Optimal power demand management by aggregators using matching theory

Hiroto Ikegami, Toru Namerikawa

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

1 Citation (Scopus)

Abstract

This paper addresses optimal power demand management in the electricity market. First, we model the behavior of players, consumers, aggregators, and the market. Each consumer entity acts to maximize its own profit. The aggregator decides how much individual consumer power demand should be reduced if total power demand exceeds power generation constraints. We propose a method for an aggregator to make this decision using mechanism design and matching theory. Finally, we show that an algorithm can manage power demand and improve consumers' profits using simulation results.

Original languageEnglish
Title of host publication2018 Annual American Control Conference, ACC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4584-4589
Number of pages6
Volume2018-June
ISBN (Print)9781538654286
DOIs
Publication statusPublished - 2018 Aug 9
Event2018 Annual American Control Conference, ACC 2018 - Milwauke, United States
Duration: 2018 Jun 272018 Jun 29

Other

Other2018 Annual American Control Conference, ACC 2018
CountryUnited States
CityMilwauke
Period18/6/2718/6/29

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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