Title :
Numerical simulation of electric field with open boundary using intelligent optimum charge simulation method
Author :
Liu, Xiaoming ; Cao, Yundong ; Wang, ErZhi
Author_Institution :
Sch. of Electr. Eng., Shenyang Univ. of Technol., Liaoning
fDate :
4/1/2006 12:00:00 AM
Abstract :
For improving the calculation precision of the electric field, a novel combination of genetic algorithms (GA) and charge simulation method (CSM) is proposed. In which, the allocations and quantities of the optimized charges can be obtained using GA, and higher calculation precision can be achieved. The combined CSM and the hybrid conventional and optimized CSM were applied for computing the electric field of the demonstration examples. The comparison of the relative error between the conventional and optimized CSM has been obtained. The feasibility, practicability and validity of the proposed optimized CSM have been verified
Keywords :
electric fields; genetic algorithms; electric field computation; electric field simulation; genetic algorithms; intelligent optimum charge simulation; open boundary; Boundary conditions; Computational modeling; Conductors; Dielectrics and electrical insulation; Electrodes; Finite difference methods; Flowcharts; Numerical simulation; Power system reliability; Voltage; CSM; GA; electric field; optimization;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2006.872479
