Distribution network;
Graph theory;
Genetic algorithms;
Mesh checks;
Meta-heuristic;
Reconfiguration;
GENETIC ALGORITHM;
LOSS REDUCTION;
OPTIMIZATION;
D O I:
10.1016/j.epsr.2011.03.020
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:
In this paper, a new codification is proposed for various meta-heuristic techniques to solve the reconfiguration problem of distribution networks. The full potential of meta-heuristic algorithms can be exploited by their efficient codification using some engineering knowledge base. The distribution system reconfiguration problems are non-differentiable, mixed integer and highly complex combinatorial in nature. In addition, the radiality constraint typically increases the intricacy of the meta-heuristic evolutionary algorithms. The proposed codification is based upon the fundamentals of graph theory which not only restricts the search space but also avoids tedious mesh checks. The proposed codification is computationally efficient and guarantees to generate only feasible radial topologies all times. The proposed method has been tested on three different test distribution systems and the results are promising. (C) 2011 Elsevier B.V. All rights reserved.
机构:
Univ Sao Paulo, Dept Elect Engn, Escola Politecn, BR-05508970 Sao Paulo, BrazilUniv Sao Paulo, Dept Elect Engn, Escola Politecn, BR-05508970 Sao Paulo, Brazil
Cebrian, Juan Carlos
Kagan, Nelson
论文数: 0引用数: 0
h-index: 0
机构:
Univ Sao Paulo, Dept Elect Engn, Escola Politecn, BR-05508970 Sao Paulo, BrazilUniv Sao Paulo, Dept Elect Engn, Escola Politecn, BR-05508970 Sao Paulo, Brazil
机构:
Univ Sao Paulo, Dept Elect Engn, Escola Politecn, BR-05508970 Sao Paulo, BrazilUniv Sao Paulo, Dept Elect Engn, Escola Politecn, BR-05508970 Sao Paulo, Brazil
Cebrian, Juan Carlos
Kagan, Nelson
论文数: 0引用数: 0
h-index: 0
机构:
Univ Sao Paulo, Dept Elect Engn, Escola Politecn, BR-05508970 Sao Paulo, BrazilUniv Sao Paulo, Dept Elect Engn, Escola Politecn, BR-05508970 Sao Paulo, Brazil