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Solving multi objective ORPD problem using AIS based clonal selection algorithm with UPFC
Joint Authors
Lingaiah, A. Bala Naga
Rao, B. Srinivasa
Source
Issue
Vol. 13, Issue 1 (31 Mar. 2017), pp.27-42, 16 p.
Publisher
Publication Date
2017-03-31
Country of Publication
Algeria
No. of Pages
16
Main Subjects
Abstract EN
In this paper, a solution for the multi objective optimal reactive power dispatch problem by using an artificial immune system (AIS) based clonal selection algorithm was presented.
The proposed AIS based clonal selection algorithm uses cloning of antibodies and followed by hyper maturation to minimize the voltage stability index (L-index), voltage deviations at all load buses and the transmission real power losses by incorporating the multi type FACTS device namely the UPFC.
The proposed algorithm also uses concepts of non dominated sorting and crowding distance comparison procedures to solve the multi objective optimization problem.
Finally, a fuzzy decision maker strategy is applied to find the best compromise solution.
The algorithm was implemented and tested on two standard IEEE 30-bus and 57-bus test systems with UPFC.
The proposed results are compared with and without placing the UPFC by considering two objectives for optimization.
American Psychological Association (APA)
Rao, B. Srinivasa& Lingaiah, A. Bala Naga. 2017. Solving multi objective ORPD problem using AIS based clonal selection algorithm with UPFC. Journal of Electrical Systems،Vol. 13, no. 1, pp.27-42.
https://search.emarefa.net/detail/BIM-723418
Modern Language Association (MLA)
Rao, B. Srinivasa& Lingaiah, A. Bala Naga. Solving multi objective ORPD problem using AIS based clonal selection algorithm with UPFC. Journal of Electrical Systems Vol. 13, no. 1 (2017), pp.27-42.
https://search.emarefa.net/detail/BIM-723418
American Medical Association (AMA)
Rao, B. Srinivasa& Lingaiah, A. Bala Naga. Solving multi objective ORPD problem using AIS based clonal selection algorithm with UPFC. Journal of Electrical Systems. 2017. Vol. 13, no. 1, pp.27-42.
https://search.emarefa.net/detail/BIM-723418
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 41-42
Record ID
BIM-723418