Title :
Capacitor Sizing and Placement on Radial Distribution System Using Queen Bee Assisted Genetic Algorithm
Author :
Shuaib, Y. Mohamed ; Rajan, C. Christober Asir
Author_Institution :
Dept. of EEE, Pondicherry Eng. Coll., Puducherry, India
Abstract :
Out of the three operational areas (generation, transmission and distribution) of electrical utility, the distribution system needs more attention and is difficult to standardize due to its complexity. The transmission and distribution loss in India has been in the range of 25-30 percent, in which major share is contributed at the distribution level. This is due to inadequate investments for the system improvement works. This paper presents an efficient optimization method for the optimal capacitor sizing of the radial distribution network in order to reduce the power losses and to improve the voltage profile. The capacitor location is determined by the known sensitivity analysis method. The proposed method is tested on 33-bus and 69-bus system and encouraging results are obtained.
Keywords :
distribution networks; electricity supply industry; genetic algorithms; power capacitors; transmission networks; 33-bus system; 69-bus system; India; capacitor placement; capacitor sizing; electrical utility; power losses; queen bee assisted genetic algorithm; radial distribution network; sensitivity analysis method; Capacitors; Genetic algorithms; Load flow; Next generation networking; Optimization; Sensitivity analysis;
Conference_Titel :
Process Automation, Control and Computing (PACC), 2011 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-61284-765-8
DOI :
10.1109/PACC.2011.5978928