>> Nature Journal >> 2023 >> Issue 6 >> 正文
A bi-layer optimization considering new energy system for grid accessible electric vehicles
Author: WU Xiaomeng, YUAN Rongze, LI Fei Time: 2023-11-10 Counts:

WU X M, YUAN R Z, LI F.A bi-layer optimization considering new energy system for grid accessible electric vehicles[J].Journal of Henan Polytechnic University(Natural Science) ,2023,42(6):118-125.

doi:10.16186/j.cnki.1673-9787.2021070034

Received:2021/07/08

Revised:2022/01/26

Published:2023/11/25

A bi-layer optimization considering new energy system for grid accessible electric vehicles

WU Xiaomeng, YUAN Rongze, LI Fei

School of Electronic Engineering,Xi’an Shiyou University,Xi’an 710065,Shaanxi,China

Abstract:In recent years,plug-in electric vehicle (PEV) has developed rapidly.Taking discrepant of the grid connected large number of PEV and clean energy into account,considering the interests of transmission grid,distribution grid and users,a bi-level programming model was proposed.The upper layer optimization in transmission grid aimed at minimizing system operation cost,vehicle owner consumption,wind and light curtailment penalty and total carbon emission,with collaborative scheduling thermal generators,new energy and PEV output,and PEV temporal dimension scheduling was realized;The lower layer optimization in distribution grid level aimed at minimizing the network loss and the PEV spatial dimension scheduling through the optimal power flow calculation was realized.Results of calculating example showed that the effective scheduling of PEV and reasonable power grid planning could reduce the operation cost of power grid and improve its ability to accommodate renewable energy.

Key words:PEV;bi-level optimization;distribution grid;grid programming

  015_2021070034_武晓朦_L.pdf

Lastest