Open AccessAnalysis of Optimal Bidding Strategy of Electric Vehicle Aggregators in Real-Time Energy Market
Author(s) -
Hou Xiu-mei,
Wei Liu,
Shiyu Chen,
Yuenan Guo
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/714/4/042086
Subject(s) - bidding , smart grid , electric vehicle , electricity , matlab , electricity market , computer science , grid , automotive engineering , control (management) , demand response , supply and demand , power (physics) , microeconomics , economics , electrical engineering , engineering , physics , geometry , mathematics , quantum mechanics , artificial intelligence , operating system
A power price control strategy is proposed for the charging of electric vehicles. Aggregation managers centrally manage the batteries of electric vehicles, and take into account the limited power supply of the grid during peak electricity consumption, and adjust the demand for charging through electricity price control. By analyzing the main body of the smart grid power market, the article constructs a multi-objective economic dispatch model, and uses Matlab to perform numerical simulation experiments on the model to verify the feasibility and effectiveness of the model.