Modelling dynamic demand response for plug‐in hybrid electric vehicles based on real‐time charging pricing. Issue 1 (1st January 2017)

• Record Type: Journal Article
• Authors: Lu, Zhigang; Qi, Jintao; Zhang, Jiangfeng; He, Liangce; Zhao, Hao
• Is Part Of: IET generation, transmission & distribution. Volume 11:Issue 1(2017)
• Page Start: 228
• Page End: 235
• Publication Date: 2017-01-01
• Subjects: hybrid electric vehicles -- pricing -- battery powered vehicles; modelling dynamic demand response -- plug‐in hybrid electric vehicles -- real‐time charging pricing -- intelligent charging management module -- whole charging system welfare -- willingness‐to‐charge parameter -- optimal RTCP mechanism; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2016.0882
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : Based on the benefits of real‐time pricing both to individual users and the society as a whole, this study introduces a real‐time charging price (RTCP) mechanism supported by an intelligent charging management module into plug‐in hybrid electric vehicles (PHEVs) charging environment. The optimal RTCP is executed by a distributed algorithm using a utility model to maximise the whole charging system welfare. The willingness‐to‐charge parameter is derived to reflect the charging preferences of PHEV users and their different responses to the RTCP. Several scenarios are established to discuss the effect of both the RTCP and willingness‐to‐charge on charging load. The simulation results show that reasonable charging will be realised based on the optimal RTCP mechanism.