31 Citations (Scopus)

Abstract

This paper introduces load shed recovery actions for transmission networks by presenting the dc optimal load shed recovery with transmission switching model (DCOLSR-TS). The model seeks to reduce the amount of load shed, which may result due to transmission line and/or generator contingencies, by modifying the bulk power system topology. Since solving DCOLSR-TS is computationally difficult, the current work also develops a heuristic (MIP-H), which improves the system topology while specifying the required sequence of switching operations. Experimental results on a list of N-1 and N-2 critical contingencies of the IEEE 118-bus test case demonstrate the advantages of utilizing MIP-H for both online load shed recovery and recurring contingency-response analysis. This is reinforced by the introduction of a parallelized version of the heuristic (Par-MIP-H), which solves the list of critical contingencies close to 5x faster than MIP-H with 8 cores and up to 14x faster with increased computational resources. The current work also tests MIP-H on a real-life, large-scale network in order to measure the computational performance of this tool on a real-world implementation.

Original languageEnglish (US)
Article number6648720
Pages (from-to)908-916
Number of pages9
JournalIEEE Transactions on Power Systems
Volume29
Issue number2
DOIs
StatePublished - Mar 2014

Fingerprint

Topology
Recovery
Electric power transmission networks
Electric lines

Keywords

  • Contingency analysis
  • heuristics
  • load shed recovery
  • parallel algorithms
  • transmission line switching

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology

Cite this

Topology control for load shed recovery. / Escobedo, Adolfo; Moreno-Centeno, Erick; Hedman, Kory.

In: IEEE Transactions on Power Systems, Vol. 29, No. 2, 6648720, 03.2014, p. 908-916.

Research output: Contribution to journalArticle

Escobedo, Adolfo ; Moreno-Centeno, Erick ; Hedman, Kory. / Topology control for load shed recovery. In: IEEE Transactions on Power Systems. 2014 ; Vol. 29, No. 2. pp. 908-916.
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