DocumentCode
3256640
Title
A novel population-based optimization algorithm for optimal distribution capacitor planning
Author
Mandal, K.K. ; Bhattacharya, B. ; Tudu, B. ; Chakraborty, N.
Author_Institution
Dept. of Power Eng., Jadavpur Univ., Kolkata, India
fYear
2011
fDate
28-30 Dec. 2011
Firstpage
1
Lastpage
6
Abstract
Optimal distribution capacitor planning is an important task for economic operation of power systems. The optimal distribution capacitor planning is a combinatorial optimization problem which considers both power losses and cost of capacitor installation subject to bus voltage constraints. Discrete nature of capacitors, different load are considered in the problem formulation. This paper presents a novel reliable and efficient algorithm based on biogeography-based optimization technique for the solution of capacitor placement problem. Biogeography-based optimization technique is inspired by geographical distribution of biological organisms. The performance of the proposed method is demonstrated on a sample test system. The results obtained by the proposed methods are compared with other methods. The results show that the proposed technique is capable of producing comparable results.
Keywords
power capacitors; power distribution economics; power distribution planning; biogeography-based optimization technique; biological organisms geographical distribution; bus voltage constraints; capacitor installation cost; capacitor placement problem; combinatorial optimization problem; optimal distribution capacitor planning; population-based optimization algorithm; power losses; power systems economic operation; Capacitors; Genetic algorithms; Indexes; Mathematical model; Optimization; Planning; Probabilistic logic; Biogeography-based optimization (BBO); Capacitor placement; Distribution systems; Loss reduction; Voltage profile;
fLanguage
English
Publisher
ieee
Conference_Titel
Energy, Automation, and Signal (ICEAS), 2011 International Conference on
Conference_Location
Bhubaneswar, Odisha
Print_ISBN
978-1-4673-0137-4
Type
conf
DOI
10.1109/ICEAS.2011.6147075
Filename
6147075
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