Open AccessModelling 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) - rtp control protocol , computer science , plug in , simulation , dynamic pricing , electric vehicle , automotive engineering , real time computing , computer network , engineering , operating system , microeconomics , economics , power (physics) , physics , quantum mechanics , network packet
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.