Comprehensive operational planning framework for self-healing control actions in smart distribution grids

Seyed Ali Arefifar, Yasser Abdel Rady I. Mohamed, Tarek H.M. El-Fouly

Research output: Contribution to journalArticlepeer-review

161 Scopus citations

Abstract

Self-healing is a major driving force in the smart grid vision. This paper proposes a comprehensive design and operational planning framework to generate optimum self-healing control actions in a distribution system. For this purpose, a distribution system with optimally allocated distributed generators (DGs) is divided into a set of microgrids with high self-adequacy through allocation of distributed energy storage resources (DESRs) and distributed reactive sources (DRSs). Afterwards, by using the predicted load and generation of renewable-based distributed generators for the next hour of the day and other important factors (self-adequacy in the unfaulted microgrids, total distribution system's energy losses and the total supplied loads according to their requested reliability), the optimum self-healing strategy is planned for the system for all possible future faults. The IEEE 123-bus distribution system is selected as the test system; optimum microgrids are designed and several case studies are presented to demonstrate the effects of optimization coefficients on the optimum self-healing control actions.

Original languageBritish English
Pages (from-to)4192-4200
Number of pages9
JournalIEEE Transactions on Power Systems
Volume28
Issue number4
DOIs
StatePublished - 2013

Keywords

  • Comprehensive planning
  • Control
  • Optimum strategy
  • Self-healing
  • Smart grid

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