Title :
Optimal Connection of Power Transmission Lines With Underground Power Cables to Minimize Magnetic Flux Density Using Genetic Algorithms
Author :
Lai, Gordon G. ; Yang, Chien-feng ; Huang, Hunter M. ; Su, Ching-Tzong
Author_Institution :
Dept. of Electr. Eng., Chung Cheng Univ., Chiayi
fDate :
7/1/2008 12:00:00 AM
Abstract :
The purpose of this paper is to search for the optimal connection of power transmission lines with underground power cables for a newly constructed substation to reduce the magnetic flux density around it. The genetic algorithm method is employed for solving the problem of optimization mentioned above to get a best connection. With the optimal connection, the magnetic flux density can be reduced effectively without spending or utilizing extra time, manpower, and equipment.
Keywords :
genetic algorithms; power cables; power transmission lines; substations; underground cables; genetic algorithms; magnetic flux density; optimal connection; optimization; power transmission lines; substation; underground power cables; Connection; genetic algorithm; magnetic flux density; phase arrangement; substation; underground cable;
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2008.919236