Optimal power demand management by aggregators using matching theory

Hiroto Ikegami, Toru Namerikawa

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2018 Annual American Control Conference, ACC 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ4584-4589
ページ数6
2018-June
ISBN(印刷版)9781538654286
DOI
出版ステータスPublished - 2018 8 9
イベント2018 Annual American Control Conference, ACC 2018 - Milwauke, United States
継続期間: 2018 6 272018 6 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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