Methodology for evaluating equivalent models for the dynamic analysis of power systems

Barzegkar-Ntovom, Georgios A. and Kontis, Eleftherios O. and Papadopoulos, Theofilos A. and Papadopoulos, Panagiotis N. (2022) Methodology for evaluating equivalent models for the dynamic analysis of power systems. IEEE Transactions on Power Delivery, 37 (6). pp. 5059-5070. ISSN 0885-8977 (https://doi.org/10.1109/TPWRD.2022.3167136)

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Abstract

The increasing penetration of distributed renewable energy sources drastically alters the dynamic characteristics of distribution networks (DNs). Therefore, several equivalent models have been recently proposed, to analyze more accurately the complex behavior of modern DNs. However, relatively simple models are still commonly used in practice for dynamic power system studies. In addition, dynamic equivalent models for DNs are sensitive to different operating conditions and there is lack of systematic understanding of their performance. Scope of this paper is to propose a methodology for identifying the applicability range in terms of accuracy and generalization capability of several conventional and newly developed equivalent models for the dynamic analysis of modern DNs. A set of metrics is used for the modelling accuracy assessment and a sensitivity analysis framework is introduced to fully quantify the generalization capabilities of DN equivalent models. Based on the above, guidelines and recommendations for the development of robust equivalent models for DN analysis are proposed.

  • Item type:Article
    ID code:82276
    Dates:
    Date
    Event
    31 December 2022
    Published
    13 April 2022
    Published Online
    12 April 2022
    Accepted
    Notes:© 2022 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:08 Sep 2022 12:24
    Last modified:16 Apr 2024 03:28
    URI:https://strathprints.strath.ac.uk/id/eprint/82276
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