A real-time self-healing methodology using model- And measurement-based islanding algorithms

Mohammed Mahdi, V. M. Istemihan Genc*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

In this paper, a new real-time defensive islanding method, which is adaptive to the operating conditions is proposed. In the method, a number of candidate islanding schemes are generated using both model- and measurement-based islanding algorithms after detecting a severe fault in the system by means of a new severity index based on generator bus voltage frequency measurements. Of model-based algorithms, slow coherency-based islanding, in which the prefault measurements are utilized, is adopted. On the other hand, K-means, hierarchical, and fuzzy relational eigenvector centrality-based clustering are employed as measurement-based islanding algorithms, where the postfault measurements of the evolving dynamics after the severe fault are utilized. A faster-than-real-time software platform is, then, employed to validate the success of the candidate schemes in healing the system. Among the successful schemes, the one resulting in the least load imbalance is chosen to be applied. All the computations from the detection of the fault to the application of islanding are performed in real-time, directly after the occurrence of the fault. The proposed method is demonstrated on the 37-generator 127-bus WSCC power test system, and on a model of the Turkish power system to assess the method's performance.

Original languageEnglish
Article number8060544
Pages (from-to)1195-1204
Number of pages10
JournalIEEE Transactions on Smart Grid
Volume10
Issue number2
DOIs
Publication statusPublished - Mar 2019

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Funding

This work was supported by the Scientific and Technical Research Council of Turkey under Grant 114E157. Paper no. TSG-00412-2017. Manuscript received March 24, 2017; revised August 14, 2017; accepted October 3, 2017. Date of publication October 6, 2017; date of current version February 18, 2019. This work was supported by the Scientific and Technical Research Council of Turkey under Grant 114E157. Paper no. TSG-00412-2017. (Corresponding author: V. M. Istemihan Genc.) The authors are with the Department of Electrical Engineering, Istanbul Technical University, 34469 Istanbul, Turkey (e-mail: [email protected]; [email protected]).

FundersFunder number
Consejo Nacional de Investigaciones Científicas y Técnicas
Türkiye Bilimsel ve Teknolojik Araştırma KurumuTSG-00412-2017, 114E157

    Keywords

    • Clustering algorithms
    • Corrective control
    • Islanding
    • Severity index
    • Slow coherency

    Fingerprint

    Dive into the research topics of 'A real-time self-healing methodology using model- And measurement-based islanding algorithms'. Together they form a unique fingerprint.

    Cite this