Abstract

– The Smart Grids offered the capability to reconfigure and restore the system to regular operation after a fault without human intervention. It is done by installing distributed equipment as input for the monitoring and control system. This study proposed a fast restoration for smart grids by considering technical constraints. Those include the available power supply, system reconfiguration, and power flow. The restoration strategies are solved by mathematical programming, formulated as a mixed-integer second order cone programming problem. The proposed formulation ensures global optimality. The proposed method is tested using IEEE 33 and 69 bus systems. In addition, DG’s are added to represent active distribution systems. The simulation results show the capability of the proposed method to solve fast restoration with remarkable accuracy and computational time.

Original languageEnglish
Pages (from-to)408-413
Number of pages6
JournalInternational Review on Modelling and Simulations
Volume15
Issue number6
DOIs
Publication statusPublished - 2022

Keywords

  • Mathematic Programming
  • Mixed-Integer Second Order Cone Programming
  • Restoration
  • Smart Grids

Fingerprint

Dive into the research topics of 'Fast Restoration for Smart Grids Using Mixed-Integer Second Order Cone Programming'. Together they form a unique fingerprint.

Cite this