Paper Info
Title
Distributed Real-Time Pricing Scheme for Local Power Supplier in Smart Community
Abstract
In this paper, we consider the real-time pricing problem for a small scale local power supplier (LPS) in a smart energy community. The LPS supplies power to the residential users (RUs) in a local area and sells the remaining power to the main grid. Since the selling price to the main grid is relative low, LPS intends to sell more power to the RUs with an appropriate price. The LPS determines the price based on the proposed pricing scheme to maximize its revenue. The price is informed to RUs through the communication infrastructure. According to the announced price of LPS, each RU schedules its power consumption to maximize its utility. We model the interactions between the local power supplier and all users as a one-leader multi-followers Stackelberg game, where the LPS acts as the leader and RUs act as the followers. To address this problem, a distributed algorithm based on information exchange between the LPS and RUs is proposed. Simulation results show that the distributed algorithm converges to the Stackelberg equilibrium.
Year
DOI
Venue
2016
10.1109/ICPADS.2016.0015
2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS)
Keywords
Field
DocType
distributed algorithm,distributed real-time pricing,demand response,Stackelberg game,energy storage,smart grid
Revenue,Smart grid,Computer science,Information exchange,Demand response,Schedule,Distributed algorithm,Stackelberg competition,Grid,Distributed computing
Conference
ISSN
ISBN
Citations 
1521-9097
978-1-5090-5382-7
0
PageRank 
References 
Authors
0.34
15
5
Name
Order
Citations
PageRank
Mu Lan100.34
Yu Nuo2325.76
Huang Hejiao36615.07
Du Hongwei434341.34
Xiaohua Jia54609303.30