Title :
Implementation of genetic algorithm for distribution systems loss minimum re-configuration
Author :
Nara, Koichi ; Shiose, Atsushi ; Kitagawa, Minoru ; Ishihara, Toshihisa
Author_Institution :
Hiroshima Univ., Japan
fDate :
8/1/1992 12:00:00 AM
Abstract :
The loss minimum reconfiguration problem in the open loop radial distribution system is basically one of complex combinatorial optimization, since the normal open sectionalizing switches must be determined appropriately. The genetic algorithm was successfully applied to the loss minimum reconfiguration problem. In the proposed algorithm, strings consist of sectionalizing switch status or radial configurations, and the fitness function consists of the total system losses and penalty value of voltage drop and current capacity violations. The loss minimum reconfiguration problem is formulated as a mixed integer programming problem. The essential components of the genetic algorithm are briefly described. A detailed solution methodology by the use of genetic algorithm is outlined. Numerical examples demonstrate the validity and effectiveness of the proposed methodology
Keywords :
distribution networks; losses; combinatorial optimization; current capacity; fitness function; genetic algorithm; loss minimum reconfiguration problem; mixed integer programming problem; normal open sectionalizing switches; open loop radial distribution system; voltage drop; Computational modeling; Genetic algorithms; Linear programming; Mathematical programming; Minimization methods; Neural networks; Power engineering computing; Power systems; Simulated annealing; Switches;
Journal_Title :
Power Systems, IEEE Transactions on