Coordinated charging strategy of electric vehicle charging station based on combination of linear power flow and genetic algorithm

Xiaoxue Rong; Bo Wang; Chuanjun Shao; Guangyuan Yu; Yan'An Wang; Qiming Sun; Zhaohong Bie

doi:10.1109/APPEEC.2016.7779793

Coordinated charging strategy of electric vehicle charging station based on combination of linear power flow and genetic algorithm

Xiaoxue Rong
, Bo Wang
, Chuanjun Shao
, Guangyuan Yu
, Yan'An Wang
, Qiming Sun
, Zhaohong Bie

School of Electrical Engineering

Shandong Electric Power Research Institute

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

13 Scopus citations

Abstract

To reduce the negative effects caused by electric vehicles (EVs), this paper proposes a coordinated charging strategy for batteries in EV charging station. According to the charging characteristics of EV batteries, the strategy is established to minimize the sum of squares of the substation, which could consider the number of battery chargers, EVs' needs for batteries, power limit of EV charging and switching station and substation, node voltage and so on. By combining the method of power flow linearization and genetic algorithm, the optimal charging starting time of each battery can be obtained quickly, which could reduce the sum of squares and P-V difference of power grid. The correctness and efficiency of the proposed strategy are validated by a EV charging and switching station as a case.

Original language	English
Title of host publication	IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference
Publisher	IEEE Computer Society
Pages	1772-1776
Number of pages	5
ISBN (Electronic)	9781509054183
DOIs	https://doi.org/10.1109/APPEEC.2016.7779793
State	Published - 9 Dec 2016
Event	2016 IEEE PES Asia Pacific Power and Energy Engineering Conference, APPEEC 2016 - Xi'an, China Duration: 25 Oct 2016 → 28 Oct 2016

Publication series

Name	Asia-Pacific Power and Energy Engineering Conference, APPEEC
Volume	2016-December
ISSN (Print)	2157-4839
ISSN (Electronic)	2157-4847

Conference

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

Keywords

coordinated charging strategy
electric vehicle
linear power flow
power network limits

Access to Document

10.1109/APPEEC.2016.7779793

Cite this

Rong, X., Wang, B., Shao, C., Yu, G., Wang, YA., Sun, Q., & Bie, Z. (2016). Coordinated charging strategy of electric vehicle charging station based on combination of linear power flow and genetic algorithm. In IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference (pp. 1772-1776). Article 7779793 (Asia-Pacific Power and Energy Engineering Conference, APPEEC; Vol. 2016-December). IEEE Computer Society. https://doi.org/10.1109/APPEEC.2016.7779793

Rong, Xiaoxue ; Wang, Bo ; Shao, Chuanjun et al. / Coordinated charging strategy of electric vehicle charging station based on combination of linear power flow and genetic algorithm. IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference. IEEE Computer Society, 2016. pp. 1772-1776 (Asia-Pacific Power and Energy Engineering Conference, APPEEC).

@inproceedings{bac08b5727364a7ab8bf9892ac2c701f,

title = "Coordinated charging strategy of electric vehicle charging station based on combination of linear power flow and genetic algorithm",

abstract = "To reduce the negative effects caused by electric vehicles (EVs), this paper proposes a coordinated charging strategy for batteries in EV charging station. According to the charging characteristics of EV batteries, the strategy is established to minimize the sum of squares of the substation, which could consider the number of battery chargers, EVs' needs for batteries, power limit of EV charging and switching station and substation, node voltage and so on. By combining the method of power flow linearization and genetic algorithm, the optimal charging starting time of each battery can be obtained quickly, which could reduce the sum of squares and P-V difference of power grid. The correctness and efficiency of the proposed strategy are validated by a EV charging and switching station as a case.",

keywords = "coordinated charging strategy, electric vehicle, linear power flow, power network limits",

author = "Xiaoxue Rong and Bo Wang and Chuanjun Shao and Guangyuan Yu and Yan'An Wang and Qiming Sun and Zhaohong Bie",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference, APPEEC 2016 ; Conference date: 25-10-2016 Through 28-10-2016",

year = "2016",

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doi = "10.1109/APPEEC.2016.7779793",

language = "英语",

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Rong, X, Wang, B, Shao, C, Yu, G, Wang, YA, Sun, Q & Bie, Z 2016, Coordinated charging strategy of electric vehicle charging station based on combination of linear power flow and genetic algorithm. in IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference., 7779793, Asia-Pacific Power and Energy Engineering Conference, APPEEC, vol. 2016-December, IEEE Computer Society, pp. 1772-1776, 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference, APPEEC 2016, Xi'an, China, 25/10/16. https://doi.org/10.1109/APPEEC.2016.7779793

Coordinated charging strategy of electric vehicle charging station based on combination of linear power flow and genetic algorithm. / Rong, Xiaoxue; Wang, Bo; Shao, Chuanjun et al.
IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference. IEEE Computer Society, 2016. p. 1772-1776 7779793 (Asia-Pacific Power and Energy Engineering Conference, APPEEC; Vol. 2016-December).

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

TY - GEN

T1 - Coordinated charging strategy of electric vehicle charging station based on combination of linear power flow and genetic algorithm

AU - Rong, Xiaoxue

AU - Wang, Bo

AU - Shao, Chuanjun

AU - Yu, Guangyuan

AU - Wang, Yan'An

AU - Sun, Qiming

AU - Bie, Zhaohong

PY - 2016/12/9

Y1 - 2016/12/9

N2 - To reduce the negative effects caused by electric vehicles (EVs), this paper proposes a coordinated charging strategy for batteries in EV charging station. According to the charging characteristics of EV batteries, the strategy is established to minimize the sum of squares of the substation, which could consider the number of battery chargers, EVs' needs for batteries, power limit of EV charging and switching station and substation, node voltage and so on. By combining the method of power flow linearization and genetic algorithm, the optimal charging starting time of each battery can be obtained quickly, which could reduce the sum of squares and P-V difference of power grid. The correctness and efficiency of the proposed strategy are validated by a EV charging and switching station as a case.

AB - To reduce the negative effects caused by electric vehicles (EVs), this paper proposes a coordinated charging strategy for batteries in EV charging station. According to the charging characteristics of EV batteries, the strategy is established to minimize the sum of squares of the substation, which could consider the number of battery chargers, EVs' needs for batteries, power limit of EV charging and switching station and substation, node voltage and so on. By combining the method of power flow linearization and genetic algorithm, the optimal charging starting time of each battery can be obtained quickly, which could reduce the sum of squares and P-V difference of power grid. The correctness and efficiency of the proposed strategy are validated by a EV charging and switching station as a case.

KW - coordinated charging strategy

KW - electric vehicle

KW - linear power flow

KW - power network limits

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M3 - 会议稿件

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Rong X, Wang B, Shao C, Yu G, Wang YA, Sun Q et al. Coordinated charging strategy of electric vehicle charging station based on combination of linear power flow and genetic algorithm. In IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference. IEEE Computer Society. 2016. p. 1772-1776. 7779793. (Asia-Pacific Power and Energy Engineering Conference, APPEEC). doi: 10.1109/APPEEC.2016.7779793

Coordinated charging strategy of electric vehicle charging station based on combination of linear power flow and genetic algorithm

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