Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/67397
Title: Building agents for power trading agent competition (TAC)
Authors: Chen, Jiaqi
Keywords: DRNTU::Science
Issue Date: 2016
Abstract: Sustainable power system requires not only environmentally friendly, cost-efficient and renewable energy, but more efficient than the allocation. Power Trading Agent Competition (Power TAC) is organized by the independent transaction AAMAS annual contest, which models the future energy market. Parties involved in simulation model including customers, power producers, and brokers. Customer representatives of both power consumption models, such as daily necessities, small to large -scale enterprises, multi- residential buildings, wind farms, solar panels and electric vehicle owners. At the same time who can resell excess electricity market parties. Brokers aim to provide electricity in the wholesale market for the energy customers and trading buy low sell high, and carefully balance their portfolio of power supply and demand profit. Power tariff duties may be generally who consume power or power purchase price from customers who generate electricity, and additional resale customers. In the wholesale market, the broker can buy or sell by the producers, industrial sites and other power brokers. In summary, profit maximizer broker acts as an intermediary in the competition. The goal of the project is to establish a trade agency, to maximize profits provided scenarios. Therefore, we studied a number of other universities and research work already completed brokers. In addition, we also investigated a number of classical algorithms in order to make some assumptions, and through the establishment of a proxy simple scenario.
URI: http://hdl.handle.net/10356/67397
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
Report_Chen Jiaqi.pdf
  Restricted Access
939.01 kBAdobe PDFView/Open

Page view(s)

131
Updated on Jun 22, 2021

Download(s) 50

18
Updated on Jun 22, 2021

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.