Title :
Determination of current distribution in energized conductors for the computation of electromagnetic fields
Author :
Selby, Alan ; Dawalibi, Farid
Author_Institution :
Safe Eng. Services & Technol. Ltd., Montreal, Que., Canada
fDate :
4/1/1994 12:00:00 AM
Abstract :
Current distributions in networks of overhead and buried conductors, energized by current injections at arbitrary locations, are computed by two approaches. The first approach solves electric field point matching equations in a weighted least square formulation with linear constraints on the currents. The second approach, specialized to the low frequency range and lossy media, employs a power minimization algorithm. Both approaches lead to geometrically invariant, linearly constrained, quadratic minimization problems. At low frequencies, induced loop currents are determined by explicitly imposing Faraday´s law as a linear constraint. Computation results compare well with measurements and with results of other algorithms. At high frequencies, the computation results match those published in the antenna literature. At low frequencies, they are essentially identical to published measurements and to computations based on grounding and quasi-static techniques
Keywords :
current distribution; electromagnetic field theory; least squares approximations; overhead line conductors; power transmission lines; transmission network calculations; underground cables; underground transmission systems; Faraday´s law; buried conductors; current distribution; electric field point matching equations; electromagnetic fields computation; energized conductors; grounding techniques; high frequencies; induced loop currents; linear constraints; lossy media; overhead conductors; power minimization algorithm; quadratic minimization problems; quasi-static techniques; weighted least square formulation; Antenna measurements; Computer networks; Conductors; Current distribution; Distributed computing; Equations; Frequency locked loops; Frequency measurement; Least squares methods; Minimization methods;
Journal_Title :
Power Delivery, IEEE Transactions on