Measurement based method for online characterization of generator dynamic behaviour in systems with renewable generation

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Papadopoulos, Panagiotis N. and Papadopoulos, Theofilos A. and Chrysochos, Andreas I. and Milanović, Jovica V. (2018) Measurement based method for online characterization of generator dynamic behaviour in systems with renewable generation. IEEE Transactions on Power Systems, 33 (6). pp. 6466-6475. ISSN 0885-8950 (https://doi.org/10.1109/TPWRS.2018.2830817)

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Abstract

This paper introduces a hybrid-methodology for online identification and clustering of generator oscillatory behavior, based on measured responses. The dominant modes in generator measured responses are initially identified using a mode identification technique and then introduced, in the next step, as input into a clustering algorithm. Critical groups of generators that exhibit poorly or negatively damped oscillations are identified, in order to enable corrective control actions and stabilize the system. The uncertainties associated with operation of modern power systems, including Renewable Energy Sources (RES) are investigated, with emphasis on the impact of the dynamic behavior of power electronic interfaced RES.

ORCID iDs

Papadopoulos, Panagiotis N. ORCID logoORCID: https://orcid.org/0000-0001-7343-2590, Papadopoulos, Theofilos A., Chrysochos, Andreas I. and Milanović, Jovica V.;
  • Item type:Article
    ID code:64561
    Dates:
    Date
    Event
    30 November 2018
    Published
    27 April 2018
    Published Online
    22 April 2018
    Accepted
    Notes:© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:22 Jun 2018 08:22
    Last modified:11 Nov 2024 12:02
    URI:https://strathprints.strath.ac.uk/id/eprint/64561
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