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.
| Original language | English |
|---|---|
| Title of host publication | 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 267-274 |
| Number of pages | 8 |
| ISBN (Print) | 9781479974924 |
| DOIs | |
| Publication status | Published - 2015 Sep 10 |
| Event | IEEE Congress on Evolutionary Computation, CEC 2015 - Sendai, Japan Duration: 2015 May 25 → 2015 May 28 |
Other
| Other | IEEE Congress on Evolutionary Computation, CEC 2015 |
|---|---|
| Country | Japan |
| City | Sendai |
| Period | 15/5/25 → 15/5/28 |
Keywords
- Cuckoo Search Algorithm
- optimal placement and sizing
- Static Var Compensator
- Teaching-learning-based optimization
ASJC Scopus subject areas
- Computer Science Applications
- Computational Mathematics
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Nguyen, K. P., Fujita, G., & Ngoc Dieu, V. (2015). Optimal placement and sizing of Static Var Compensator using Cuckoo search algorithm. In 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings (pp. 267-274). [7256901] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEC.2015.7256901