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Privacy Preserving Consensus-Based Economic Dispatch in Smart Grid Systems

  • Economic dispatch is a well-known optimization problem in smart grid systems which aims at minimizing the total cost of power generation among generation units while maintaining some system constraints. Recently, some distributed consensus-based approaches have been proposed to replace traditional centralized calculation. However, existing approaches fail to protect privacy of individual unitsEconomic dispatch is a well-known optimization problem in smart grid systems which aims at minimizing the total cost of power generation among generation units while maintaining some system constraints. Recently, some distributed consensus-based approaches have been proposed to replace traditional centralized calculation. However, existing approaches fail to protect privacy of individual units like cost function parameters, generator constraints, output power levels, etc. In this paper, we show an attack against an existing consensus-based economic dispatch algorithm from [16] assuming semi-honest non-colluding adversaries. Then we propose a simple solution by combining a secure sum protocol and the consensus-based economic dispatch algorithm that guarantees data privacy under the same attacker model. Our Privacy Preserving Economic Dispatch (PPED) protocol is information-theoretically secure.show moreshow less

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Metadaten
Document Type:Conference Proceeding
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/2140
Bibliografische Angaben
Title (English):Privacy Preserving Consensus-Based Economic Dispatch in Smart Grid Systems
Conference:FNSS: International Conference on Future Network Systems and Security (2. : November 23-25, 2016 : Paris, France)
Author:Avikarsha MandalStaff MemberGND
Year of Publication:2016
Place of publication:Cham
Publisher:Springer
First Page:98
Last Page:110
Parent Title (English):Future Network Systems and Security : Second International Conference, FNSS 2016
Editor:Robin Doss, Selwyn Piramuthu, Wei Zhou
Volume:CCIS 670
ISBN:978-3-319-48020-6 (Softcover)
ISBN:978-3-319-48021-3 (eBook)
DOI:https://doi.org/10.1007/978-3-319-48021-3_7
Language:English
Inhaltliche Informationen
Institutes:Fakultät Elektrotechnik und Informationstechnik (E+I) (bis 03/2019)
Institutes:Bibliografie
Formale Angaben
Open Access: Closed Access 
Licence (German):License LogoUrheberrechtlich geschützt