Distributed dynamic pricing in electricity market with information privacy

Toru Namerikawa, Yoshihiro Okawa

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In the future power network, power consumers as well as power generators participate in electricity market trading as selfish market players. Dynamic pricing is one of the useful tools to manage such networks in a distributed manner by changing electricity prices appropriately. In this chapter, we show distributed price decision procedures regarding the dynamic pricing to maximize social welfare in a power grid with information privacy of market players. Specifically, we first deal with an electricity market that covers multiple regional areas in a power grid and propose a market trading algorithm to derive the optimal regional electricity prices based on alternating decision making of market players. Subsequently, we deal with an electricity market in one regional area where an aggregator participates in the market trading as a mediator between the market operator and consumers. For this market, we propose a trading algorithm to adjust power demand of consumers depending on their lifestyles in a day-ahead electricity market. This chapter also shows the convergence properties of the proposed market trading algorithms and illustrates that these methods enable us not only to derive the optimal electricity prices but also to improve their convergence speed through numerical simulation.

Original languageEnglish
Title of host publicationEconomically Enabled Energy Management
Subtitle of host publicationInterplay Between Control Engineering and Economics
PublisherSpringer Singapore
Pages213-244
Number of pages32
ISBN (Electronic)9789811535765
ISBN (Print)9789811535758
DOIs
Publication statusPublished - 2020 Jan 1

ASJC Scopus subject areas

  • Economics, Econometrics and Finance(all)
  • Business, Management and Accounting(all)
  • Engineering(all)

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