A Direct Solution to Biobjective Partitioning Problem in Electric Power Networks

Youwei Jia, Zhao Xu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

12 Citations (Scopus)

Abstract

This letter presents a novel Laplacian spectrum-based approach to directly solve biobjective network partitioning problems. The proposed approach is applied to a typical power system partitioning problem in context of smart grids, where the resultant Pareto front considering two incompatible objectives can adaptively provide useful clustering information for a flexible and distributed system control. This approach has proven to be effective and computationally efficient through a case study of the IEEE 118-bus system.
Original languageEnglish
Pages (from-to)2481-2483
Number of pages3
JournalIEEE Transactions on Power Systems
Volume32
Issue number3
DOIs
Publication statusPublished - 1 May 2017

Keywords

  • Bi-objective
  • network partition
  • pareto optimality
  • smart grid
  • spectral analysis

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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