Loads combination method based core schema genetic shortest-path algorithm for distribution network reconfiguration

A novel distribution network reconfiguration algorithm, named core schema genetic shortest-path algorithm (CSGSA) is proposed in this paper. It is based on the loads combination method. CSGSA consists of two steps: (1) searching for the optimal power supply paths for a sequence of loads one by one u...

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Veröffentlicht in:International Conference on Power System Technology Proceedings, 2002 Jg. 3; S. 1729 - 1733 vol.3
Hauptverfasser: Yixin Yu, Jianzhong Wu
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 2002
Schlagworte:
Biological cells
Costs
Genetic algorithms
Large-scale systems
Mathematical programming
Minimization methods
Optimization methods
Power supplies
Power system restoration
Switches
ISBN:9780780374591, 0780374592
Online-Zugang:Volltext
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Zusammenfassung:A novel distribution network reconfiguration algorithm, named core schema genetic shortest-path algorithm (CSGSA) is proposed in this paper. It is based on the loads combination method. CSGSA consists of two steps: (1) searching for the optimal power supply paths for a sequence of loads one by one using shortest-path algorithm, and forming a core schema chromosome using core schema algorithm (CSA); and (2) searching possible core schema chromosomes for the optimal one using global optimization method-genetic algorithm. CSGSA is used for solving the loss minimum reconfiguration problem, and its global searching capability is greatly improved by using a proposed branch weight formulation, which considers the effect of residual branch capacities; CSGSA is also employed to solve the supply restoration problem and promising results have been obtained. The proposed method can be used as an efficient tool for distribution network loss minimization and supply restoration.
ISBN:9780780374591
0780374592
DOI:10.1109/ICPST.2002.1067828