Reactive Power Dispatch Optimization with Voltage Profile Improvement Using an Efficient Hybrid Algorithm †
Zahir Sahli,
Abdellatif Hamouda,
Abdelghani Bekrar and
Damien Trentesaux
Additional contact information
Zahir Sahli: QUERE Laboratory, Electrical Engineering Department, University Ferhat Abbas Setif 1, Setif 19000, Algeria
Abdellatif Hamouda: QUERE Laboratory, Optics and fine mechanics Institute, University Ferhat Abbas Setif 1, Setif 19000, Algeria
Abdelghani Bekrar: LAMIH-UMR CNRS, University of Valenciennes, 59313 Valenciennes, France
Damien Trentesaux: LAMIH-UMR CNRS, University of Valenciennes, 59313 Valenciennes, France
Energies, 2018, vol. 11, issue 8, 1-21
Abstract:
This paper presents an efficient approach for solving the optimal reactive power dispatch problem. It is a non-linear constrained optimization problem where two distinct objective functions are considered. The proposed approach is based on the hybridization of the particle swarm optimization method and the tabu-search technique. This hybrid approach is used to find control variable settings (i.e., generation bus voltages, transformer taps and shunt capacitor sizes) which minimize transmission active power losses and load bus voltage deviations. To validate the proposed hybrid method, the IEEE 30-bus system is considered for 12 and 19 control variables. The obtained results are compared with those obtained by particle swarm optimization and a tabu-search without hybridization and with other evolutionary algorithms reported in the literature.
Keywords: optimal reactive power dispatch; loss minimization; voltage deviation; hybrid method; tabu search; particle swarm optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)
Downloads: (external link)
https://www.mdpi.com/1996-1073/11/8/2134/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/8/2134/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:8:p:2134-:d:164019
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().