Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Akbari-Zadeh, Mohammad-Reza | Kokabi, Reza | Gerami, Shahin
Affiliations: Bahonar Technical College, Affiliated to Technical and Vocational University, Shiraz, Iran
Note: [] Corresponding author. Mohammad-Reza Akbari-Zadeh, Bahonar Technical College, Affiliated to Technical and Vocational University, Shiraz, Iran. E-mail: [email protected]
Abstract: In this paper, a new stochastic structure is described to model the uncertainty effect of the active and reactive loads in the DSTATCOM allocation and sizing problem. The proposed technique has 2m+1 point estimate method (PEM) to trap the uncertainty associated with the expected error of the loads. The objectives are minimization of the total active power losses which diminish the voltage deviation of the buses. Other than that, a new optimization algorithm based on the bat algorithm (BA) is presented to search the problem space globally. Also, the idea of interactive fuzzy satisfying method is applied in the multi-objective formulation to provide a proper balance between the optimization of the objective functions. In the end, the proposed method is tested on the 69-bus IEEE distribution system to validate its feasibility and effective performance.
Keywords: DSTATCOM allocation, uncertainty, multi-objective optimization, 2m+1 point estimate method
DOI: 10.3233/IFS-131027
Journal: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 691-700, 2014
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]