Optimal placement and sizing of SVC by using various meta-heuristic optimization methods

Khai Phuc Nguyen, Goro Fujita, Nguyen Duc Tuyen, Vo Ngoc Dieu, Toshihisa Funabashi

研究成果: Conference contribution

3 引用 (Scopus)

抜粋

This paper presents comparison of three kinds of meta-heuristic optimization to determine location and sizing of Static Var Compensator (SVC). The optimization methods are Particle Swarm Organization (PSO), Improved Harmony Search (IHS) and Cuckoo Search Algorithm (CSA). The multi-objective function of this problem considers loss power, voltage deviation and operational cost of SVC. All of methods are tested on three types of IEEE power systems, such as 9-bus case, 30-bus case and 57-bus case. Results show that the CSA does not only gives better solution than others do, but it also has better performance, while the IHS is more effective than the version of PSO.

元の言語English
ホスト出版物のタイトルProceedings - ICPERE 2014: 2nd IEEE Conference on Power Engineering and Renewable Energy 2014
出版者Institute of Electrical and Electronics Engineers Inc.
ページ7-12
ページ数6
ISBN(印刷物)9781479964024
DOI
出版物ステータスPublished - 2014 3 24
イベント2nd IEEE Conference on Power Engineering and Renewable Energy, ICPERE 2014 - Bali, Indonesia
継続期間: 2014 12 92014 12 11

Other

Other2nd IEEE Conference on Power Engineering and Renewable Energy, ICPERE 2014
Indonesia
Bali
期間14/12/914/12/11

    フィンガープリント

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment

これを引用

Nguyen, K. P., Fujita, G., Tuyen, N. D., Dieu, V. N., & Funabashi, T. (2014). Optimal placement and sizing of SVC by using various meta-heuristic optimization methods. : Proceedings - ICPERE 2014: 2nd IEEE Conference on Power Engineering and Renewable Energy 2014 (pp. 7-12). [7067226] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPERE.2014.7067226