Title :
Genetic algorithm based network reconfiguration for loss minimization in distribution systems
Author :
Hong, Kng-Yi ; Ho, Saw-Yu
Author_Institution :
Dept. of EE, Chung Yuan Univ., Chung-li, Taiwan
Abstract :
Determination of the feeder configuration involving the switch statuses is essential for the operation in the distribution system. MW loss minimization is crucial if the system is normal. This paper presents a method based on genetic algorithms (GAs) using a vertex encoding/decoding to determine the network configuration. The vertex based Prufer number is used in GAs for encoding/decoding the chromosomes (strings). The Prufer number ensures that the system structure will be radial for the distribution system. The simulation results from a 33-bus system are used to show the applicability of the proposed method.
Keywords :
encoding; genetic algorithms; minimisation; power distribution planning; Prufer number; chromosome decoding; chromosomes encoding; feeder configuration; genetic algorithm; loss minimization; network reconfiguration; power distribution systems; radial distribution system; switch statuses; vertex decoding; vertex encoding; Biological cells; Constraint optimization; Encoding; Genetic algorithms; Indexing; Intelligent networks; Minimization methods; OFDM modulation; Power system interconnection; Switches;
Conference_Titel :
Power Engineering Society General Meeting, 2003, IEEE
Print_ISBN :
0-7803-7989-6
DOI :
10.1109/PES.2003.1267225