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Negotiation strategy of discharging price between power grid and electric vehicles considering multiāagent
- Source :
- IET Generation, Transmission & Distribution. 14:833-844
- Publication Year :
- 2020
- Publisher :
- Institution of Engineering and Technology (IET), 2020.
-
Abstract
- 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.
- Subjects :
- Operations research
Electricity price
Computer science
020209 energy
Multi-agent system
media_common.quotation_subject
020208 electrical & electronic engineering
Scheduling (production processes)
Energy Engineering and Power Technology
02 engineering and technology
Bidding
Negotiation
Control and Systems Engineering
Peak load
Optimal scheduling
0202 electrical engineering, electronic engineering, information engineering
Power grid
Electrical and Electronic Engineering
media_common
Subjects
Details
- ISSN :
- 17518695
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- IET Generation, Transmission & Distribution
- Accession number :
- edsair.doi...........491c9cae543d9deb7b5ac878b6aadc96
- Full Text :
- https://doi.org/10.1049/iet-gtd.2018.7017