Research on cooperation strategy between wind power and electric vehicle aggregators based on multi-agent and Block chain
Pages 166 - 170
Abstract
With the large-scale network association of wind vitality, the secure and steady operation of the control framework is confronting challenges, and it is troublesome for wind control to realize productivity within the control advertise. In later a long time, with the fast advancement of V2G innovation and the development of blockchain technology, the vitality capacity characteristics of electric vehicles have been tapped as an rising way to fathom the over issues. To reverse the drawback of wind ranches in competing within the control market, this paper ponders the amusement approach between electric vehicles and wind ranches to realize the levelable characteristics of electric vehicle charging stack to level out the anti-peak direction characteristics of wind control beneath the preface of maximizing their particular interface. Given this, this paper sets up the non-cooperative diversion and agreeable diversion models of wind ranches and electric vehicle aggregators separately based on diversion harmony hypothesis. To compensate for the impediments of the diversion hypothesis approach to unravel the non-complete data issue, this paper applies the multi-agent fortification learning strategy to unravel the models.
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March 2022
177 pages
ISBN:9781450395762
DOI:10.1145/3532640
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Published: 07 July 2022
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ICBCT'22
ICBCT'22: The 2022 4th International Conference on Blockchain Technology
March 25 - 27, 2022
Shanghai, China
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