Open AccessInfluence of electric vehicle access mode on the static voltage stability margin and accommodated capacity of the distribution network
Author(s) -
Tong Xiangqian,
Ma Qiao,
Tang Kaiyu,
Liu Huakun,
Li Cheng
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.8906
Subject(s) - intermittency , randomness , electric vehicle , margin (machine learning) , automotive engineering , node (physics) , computer science , stability (learning theory) , monte carlo method , voltage , adaptability , power (physics) , engineering , electrical engineering , structural engineering , mathematics , physics , mechanics , statistics , quantum mechanics , ecology , machine learning , turbulence , biology
The electric vehicle, if accessed in the distribution network disorderly and extensively, will influence the safe, stable, and economic operation of the network, due to the characteristics of its randomness, intermittency, and duality with source and load. Here, the power demand models of different electric vehicles were established by analysing the behaviour of electric vehicle loads attributed to different users, and the spatial‐temporal distribution pattern of various electric vehicle loads in the distribution network was predicted with the Monte–Carlo method. Based on this regular pattern, an evaluation method for the adaptability of the distribution network to electric vehicles was proposed. Finally, the influence of electric vehicle loads under different access modes on the static voltage stability margin was tested with the IEEE33 node distribution network.