference, APPEEC 2016 ; Conference date: 25-10-2016 Through 28-10-2016",

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AU - Du, Guanhao

AU - Cao, Wenping

AU - Yang, Jin

AU - Zhou, Bowen

N1 - -

PY - 2016/12/9

Y1 - 2016/12/9

N2 - This paper provides an advanced methodology for optimizing the UK load with various uncertainties which is related with individual driving behaviour. Without the optimized regulation for traditional power system demand, integrating increasing number of electric vehicles (EVs) would have an adverse impact on stability of power systems. Hence, when there are large-scale EVs being plugged into power grid, it is significant to employ this advanced optimization model. In addition, the flexible bidirectional charging and discharging would improve flexibility and stability, compared with the optimized methodology only for EV charging. Three scenarios with different charging and discharging power levels and various penetration levels of EV are discussed in this paper. Simulation results demonstrate that bidirectional EV charging has effective potential to improve the load demand profile, with the increase of EV penetration proportion, and power levels of charging and discharging.

AB - This paper provides an advanced methodology for optimizing the UK load with various uncertainties which is related with individual driving behaviour. Without the optimized regulation for traditional power system demand, integrating increasing number of electric vehicles (EVs) would have an adverse impact on stability of power systems. Hence, when there are large-scale EVs being plugged into power grid, it is significant to employ this advanced optimization model. In addition, the flexible bidirectional charging and discharging would improve flexibility and stability, compared with the optimized methodology only for EV charging. Three scenarios with different charging and discharging power levels and various penetration levels of EV are discussed in this paper. Simulation results demonstrate that bidirectional EV charging has effective potential to improve the load demand profile, with the increase of EV penetration proportion, and power levels of charging and discharging.

KW - bidirectional EV charging and discharging

KW - electric vehicle (EV)

KW - optimization model

KW - power system demand

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DO - 10.1109/APPEEC.2016.7779613

M3 - Conference publication

AN - SCOPUS:85009964529

SN - 978-1-5090-5417-6

SP - 835

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BT - APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference

PB - IEEE

T2 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference

Y2 - 25 October 2016 through 28 October 2016

ER -

An optimization model of EVs charging and discharging for power system demand leveling

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Keywords

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