Peer effect-based demand response in smart grid: a game theoretical approach

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In social and economic fields, the peer effect and its influence gradually attract public attention. In this paper, we explore the interactions between a load-serving entity and a group of households in a smart grid community and put forward a peer effect-based demand response (PEDR) scheme applying dynamic pricing. A two-stage Stackelberg game based framework is established in which the electricity price and consumption decisions are derived adopting backward induction. We obtain the closed-form solution of the game (i.e., the equilibrium) in each stage and prove its existence and uniqueness. Simulation results indicate that the PEDR scheme shows superiority in energy consumption and peak to average ratio (PAR) compared with the baseline scheme without considering peer effects. Additionally, we study the impacts of social network structure of users and show that by setting the central node to be a frugal consumer in star topology structure, the performance of PEDR can be further improved. Such evaluations, as we believe, shall provide useful insights for energy providers to devise rational demand response policies.

Original languageEnglish
Title of host publicationProceedings - IEEE Global Communications Conference, GLOBECOM 2020
PublisherIEEE
Number of pages6
DOIs
Publication statusPublished - 25 Jan 2021
Event2020 IEEE Global Communications Conference, GLOBECOM 2020 - Virtual, Taipei, Taiwan
Duration: 07 Dec 202011 Dec 2020

Publication series

NameProceedings - IEEE Global Communications Conference, GLOBECOM
ISSN (Print)2334-0983

Conference

Conference2020 IEEE Global Communications Conference, GLOBECOM 2020
Country/TerritoryTaiwan
CityVirtual, Taipei
Period07/12/202011/12/2020

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing

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