Privacy-Preserving Economic Dispatch in Competitive Electricity Market

Lei Wu, Jie Li

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

Abstract

With the emerging of smart grid techniques, cyber attackers may be able to gain access to critical energy infrastructure data and strategic market participants may be able to identify their rivals' offers or bids. This paper discusses privacy-preserving economic dispatch (ED) in competitive electricity market, in which individual generation companies and load serving entities can mask their actual bidding and physical data using random numbers before submitting to the System Operator. This would avoid potential information leak of critical energy infrastructure and financial data of market participants. The optimal solution to the original ED could be retrieved from the optimal solution of the proposed privacy-preserving ED. Numerical studies show the effectiveness of the proposed privacy-preserving ED while guaranteeing the same optimal solution.

Original languageEnglish (US)
Title of host publication2018 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538655832
DOIs
StatePublished - Aug 17 2018
Externally publishedYes
Event2018 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2018 - Denver, United States
Duration: Apr 16 2018Apr 19 2018

Publication series

NameProceedings of the IEEE Power Engineering Society Transmission and Distribution Conference
Volume2018-April
ISSN (Print)2160-8555
ISSN (Electronic)2160-8563

Conference

Conference2018 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2018
Country/TerritoryUnited States
CityDenver
Period4/16/184/19/18

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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