Optimal Privacy-Enhancing and Cost-Efficient Energy Management Strategies for Smart Grid Consumers 2018 (English)In: 2018 IEEE Statistical Signal Processing Workshop, SSP 2018, Institute of Electrical and Electronics Engineers Inc. , 2018, p. 144-148Conference paper, Published paper (Refereed)

Abstract [en]

The design of optimal energy management strategies that trade-off consumers' privacy and expected energy cost by using an energy storage is studied. The Kullback-Leibler divergence rate is used to assess the privacy risk of the unauthorized testing on consumers' behavior. We further show how this design problem can be formulated as a belief state Markov decision process problem so that standard tools of the Markov decision process framework can be utilized, and the optimal solution can be obtained by using Bellman dynamic programming. Finally, we illustrate the privacy-enhancement and cost-saving by numerical examples. 

Place, publisher, year, edition, pages

Institute of Electrical and Electronics Engineers Inc. , 2018. p. 144-148

Keywords [en]

Kullback-Leibler divergence, Markov decision process, privacy-cost trade-off, Smart metering system, Consumer behavior, Costs, Decision making, Dynamic programming, Economic and social effects, Electric power transmission networks, Energy management, Markov processes, Risk assessment, Signal processing, Cost trade-off, Design problems, Energy management strategies, Expected energy, Kullback Leibler divergence, Markov Decision Processes, Optimal solutions, Smart metering systems, Smart power grids

National Category

Electrical Engineering, Electronic Engineering, Information Engineering

Identifiers

URN: urn:nbn:se:kth:diva-236742DOI: 10.1109/SSP.2018.8450736ISI: 000720116000167Scopus ID: 2-s2.0-85053832174OAI: oai:DiVA.org:kth-236742DiVA, id: diva2:1257596

Conference

20th IEEE Statistical Signal Processing Workshop, SSP 2018, 10 June 2018 through 13 June 2018

Funder

ICT - The Next Generation

Note

Part of proceedings ISBN 978-1-5386-1571-3

QC 20220923

Available from: 2018-10-22 Created: 2018-10-22 Last updated: 2024-03-18Bibliographically approved

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You, YangLi, ZuxingOechtering, Tobias J.

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You, YangLi, ZuxingOechtering, Tobias J.

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Information Science and EngineeringSchool of Electrical Engineering and Computer Science (EECS)

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Electrical Engineering, Electronic Engineering, Information Engineering

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