Title :
Optimal configuration of power systems using GA based on reliability and loss of load
Author :
Senjyu, Tomonobu ; Yamashiro, Hirohito ; Uezato, Katsumi
Author_Institution :
Ryukyus Univ., Okinawa, Japan
Abstract :
This paper gives a genetic algorithm solution to optimal configuration of power systems. The genetic algorithm is a heuristic technique based on principles inspired from the genetic and evolution mechanisms observed in natural systems and populations of living beings. Reliability is an important factor in modern power systems. The maintenance of power supply reliability and reducing loss of load in a fault are done favorably in comparison with an optimal configuration of the power system based on power system reliability only. By not only using power system reliability but also loss of load in a fitness function, high performance optimal configuration of power systems can be obtained. The demonstration of optimal configuration of power systems is shown with simulation results
Keywords :
genetic algorithms; load (electric); power system faults; power system reliability; evolution mechanisms; fault; fitness function; genetic algorithm; heuristic technique; loss of load reduction; natural systems; power supply reliability; power supply reliability maintenance; power systems optimal configuration; reliability; Genetic algorithms; Maintenance; Optimization methods; Power generation; Power system faults; Power system modeling; Power system planning; Power system reliability; Power system simulation; Power transmission lines;
Conference_Titel :
Power System Technology, 2000. Proceedings. PowerCon 2000. International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-6338-8
DOI :
10.1109/ICPST.2000.900084
