DocumentCode
3091723
Title
Constrained Reactive Power Control Using Evolutionary Computation Technique for Static Security Enhancement
Author
Abdullah, NorRul Hasma ; Musirin, Ismail ; Murthada, Muhammad
Author_Institution
Fac. of Electr. & Electron. Eng., Univ. Malaysia Pahang, Kuantan, Malaysia
Volume
2
fYear
2009
fDate
28-30 Dec. 2009
Firstpage
612
Lastpage
616
Abstract
This paper presents evolutionary computing technique for solving constrained reactive power control (CRPC) problem in the attempt to enhance voltage stability under contingencies, while minimizing transmission loss and maintaining voltage level at an acceptable level. In this study, evolutionary programming (EP) was chosen as the evolutionary computing (EC) technique for solving the CRPC; taking into consideration two separate objective functions. Static voltage stability enhancement and minimization of real power loss are implemented separately on a reliability test system. Comparative studies performed with respect to artificial immune system (AIS) have highlighted that EP outperformed AIS for both objective functions.
Keywords
artificial immune systems; evolutionary computation; power system security; power system stability; reactive power control; artificial immune system; constrained reactive power control; evolutionary computation technique; evolutionary programming; real power loss minimization; static security enhancement; transmission loss minimizing; voltage level maintaining; voltage stability enhancement; Evolutionary computation; Functional programming; Genetic programming; Maintenance; Power system reliability; Propagation losses; Reactive power control; Security; Stability; Voltage; Artificial Immune System; Constrained Reactive Power Control; Evolutionary Computing; Evolutionary Programming; Generator Outage; Line Outage; Static Voltage Stability Index;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Electrical Engineering, 2009. ICCEE '09. Second International Conference on
Conference_Location
Dubai
Print_ISBN
978-1-4244-5365-8
Electronic_ISBN
978-0-7695-3925-6
Type
conf
DOI
10.1109/ICCEE.2009.116
Filename
5380247
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