An Efficient Codification to Solve Distribution Network Reconfiguration for Loss Reduction Problem

被引:184
作者
Carreno, Edgar Manuel [1 ]
Romero, Ruben [1 ]
Padilha-Feltrin, Antonio [1 ]
机构
[1] Univ Estadual Paulista, Dept Elect Engn, Ilha Solteira, SP, Brazil
关键词
Distribution network reconfiguration; genetic algorithms; loss reduction; metaheuristics; network representation;
D O I
10.1109/TPWRS.2008.2002178
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Evolutionary algorithms have been used to try to solve distribution network reconfiguration for loss reduction problem with a certain degree of success. But some problems, specially related to a codification that is able to represent and work with a complex multiconstraint and combinatorial problem such as this one, have prevented the use of the full potential of these algorithms to find quality solutions for large systems with minor computational effort. This paper proposes a solution to this problem, with a new codification and using an efficient way for implementing the operator of recombination to guaranty, at all times, the production of new radial topologies. The algorithm is presented and tested in a real distribution system, showing excellent results and computational efficiency.
引用
收藏
页码:1542 / 1551
页数:10
相关论文
共 29 条
[1]   Voltage regulation and power losses minimization in automated distribution networks by an evolutionary multiobjective approach [J].
Augugliaro, A ;
Dusonchet, L ;
Favuzza, S ;
Sanseverino, ER .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2004, 19 (03) :1516-1527
[2]  
Back, 1975, P 5 POW SYST COMP C, P1
[3]   NETWORK RECONFIGURATION IN DISTRIBUTION-SYSTEMS FOR LOSS REDUCTION AND LOAD BALANCING [J].
BARAN, ME ;
WU, FF .
IEEE TRANSACTIONS ON POWER DELIVERY, 1989, 4 (02) :1401-1407
[4]   Variable scaling hybrid differential evolution for solving network reconfiguration of distribution systems [J].
Chiou, JP ;
Chang, CF ;
Su, CT .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (02) :668-674
[5]   A genetic algorithm for the generalised assignment problem [J].
Chu, PC ;
Beasley, JE .
COMPUTERS & OPERATIONS RESEARCH, 1997, 24 (01) :17-23
[6]   DISTRIBUTION FEEDER RECONFIGURATION FOR LOSS REDUCTION [J].
CIVANLAR, S ;
GRAINGER, JJ ;
YIN, H ;
LEE, SSH .
IEEE TRANSACTIONS ON POWER DELIVERY, 1988, 3 (03) :1217-1223
[7]   An efficient constraint handling method for genetic algorithms [J].
Deb, K .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2000, 186 (2-4) :311-338
[8]   Main chain representation for evolutionary algorithms applied to distribution system reconfiguration [J].
Delbem, ACB ;
de Carvalho, ACPDF ;
Bretas, NG .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (01) :425-436
[9]  
Goldberg D.E, 1989, GENETIC ALGORITHMS S
[10]  
GOLDBERG M, 2000, OTIMIZACAO COMBINATO