Dynamic threshold algorithm with simplified appliance identification for smart meter privacy

Yang Zhao, Hany E. Farag, Yong Lian

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Smart meter is one of the key components of smart power grids. The recent interest of smart meters adoption has created two research directions that are in conflict of each other in terms of data collection and user privacy, i.e. appliance identification from the measurements of smart meters and the privacy compensation for such measurements. This paper proposes a dynamic threshold algorithm (DTA) based on the prediction results from a simplified two-step filtering appliance identification algorithm (AIA) to compensate the smart meter data. The battery capacity required by the proposed DTA to achieve the same privacy level is less than 75% of that required by fixed threshold algorithms. Furthermore, the integration of AIA and DTA provides a possible trade-off method to solve the conflict that advancing the simplified two-step filtering AIA before DTA.

    Original languageBritish English
    Title of host publication2016 IEEE Electrical Power and Energy Conference, EPEC 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781509019199
    DOIs
    StatePublished - 5 Dec 2016
    Event2016 IEEE Electrical Power and Energy Conference, EPEC 2016 - Ottawa, Canada
    Duration: 12 Oct 201614 Oct 2016

    Publication series

    Name2016 IEEE Electrical Power and Energy Conference, EPEC 2016

    Conference

    Conference2016 IEEE Electrical Power and Energy Conference, EPEC 2016
    Country/TerritoryCanada
    CityOttawa
    Period12/10/1614/10/16

    Keywords

    • Appliance Identification
    • compensation
    • Dynamic Threshold
    • privacy
    • smart meter

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