Design and Simulation of a Centralized Self-Healing Scheme for Unbalanced Three-phase Electrical Distribution Systems

Juan Camilo López, Lucas Zenichi Terada, Marcos J. Rider, Qiuwei Wu

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

In case of a permanent fault at the electrical distribution system (EDS), a centralized self-healing scheme (SHS) is deployed to automatically identify the location of the fault and to restore the electrical service to as many users as possible. The service restoration is carried out considering topological and operational constraints, in a short amount of time and with minimal human intervention. A true SHS is only possible within a smart grid context, wherein electrical and topological variables are supervised and remotely controlled via SCADA and smart metering. Thus, this paper designs and simulates a centralized SHS that, after a permanent fault, executes the following set of functions: a three-phase state estimator via nonlinear programming (NLP), a short-term load forecasting method via autoregressive integrated moving average (ARIMA), a bus-matrix-impedance-based fault location method, and a service restoration method via mixed-integer nonlinear programming (MINLP). The proposed SHS has been developed as a geographic information system (GIS) with a graphical user interface (GUI) in python. Results were simulated using real unbalanced three-phase EDS, and the proposed SHS has shown to be adaptive, robust, scalable and fast for real-world applications.
Original languageEnglish
JournalJournal of Control, Automation and Electrical Systems
Number of pages11
ISSN2195-3899
DOIs
Publication statusPublished - 2021

Keywords

  • Centralized self-healing system
  • Geographic information system
  • Graphical user interface
  • Service restoration
  • Unbalanced three-phase electrical distribution systems

Fingerprint

Dive into the research topics of 'Design and Simulation of a Centralized Self-Healing Scheme for Unbalanced Three-phase Electrical Distribution Systems'. Together they form a unique fingerprint.

Cite this