A mixed integer programming approach for optimal power grid intentional islanding

Neng Fan, David Izraelevitz, Feng Pan, Panos M. Pardalos, Jianhui Wang

Research output: Contribution to journalArticle

41 Scopus citations

Abstract

A power grid island is a self-sufficient subnetwork in a large-scale power system. In weakly connected islands, limited inter-island power flows are allowed. Intentional islanding of a power grid is helpful for the analysis of distributed generation systems connected to a power grid, and valuable for power system reliability of extreme emergency states. In this paper, we use graph partitioning methods to form islands in a power grid and formulate these problems as mixed integer programs. Our models are based the optimal power flow model to minimize the load shedding cost. With these mathematical programming models, optimal formation of islands can be obtained and the different approaches can be compared. Through experiment on IEEE-30-Bus system, computational results are analyzed and compared to provide insight for power grid intentional islanding.

Original languageEnglish (US)
Pages (from-to)77-93
Number of pages17
JournalEnergy Systems
Volume3
Issue number1
DOIs
StatePublished - Mar 1 2012
Externally publishedYes

Keywords

  • Graph partitioning
  • Intentional islanding
  • Mixed integer programming
  • Optimal power flow
  • Weakly connected islands

ASJC Scopus subject areas

  • Modeling and Simulation
  • Economics and Econometrics
  • Energy(all)

Fingerprint Dive into the research topics of 'A mixed integer programming approach for optimal power grid intentional islanding'. Together they form a unique fingerprint.

  • Cite this