A multiobjective evolutionary algorithm for distribution system reconfiguration

This paper presents an effective method-variable scaling hybrid differential evolution (VSHDE)-for solving the network reconfiguration for power loss reduction and voltage profile improvement of distribution systems. The network reconfiguration of distribution systems is to beneficially recognize lo...

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Main Authors: Nournejad, F, Kazemzade, R, Yazdankhah, A S
Format: Conference Proceeding
Language:English
Subjects:
1/5 success rule
Capacitors
Distribution system
Encoding
network reconfiguration
power loss reduction
variable scaling hybrid differential evolution (VSHDE)
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creator Nournejad, F
Kazemzade, R
Yazdankhah, A S
description This paper presents an effective method-variable scaling hybrid differential evolution (VSHDE)-for solving the network reconfiguration for power loss reduction and voltage profile improvement of distribution systems. The network reconfiguration of distribution systems is to beneficially recognize load transfers so that the objective function composed of power losses is minimized and the prescribed voltage limits are satisfied. The variable scaling factor based on the 1/5 success rule is used in the VSHDE method to overcome the drawback of the fixed and random scaling factor and alleviate the problem of the selection of a mutation operator in the hybrid differential evolution (HDE). VSHDE algorithm has been applied for the test systems and the performance of the proposed method with genetic algorithms (GAs), and simulated annealing (SA). Numerical results show that the performance of the proposed method is better than the other methods.
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The network reconfiguration of distribution systems is to beneficially recognize load transfers so that the objective function composed of power losses is minimized and the prescribed voltage limits are satisfied. The variable scaling factor based on the 1/5 success rule is used in the VSHDE method to overcome the drawback of the fixed and random scaling factor and alleviate the problem of the selection of a mutation operator in the hybrid differential evolution (HDE). VSHDE algorithm has been applied for the test systems and the performance of the proposed method with genetic algorithms (GAs), and simulated annealing (SA). 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The network reconfiguration of distribution systems is to beneficially recognize load transfers so that the objective function composed of power losses is minimized and the prescribed voltage limits are satisfied. The variable scaling factor based on the 1/5 success rule is used in the VSHDE method to overcome the drawback of the fixed and random scaling factor and alleviate the problem of the selection of a mutation operator in the hybrid differential evolution (HDE). VSHDE algorithm has been applied for the test systems and the performance of the proposed method with genetic algorithms (GAs), and simulated annealing (SA). Numerical results show that the performance of the proposed method is better than the other methods.</abstract><pub>IEEE</pub></addata></record>
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects 1/5 success rule
Capacitors
Distribution system
Encoding
network reconfiguration
power loss reduction
variable scaling hybrid differential evolution (VSHDE)
title A multiobjective evolutionary algorithm for distribution system reconfiguration
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