Optimal pricing of electricity by aggregator for demand adjustment of each consumer having appliances

Keita Muto, Yoshihiro Okawa, Toru Namerikawa

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

Abstract

This paper deals with demand adjustment problem of each consumer having appliances by an aggregator based on the optimal pricing problem in a day-ahead electricity market. In this paper, we model consumer, generator, aggregator and design a market mechanism and they act to maximize their own profit based on the power price and decide the electricity supply and demand. The dual decomposition is applied to market problem to maximize the social welfare and the proposed algorithm decides electricity price based on the exchange of information among market participants to solve each distributed problem for improving convergence. In addition, the convergence of this proposed method is proven using Lyapunov stability theorem. Finally, simulation results show that matching of supply and demand is sufficiently achieved.

Original languageEnglish
Title of host publication2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1246-1251
Number of pages6
Volume2017-November
ISBN (Electronic)9784907764579
DOIs
Publication statusPublished - 2017 Nov 10
Event56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 - Kanazawa, Japan
Duration: 2017 Sep 192017 Sep 22

Other

Other56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
CountryJapan
CityKanazawa
Period17/9/1917/9/22

Fingerprint

electricity
Electricity
Pricing
Adjustment
adjusting
Costs
Profitability
Maximise
Decomposition
Electricity Market
Lyapunov Theorem
Lyapunov Stability
Stability Theorem
generators
Welfare
theorems
Profit
decomposition
Generator
Decompose

Keywords

  • Aggregator
  • Demand Response
  • Optimal Pricing

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Optimization
  • Control and Systems Engineering
  • Instrumentation

Cite this

Muto, K., Okawa, Y., & Namerikawa, T. (2017). Optimal pricing of electricity by aggregator for demand adjustment of each consumer having appliances. In 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 (Vol. 2017-November, pp. 1246-1251). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/SICE.2017.8105505

Optimal pricing of electricity by aggregator for demand adjustment of each consumer having appliances. / Muto, Keita; Okawa, Yoshihiro; Namerikawa, Toru.

2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017. Vol. 2017-November Institute of Electrical and Electronics Engineers Inc., 2017. p. 1246-1251.

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

Muto, K, Okawa, Y & Namerikawa, T 2017, Optimal pricing of electricity by aggregator for demand adjustment of each consumer having appliances. in 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017. vol. 2017-November, Institute of Electrical and Electronics Engineers Inc., pp. 1246-1251, 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017, Kanazawa, Japan, 17/9/19. https://doi.org/10.23919/SICE.2017.8105505
Muto K, Okawa Y, Namerikawa T. Optimal pricing of electricity by aggregator for demand adjustment of each consumer having appliances. In 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017. Vol. 2017-November. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1246-1251 https://doi.org/10.23919/SICE.2017.8105505
Muto, Keita ; Okawa, Yoshihiro ; Namerikawa, Toru. / Optimal pricing of electricity by aggregator for demand adjustment of each consumer having appliances. 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017. Vol. 2017-November Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1246-1251
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