Optimal power quality monitor placement in power systems based on particle swarm optimization and artificial immune system

A. A. Ibrahim, A. Mohamed, H. Shareef, S. P. Ghoshal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Citations (Scopus)

Abstract

In the modern industry, most of the equipment use semiconductor devices and microprocessors which are sensitive against power disturbances. Among power disturbances, voltage sags are considered as the most frequent type of disturbances in the field and their impact on sensitive loads is severe. However, to assess voltage sags, installation of power quality monitors (PQM) at all system buses is not economical. Thus, this study is carried out to develop a power quality monitor positioning algorithm to find the optimal number and placement of PQMs in both transmission and distribution systems. In this approach, first, the concept of topological monitor reach area is introduced. Then the binary particle swarm optimization hybridized with artificial immune system is used to solve multi-objective function in finding the optimal placement of PQMs. The proposed algorithm has been implemented and tested on the IEEE 30-bus and the 69-bus test systems to show the effectiveness of the proposed method for both transmission and distribution systems.

Original languageEnglish
Title of host publication2011 3rd Conference on Data Mining and Optimization, DMO 2011
Pages141-145
Number of pages5
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 3rd Conference on Data Mining and Optimization, DMO 2011 - Putrajaya, Malaysia
Duration: Jun 28 2011Jun 29 2011

Publication series

NameConference on Data Mining and Optimization
ISSN (Print)2155-6938
ISSN (Electronic)2155-6946

Conference

Conference2011 3rd Conference on Data Mining and Optimization, DMO 2011
Country/TerritoryMalaysia
CityPutrajaya
Period6/28/116/29/11

Keywords

  • artificial immune system
  • binary particle swarm optimization
  • multi-objective function
  • power quality monitor
  • voltage sag

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Software

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