Signal-dependent preprocessing of buffered PMU measurements for hybrid state estimation

Neelabh Kashyap, Stefan Werner, Jarmo Lunden

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

    3 Citations (Scopus)

    Abstract

    This paper presents a signal-dependent scheme for selecting the length of the averaging window for PMU measurements to improve the performance of the power system state estimator. The method is based on the Shewhart method for detecting mean shifts in the buffered data. We suggest ways to tune the parameters of the scheme by deriving expressions for the probability of false alarm and the probability of using the entire buffer given all buffered data have the same mean. We also propose a method to handle oscillatory transients captured by the buffered PMU measurements, which may otherwise degrade the performance of the buffering scheme. Simulations performed on the IEEE 14-bus test system show that the proposed method outperforms an existing state-of-the-art method.

    Original languageEnglish
    Title of host publicationInstrumentation and Measurement Technology Conference Proceedings (I2MTC), 2016 IEEE International
    PublisherIEEE
    Number of pages6
    Volume2016-July
    ISBN (Electronic)978-1-4673-9220-4
    ISBN (Print)978-1-4673-9221-1
    DOIs
    Publication statusPublished - 22 Jul 2016
    MoE publication typeA4 Conference publication
    EventIEEE International Instrumentation and Measurement Technology Conference - Taipei, Taiwan, Republic of China
    Duration: 23 May 201626 May 2016
    Conference number: 12

    Conference

    ConferenceIEEE International Instrumentation and Measurement Technology Conference
    Abbreviated titleMTC
    Country/TerritoryTaiwan, Republic of China
    CityTaipei
    Period23/05/201626/05/2016

    Fingerprint

    Dive into the research topics of 'Signal-dependent preprocessing of buffered PMU measurements for hybrid state estimation'. Together they form a unique fingerprint.

    Cite this