DocumentCode
1833133
Title
Reconfiguration of distribution network for loss reduction at different load schemes
Author
Sehgal, Sandeep ; Swarnkar, Anil ; Gupta, Nikhil ; Niazi, K.R.
Author_Institution
Dept. of Electr. Eng., MNIT, Jaipur, India
fYear
2012
fDate
1-2 March 2012
Firstpage
1
Lastpage
4
Abstract
This paper presents a meta-heuristic based algorithm for determining the minimum loss reconfiguration for different load models in radial distribution system. Proposed method includes the genetic algorithm (GA) for optimizing the reconfiguration problem. After investigating the results obtained by the proposed method, it is clear that the type of load is a main deciding factor for reconfiguration problem and the methodology is capable to find out the optimal solution for any size of distribution systems and demands much less computational burden as compared to other existing algorithms. Simulation results are tested on widely used 33-node test distribution system and compared to the conventional constant load model.
Keywords
distribution networks; genetic algorithms; 33-node test distribution system; GA; distribution network reconfiguration; genetic algorithm; load schemes; loss reduction; meta-heuristic based algorithm; radial distribution system; Genetic algorithms; Load flow analysis; Load modeling; Minimization; Optimization; crossover; genetic algorithm; mutation; reconfiguration; voltage dependent load; voltage exponents;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical, Electronics and Computer Science (SCEECS), 2012 IEEE Students' Conference on
Conference_Location
Bhopal
Print_ISBN
978-1-4673-1516-6
Type
conf
DOI
10.1109/SCEECS.2012.6184772
Filename
6184772
Link To Document