Implementation of slow coherency based controlled islanding using DIgSILENT powerfactory and MATLAB

I. Tyuryukanov*, M. Naglič, M. Popov, M.A.M.M. van der Meijden

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientificpeer-review

2 Citations (Scopus)
86 Downloads (Pure)


Intentional controlled islanding is a novel emergency control technique to mitigate wide-area instabilities by intelligently separating the power network into a set of self-sustainable islands. During the last decades, it has gained an increased attention due to the recent severe blackouts all over the world. Moreover, the increasing uncertainties in power system operation and planning put more requirements on the performance of the emergency control and stimulate the development of advanced System Integrity Protection Schemes (SIPS). As compared to the traditional SIPS, such as out-of-step protection, ICI is an adaptive online emergency control algorithm that aims to consider multiple objectives when separating the network. This chapter illustrates a basic ICI algorithm implemented in PowerFactory. It utilises the slow coherency theory and constrained graph partitioning in order to promote transient stability and create islands with a reasonable power balance. The algorithm is also capable to exclude specified network branches from the search space. The implementation is based on the coupling of Python and MATLAB program codes. It relies on the PowerFactory support of the Python scripting language (introduced in version 15.1) and the MATLAB Engine for Python (introduced in release 8.4). The chapter also provides a case study to illustrate the application of the presented ICI algorithm for wide-area instability mitigation in the PST 16 benchmark system.

Original languageEnglish
Title of host publicationAdvanced Smart Grid Functionalities Based on PowerFactory
EditorsFrancisco Gonzalez-Longatt, José Luis Rueda Torres
Place of PublicationCham
Number of pages21
ISBN (Electronic)978-3-319-50532-9
ISBN (Print)978-3-319-50531-2
Publication statusPublished - 2018

Publication series

NameGreen Energy and Technology
ISSN (Print)1865-3529
ISSN (Electronic)1865-3537

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


  • Controlled network separation
  • DIgSILENT powerfactory to MATLAB interface via Python
  • Generator coherency
  • Graph partitioning
  • Intentional controlled islanding
  • Python scripting


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