Intelligent distributed smart grid network - Reconfiguration

C. H. Ng, T. Logenthiran, W. L. Woo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Smart grid, modernization of electrical power system that is recognized globally as a vision to achieve a self-automated electrical network that is flexible, accessible, reliable and economical. With the integration of distributed and renewable generation into the transmission network, power system restoration faces new challenges. As the demand for power increases, the ability to perform restoration after any blackouts is vital. Smart grid aims to perform automated action in restoring power back to the transmission network. This feature of the system is also known as self-healing. Self-healing aims to perform self-adjustments during the normal operation state and performs self-restoration to the power system by identifying and reacting to interruption with minimal human intervention. The objective of self-healing is to supply electricity to users with no disturbances, making the system highly dependable and efficient. This paper presents an approach to perform power restoration on a mesh transmission network. In this approach, a knowledge based-environment was first created from performing case studies on a mesh network, a set of rules were developed after the environment and a search technique are than used in responding to the contingency observed and obtaining a restoration solution.

Original languageEnglish
Title of host publicationProceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015
PublisherIEEE
ISBN (Electronic)9781509012381
DOIs
Publication statusPublished - 21 Jan 2016
Externally publishedYes
EventIEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015 - Bangkok, Thailand
Duration: 3 Nov 20156 Nov 2015

Conference

ConferenceIEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015
Country/TerritoryThailand
CityBangkok
Period3/11/156/11/15

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