DocumentCode :
2217378
Title :
Optimal placement and sizing of Static Var Compensator using Cuckoo search algorithm
Author :
Nguyen, Khai Phuc ; Fujita, Goro ; Dieu, Vo Ngoc
Author_Institution :
Shibaura Institute of Technology, Tokyo, Japan
fYear :
2015
fDate :
25-28 May 2015
Firstpage :
267
Lastpage :
274
Abstract :
This paper presents an application of Cuckoo search algorithm to determine location and sizing of Static Var Compensator (SVC). The objective of this problem is to reconfigure the electric power system by installing SVC devices. The objective function considers loss power, voltage deviation and operational cost of SVC and other operating constraints in power system. Cuckoo search algorithm is evaluated on two case studies and compared with the Teaching-learning-based optimization method. The results show that Cuckoo search algorithm is better than the Teaching-learning-based optimization and its performance is also better.
Keywords :
Investment; Mathematical model; Optimization; Reactive power; Sociology; Static VAr compensators; Cuckoo Search Algorithm; Static Var Compensator; Teaching-learning-based optimization; optimal placement and sizing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2015 IEEE Congress on
Conference_Location :
Sendai, Japan
Type :
conf
DOI :
10.1109/CEC.2015.7256901
Filename :
7256901
Link To Document :
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