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Multi-objective evolutionary algorithm for security enhancement
Joint Authors
Source
Issue
Vol. 5, Issue 4 (31 Dec. 2009), pp.1-16, 16 p.
Publisher
Publication Date
2009-12-31
Country of Publication
Algeria
No. of Pages
16
Main Subjects
Topics
Abstract EN
Enhancement problem.
Generation rescheduling and adjustment of TCSC are used to alleviate the line overload.
The probable locations of TCSC are pre-selected based on Line overload Sensitivity (LOS) index which ranks the system branches according to their severity.
The security enhancement problem is formulated as a multi-objective optimization problem with minimization of investment cost of Thyristor Controlled Series Capacitor (TCSC) and minimization of control variable adjustment cost as objectives.
Non-dominated sorting algorithm is applied to solve this multi-objective optimization problem.
The proposed approach has been evaluated on the IEEE 30-bus test system.
Simulation results show the effectiveness of the proposed approach for solving the multi-objective optimal power flow problem.
American Psychological Association (APA)
Banu, R. Narmatha& Devaraj, D.. 2009. Multi-objective evolutionary algorithm for security enhancement. Journal of Electrical Systems،Vol. 5, no. 4, pp.1-16.
https://search.emarefa.net/detail/BIM-169762
Modern Language Association (MLA)
Banu, R. Narmatha& Devaraj, D.. Multi-objective evolutionary algorithm for security enhancement. Journal of Electrical Systems Vol. 5, no. 4 (Dec. 2009), pp.1-16.
https://search.emarefa.net/detail/BIM-169762
American Medical Association (AMA)
Banu, R. Narmatha& Devaraj, D.. Multi-objective evolutionary algorithm for security enhancement. Journal of Electrical Systems. 2009. Vol. 5, no. 4, pp.1-16.
https://search.emarefa.net/detail/BIM-169762
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 15-16
Record ID
BIM-169762