Pricing scheme for aggregate load scheduling of plug-in electric taxi fleet

Author

Jinfeng Yang ; Zaiyue Yang

Author_Institution

State Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China

fYear

2014

fDate

28-30 July 2014

Firstpage

7589

Lastpage

7594

Abstract

This paper aims at scheduling the charging behavior of a large population of plug-in electric taxis (PET) by means of pricing, in order to respond to load requirement of future smart grid in critical situations. The main contributions consist of two parts. First, the charging behavior of a single PET is analyzed, and a threshold-based scheduling algorithm is proposed from the perspective of PET in order to minimize its cost. Second, based on the individual behavior the aggregate charging behavior of a fleet of PETs is analyzed, and a pricing scheme is proposed so that the aggregated load of PET fleet can track a given target load profile. Numerical simulations verify the proposed method.

Keywords

battery powered vehicles; cost reduction; numerical analysis; pricing; scheduling; PET; aggregate charging behavior; aggregate load scheduling; cost minimization; numerical simulation; plug-in electric taxi fleet; pricing scheme; smart grid; threshold-based scheduling algorithm; Aggregates; ISO; Positron emission tomography; Power grids; Pricing; Scheduling; Sociology; Plug-in Electric Taxi; Pricing; Smart Grid; Threshold;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2014 33rd Chinese

Conference_Location

Nanjing

Type

conf

DOI

10.1109/ChiCC.2014.6896264

Filename

6896264