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Implementation of genetic algorithm for distribution systems loss minimum re-configuration

IEEE Transactions on Power Systems · 1992 · Vol. 7(3) · pp. 1044–1051
K. NaraA. ShioseM. KitagawaTadashi Ishihara

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. >

Optimal Power Flow DistributionMicrogrid Control and OptimizationPower System Optimization and StabilityControl reconfigurationGenetic algorithmMathematical optimizationAlgorithmInteger programmingFitness functionVoltage dropComputer scienceVoltageMathematics
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723
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References
Distribution feeder reconfiguration for loss reduction
IEEE Transactions on Power Delivery · 1988 · 1,356 citations
Reconfiguration of electric distribution networks for resistive line losses reduction
IEEE Transactions on Power Delivery · 1989 · 954 citations
Network reconfiguration in distribution systems for loss reduction and load balancing
IEEE Transactions on Power Delivery · 1989 · 4,781 citations
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