Identification of important locational, physical and economic dimensions in power system transient stability margin estimation

Hamilton, Robert I. and Papadopoulos, Panagiotis N. and Bukhsh, Waqquas and Bell, Keith (2022) Identification of important locational, physical and economic dimensions in power system transient stability margin estimation. IEEE Transactions on Sustainable Energy, 13 (2). pp. 1135-1146. ISSN 1949-3029 (https://doi.org/10.1109/TSTE.2022.3153843)

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Abstract

Increasing renewable generation can lead to significant spatial and temporal changes to the rotor angle stability boundary, such that critical contingencies may drastically change. Additionally, the inherent variability of renewables increases the number of operational scenarios that require stability assessment. This paper presents a methodology whereby a series of location-specific Decision Tree Regressors are trained, using power system variables to estimate the Critical Clearing Time (CCT) on a locational basis throughout a network. Permutation feature importance is used to reveal the most important power system variables for CCT estimation at each location (capturing aspects related to physical system characteristics, operational parameters as well as economic dispatch). Consequently, estimation of the duration and location of the critical fault can also be made – along with identification of important system variables that explicitly impact the critical fault. Results on the IEEE 39-bus network show accurate estimation of locational CCTs, with a mean absolute percentage error of 1.19% on average. Moreover, the mean absolute percentage error for the minimum CCT is 0.49%. An analysis of important power system variables is provided, demonstrating how the method can assist in the design of targeted locational interventions to improve the stability margin at specific locations.

  • Item type:Article
    ID code:79704
    Dates:
    Date
    Event
    30 April 2022
    Published
    25 February 2022
    Published Online
    22 February 2022
    Accepted
    Notes:© 2021 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:23 Feb 2022 16:20
    Last modified:23 Apr 2024 00:20
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/79704
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