Research on distribution network planning considering electric vehicle user behavior in peak and valley price context

doi:10.3969/j.issn.1009-1831.2019.02.002

Home > Archive>Volume 21, Issue 2, 2019 >05-09. DOI:10.3969/j.issn.1009-1831.2019.02.002

Research on distribution network planning considering electric vehicle user behavior in peak and valley price context
DOI:
                        10.3969/j.issn.1009-1831.2019.02.002
                    
CSTR:
                        
Author:
                        
Affiliation:(1. Guangzhou Power Supply Company, Guangzhou 510620, China;2. Hangzhou Economic and Informatization Committee, Hangzhou 310016, China;3. Economic and Technological Research Institute of Shaanxi Power Company, Xi’an 710075, China;4. School of Electrical Engineering, Southeast University, Nanjing 210096, China)
Clc Number:F407.61；U469.72；TM715
Fund Project:This work is supported by Science and Technology Project of State Grid（No.8516000692）

Article

Figures

Metrics

Reference

Cited by

Materials

Comments

Abstract:

As a new type of transportation tool, electric vehicle（EV）becomes more and more popular among families. However,its charging and discharging processes are highly random due to the influence of users’behaviors. Based on peak and valley price, an electric vehicle load model considering user behavior characteristics is constructed, and the EV load in a region in 2020 is predicted.The influence of electric EV user behavior characteristics on distribution network planning is studied under the constraint of distribution network planning. The results of a numerical example show that the economic performance of the distribution network is optimal when the reverse power of some electric vehicles is considered.

Reference

Cited by

Get Citation

WU Qike, CHEN Xinru, JIANG Ning, SONG Tianli, LI Yang. Research on distribution network planning considering electric vehicle user behavior in peak and valley price context[J].,2019,21(2):05-09.

Copy

Article Metrics

Abstract:
PDF:
HTML:
Cited by:

History

Received:May 21,2018
Revised:January 03,2019
Adopted:
Online: March 25,2019
Published:

About the Journal

Information for Authors

Get Citation

Related Videos

Article Metrics

History

Article QR Code