Negotiation strategy of discharging price between power grid and electric vehicles considering multi‐agent
Author(s) -
Zhang Qian,
Ding Zhuwei,
Tan Weiyu,
Xie Wenrui,
Li Yan
Publication year - 2020
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.2018.7017
Subject(s) - negotiation , grid , power grid , computer science , multi agent system , power (physics) , artificial intelligence , mathematics , physics , geometry , quantum mechanics , political science , law
The electricity price plays an important role in stimulating electric vehicles (EVs) to participate in the power grid's scheduling. It is necessary to formulate a reasonable discharging price for the power grid and electric vehicles. Here, a negotiation strategy of electric vehicles participating in optimal scheduling under the multi‐agent situation which aims to formulate reasonable discharging price is proposed, and then a two‐stage negotiation model considering multiple agents is established. First, a charging and discharging optimisation scheduling model considering EV travel characteristics is proposed, based on which the bidding limits of the power grid and EV agents are calculated. Then, the negotiation process is divided into two stages. In the first stage, all negotiators offer tentative bidding; in the second stage, negotiators will adjust their bidding based on learning other negotiators and the discharging price is obtained finally. In numerical cases, the proposed negotiation model is proved to be effective in balancing benefits of power grid and electric vehicles as well as peak load shifting.
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