Adaptive partitioning approach to self-sustained smart grid

Youwei Jia, Chun Sing Lai, Zhao Xu, Songjian Chai, Kit Po Wong

Research output: Journal article publicationJournal articleAcademic researchpeer-review

11 Citations (Scopus)


Effective network partitioning becomes an essential step to realise self-sustained smart grid, which serves as a prerequisite for 'self-healing' enabled decentralised control. Splitting the power network (PN) into areas is the last resort to avoid the spread of disruption and to maintain as many network survivals as possible. This study aims to resolve the issue of multi-objective PN partitioning by deploying a newly proposed hybrid approach concerning both real power balance and voltage profile. The proposed approach combines the Laplacian spectrum and self-organising map, which adaptively attains self-sustained network partitions on different operating conditions. The resultant partitions are characterised by the minimal intra-area real power imbalance with a healthy voltage profile. The authors experimentally evaluate the partitioning effectiveness and computational efficiency in several case studies including on the New England 39-bus, IEEE 118-bus, and Polish 2383-bus transmission systems.
Original languageEnglish
Pages (from-to)485-494
Number of pages10
JournalIET Generation, Transmission and Distribution
Issue number2
Publication statusPublished - 26 Jan 2017

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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