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

Ahmad Asrul Ibrahim, Azah Mohamed, H. Shareef, S. P. Ghoshal

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

18 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 publicationConference on Data Mining and Optimization
Pages141-145
Number of pages5
DOIs
Publication statusPublished - 2011
Event2011 3rd Conference on Data Mining and Optimization, DMO 2011 - Putrajaya
Duration: 28 Jun 201129 Jun 2011

Other

Other2011 3rd Conference on Data Mining and Optimization, DMO 2011
CityPutrajaya
Period28/6/1129/6/11

Fingerprint

Immune system
Power quality
Particle swarm optimization (PSO)
System buses
Electric potential
Semiconductor devices
Microprocessor chips
Industry

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

Cite this

Optimal power quality monitor placement in power systems based on particle swarm optimization and artificial immune system. / Ibrahim, Ahmad Asrul; Mohamed, Azah; Shareef, H.; Ghoshal, S. P.

Conference on Data Mining and Optimization. 2011. p. 141-145 5976518.

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

Ibrahim, AA, Mohamed, A, Shareef, H & Ghoshal, SP 2011, Optimal power quality monitor placement in power systems based on particle swarm optimization and artificial immune system. in Conference on Data Mining and Optimization., 5976518, pp. 141-145, 2011 3rd Conference on Data Mining and Optimization, DMO 2011, Putrajaya, 28/6/11. https://doi.org/10.1109/DMO.2011.5976518
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