Distributed real-time pricing scheme for local power supplier in smart community

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

8 Scopus Citations
View graph of relations

Author(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings of the International Conference on Parallel and Distributed Systems - ICPADS
PublisherIEEE Computer Society
Pages40-47
ISBN (Electronic)978-1-5090-4457-3
ISBN (Print)978-1-5090-5382-7
Publication statusPublished - Dec 2016
Externally publishedYes

Publication series

Name
ISSN (Print)1521-9097

Conference

Title22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016
PlaceChina
CityWuhan
Period13 - 16 December 2016

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.

Research Area(s)

  • Demand response, Distributed algorithm, Distributed real-time pricing, Energy storage, Smart grid, Stackelberg game

Citation Format(s)

Distributed real-time pricing scheme for local power supplier in smart community. / Mu, Lan; Yu, Nuo; Huang, Hejiao; Du, Hongwei; Jia, Xiaohua.

Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS. IEEE Computer Society, 2016. p. 40-47 7823730.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review