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

Guanhao Du, Wenping Cao, Jin Yang, Bowen Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationAPPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference
PublisherIEEE
Pages835-842
Number of pages8
ISBN (Electronic)978-1-5090-5418-3
ISBN (Print)978-1-5090-5417-6
DOIs
Publication statusPublished - 9 Dec 2016
Event2016 IEEE PES Asia Pacific Power and Energy Engineering Conference - Xi'an, China
Duration: 25 Oct 201628 Oct 2016

Conference

Conference2016 IEEE PES Asia Pacific Power and Energy Engineering Conference
Abbreviated titleAPPEEC 2016
CountryChina
CityXi'an
Period25/10/1628/10/16

Fingerprint

Electric vehicles

Bibliographical note

-

Keywords

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

Cite this

Du, G., Cao, W., Yang, J., & Zhou, B. (2016). An optimization model of EVs charging and discharging for power system demand leveling. In APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference (pp. 835-842). IEEE. https://doi.org/10.1109/APPEEC.2016.7779613
Du, Guanhao ; Cao, Wenping ; Yang, Jin ; Zhou, Bowen. / An optimization model of EVs charging and discharging for power system demand leveling. APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference. IEEE, 2016. pp. 835-842
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Du, G, Cao, W, Yang, J & Zhou, B 2016, An optimization model of EVs charging and discharging for power system demand leveling. in APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference. IEEE, pp. 835-842, 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference, Xi'an, China, 25/10/16. https://doi.org/10.1109/APPEEC.2016.7779613

An optimization model of EVs charging and discharging for power system demand leveling. / Du, Guanhao; Cao, Wenping; Yang, Jin; Zhou, Bowen.

APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference. IEEE, 2016. p. 835-842.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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.

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Du G, Cao W, Yang J, Zhou B. An optimization model of EVs charging and discharging for power system demand leveling. In APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference. IEEE. 2016. p. 835-842 https://doi.org/10.1109/APPEEC.2016.7779613