Open AccessOptimal scheduling model of wind power generation considering the participation of electric vehicle batteries
Author(s) -
Feng Liang,
Wu Kuihua,
Wu Jian,
Sun Wei,
Yang Bo,
Wang Jian,
An Peng
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0668
Subject(s) - automotive engineering , computer science , scheduling (production processes) , electric vehicle , wind power , power (physics) , mathematical optimization , electrical engineering , engineering , mathematics , physics , quantum mechanics
In order to make full use of the cooperation of the electric vehicle batteries and the wind power generation to realise the peak load shifting, this study mainly investigates the optimisation scheduling strategy of synergistic dispatch between electric vehicle batteries and wind power. Firstly, three synergistic dispatch model including electric vehicles, wind power, and power load demand, and three constraint conditions of the available time, the residual capacity of battery, and the charge–discharge power are proposed by considering the characteristics of transportation and power battery of electric vehicles. This optimisation model is then solved by the improved particle swarm optimisation algorithm. Finally, simulation experiments analyse the factors affecting the synergistic optimisation model of electric vehicles and wind power by considering three kinds of wind power output including normal and peak‐regulation and different wind power penetration and the number of electric cars to participate in power grid interaction, and the effectiveness of the synergistic optimisation model to achieve the peak load shifting is confirmed.