DocumentCode
2626771
Title
Implementation of genetic algorithm for optimal network reconfiguration in distribution systems for load balancing
Author
Ravibabu, P. ; Venkatesh, K. ; Sudheer Kumar, C.
Author_Institution
EEE Dept, CVRCE, Hyderabad
fYear
2008
fDate
21-25 July 2008
Firstpage
124
Lastpage
128
Abstract
Network reconfiguration of an electrical distribution system is an operation to alter the topological structure of distribution system by changing status (open/closed) of sectionalizing and tie switches. By transferring loads from the heavily loaded feeders to the relatively lightly loaded feeders, the network reconfiguration can balance feeder loads and eliminate overload conditions. The system load-balancing index (LBI) is used to determine the loading conditions of the system and maximum system loading capacity. The index value has to be minimum in the optimal network reconfiguration of load balancing. This paper presents a new approach for optimal network reconfiguration of a distribution system using genetic algorithm to determine the optimal network reconfiguration. The switches are taken into consideration for crossover process. After obtaining number of solutions from the combinational analysis, the optimal solution is selected based on the fitness function, i.e., the solution having the minimum index value. The proposed approach is tested on IEEE 16 bus system.
Keywords
distribution networks; genetic algorithms; IEEE 16 bus system; crossover process; distribution systems; electrical distribution system; feeder load balancing; fitness function; genetic algorithm; optimal network reconfiguration; system load-balancing index; topological structure; Constraint optimization; Distance measurement; Encoding; Genetic algorithms; Genetic mutations; Load management; OFDM modulation; Region 8; Switches; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Technologies in Electrical and Electronics Engineering, 2008. SIBIRCON 2008. IEEE Region 8 International Conference on
Conference_Location
Novosibirsk
Print_ISBN
978-1-4244-2133-6
Electronic_ISBN
978-1-4244-2134-3
Type
conf
DOI
10.1109/SIBIRCON.2008.4602603
Filename
4602603
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