DocumentCode :
3508810
Title :
Distribution systems copper and iron loss minimization by genetic algorithm
Author :
Nara, Koichi ; Kitagawa, Minoru
Author_Institution :
Ibaraki Univ., Japan
fYear :
1993
fDate :
1993
Firstpage :
151
Lastpage :
156
Abstract :
This paper proposes a new GA method to minimize distribution system losses including power transformer iron loss. Since the transformer iron loss is approximately proportional to the square of a transformer´s primary voltage, one can minimize the sum of transformer iron loss and line resistive loss by adjusting line voltages and line currents appropriately. Since the problem is formulated as a complex combinatorial optimization problem, it is solved by applying a genetic algorithm (GA) in this paper. Several numerical examples are shown to demonstrate the proposed method.
Keywords :
combinatorial mathematics; digital simulation; distribution networks; genetic algorithms; losses; minimisation; power system analysis computing; power transformers; combinatorial optimization problem; copper losses; digital simulation; distribution system; genetic algorithm; iron loss; line resistive loss; minimization; power system analysis computing; power transformer; Copper; Genetic algorithms; Iron; Large-scale systems; Minimization methods; Power transmission; Propagation losses; Quadratic programming; Simulated annealing; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks to Power Systems, 1993. ANNPS '93., Proceedings of the Second International Forum on Applications of
Conference_Location :
Yokohama, Japan
Print_ISBN :
0-7803-1217-1
Type :
conf
DOI :
10.1109/ANN.1993.264298
Filename :
264298
Link To Document :
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