Modelling dynamic demand response for plug‐in hybrid electric vehicles based on real‐time charging pricing | Zendy

Lu Zhigang | Zendy; Qi Jintao | Zendy; Zhang Jiangfeng | Zendy; He Liangce | Zendy; Zhao Hao | Zendy

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Modelling dynamic demand response for plug‐in hybrid electric vehicles based on real‐time charging pricing

Author(s) -

Lu Zhigang,

Qi Jintao,

Zhang Jiangfeng,

He Liangce,

Zhao Hao

Publication year - 2017

Publication title -

iet generation, transmission and distribution

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.92

H-Index - 110

eISSN - 1751-8695

pISSN - 1751-8687

DOI - 10.1049/iet-gtd.2016.0882

Subject(s) - plug in , demand response , dynamic pricing , computer science , automotive engineering , engineering , electrical engineering , electricity , microeconomics , economics , programming language

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.

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