Smart Load Tracking and Reporting for Real-Time Metering in Electric Power Grids

Stefan Werner*, Jarmo Lunden

*Corresponding author for this work

    Research output: Contribution to journalArticleScientificpeer-review

    20 Citations (Scopus)

    Abstract

    In this paper, a real-time smart metering approach is proposed that reduces the reporting frequency for a given maximum error constraint. The proposed scheme employs an adaptive change detection filter that tracks the mean trend of the local power consumption, and load estimates are reported only when the estimation error exceeds a prescribed magnitude bound. The run-length of the proposed scheme is analyzed and expressions for the average time to a report are derived. Simulation results with both simulated and real-measurement data are provided to illustrate the tracking performance, and the reductions in the reporting rate. The results show that the proposed scheme can significantly reduce the reporting rate in exchange for a small bounded tracking error.

    Original languageEnglish
    Pages (from-to)1723-1731
    Number of pages9
    JournalIEEE TRANSACTIONS ON SMART GRIDS
    Volume7
    Issue number3
    DOIs
    Publication statusPublished - May 2016
    MoE publication typeA1 Journal article-refereed

    Keywords

    • Change detection
    • load tracking
    • reduced reporting frequency
    • smart grid
    • smart metering
    • DEMAND RESPONSE
    • COMMUNICATION
    • REQUIREMENTS
    • APPLIANCES

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