Modified discrete PSO to increase the delivered energy probability in distribution energy systems

Bruno Canizes, Joao Soares, Hugo Morais, Zita Vale

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

This paper proposes a PSO based approach to increase the probability of delivering power to any load point by identifying new investments in distribution energy systems. The statistical failure and repair data of distribution components is the main basis of the proposed methodology that uses a fuzzy-probabilistic modeling for the components outage parameters. The fuzzy membership functions of the outage parameters of each component are based on statistical records. A Modified Discrete PSO optimization model is developed in order to identify the adequate investments in distribution energy system components which allow increasing the probability of delivering power to any customer in the distribution system at the minimum possible cost for the system operator. To illustrate the application of the proposed methodology, the paper includes a case study that considers a 180 bus distribution network.
Original languageEnglish
Title of host publication2013 IEEE Computational Intelligence Applications in Smart Grid
PublisherIEEE
Publication date2013
Pages146-153
ISBN (Print)9781467360029
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 CIASG: 2013 IEEE Computational Intelligence Applications in Smart Grid - Grand Copthorne Waterfront Hotel, Singapore, Singapore
Duration: 15 Jan 201319 Apr 2013

Conference

Conference2013 CIASG
LocationGrand Copthorne Waterfront Hotel
Country/TerritorySingapore
CitySingapore
Period15/01/201319/04/2013

Keywords

  • fuzzy systems
  • investment
  • particle swarm optimisation
  • power distribution economics
  • Bioengineering
  • Power, Energy and Industry Applications

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