抄録
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.
| 元の言語 | English |
|---|---|
| ホスト出版物のタイトル | 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings |
| 出版者 | Institute of Electrical and Electronics Engineers Inc. |
| ページ | 267-274 |
| ページ数 | 8 |
| ISBN（印刷物） | 9781479974924 |
| DOI | |
| 出版物ステータス | Published - 2015 9 10 |
| イベント | IEEE Congress on Evolutionary Computation, CEC 2015 - Sendai, Japan 継続期間: 2015 5 25 → 2015 5 28 |
Other
| Other | IEEE Congress on Evolutionary Computation, CEC 2015 |
|---|---|
| 国 | Japan |
| 市 | Sendai |
| 期間 | 15/5/25 → 15/5/28 |
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ASJC Scopus subject areas
- Computer Science Applications
- Computational Mathematics
これを引用
Optimal placement and sizing of Static Var Compensator using Cuckoo search algorithm. / Nguyen, Khai Phuc; Fujita, Goro; Ngoc Dieu, Vo.
2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 267-274 7256901.研究成果: Conference contribution
}
TY - GEN
T1 - Optimal placement and sizing of Static Var Compensator using Cuckoo search algorithm
AU - Nguyen, Khai Phuc
AU - Fujita, Goro
AU - Ngoc Dieu, Vo
PY - 2015/9/10
Y1 - 2015/9/10
N2 - 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.
AB - 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.
KW - Cuckoo Search Algorithm
KW - optimal placement and sizing
KW - Static Var Compensator
KW - Teaching-learning-based optimization
UR - http://www.scopus.com/inward/record.url?scp=84963563036&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84963563036&partnerID=8YFLogxK
U2 - 10.1109/CEC.2015.7256901
DO - 10.1109/CEC.2015.7256901
M3 - Conference contribution
AN - SCOPUS:84963563036
SN - 9781479974924
SP - 267
EP - 274
BT - 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -