Ant Lion Optimization to Minimize Emissions of Power Transmission Lines
In this paper, best arrangement of overhead transmission line conductors is determined via the ant lion optimization (ALO), to minimize the emitted electric and magnetic fields. Compute delectric and magnetic fields are compared with measured datain order to confirm the validity and usefulness of the formulation. ALO algorithm is applied to optimize both single and double circuit transmission lines. The two cases of spacing between line conductors are considered, namely, taking into account the effects of ice and wind, and neglecting the effects of ice and wind. IEC-71 standards are followed for the spacings in both cases. A MATLAB computer code based on ALO algorithm is written for finding the positions of line conductors that will minimize field emissions. Significant reduction of the fields is observed owing to the new optimized positions of conductors. The optimized results of ALO are compared with previous results obtained by genetic algorithm and particle swarm optimization. To the authors' knowledge, this is the first paper that applies ALO to organize high-voltage line conductors. Finally, to demonstrate the financial applicability of the solution, comparison is held between the cost of rearranging transmission line conductors and the cost of non-reducing the fields, based on a survey for people living near high voltage line in the populated city of Irbid in Jordan. Although the operating frequency for the examples in this paper is 50 Hz, the algorithm can be used for other power frequencies such as 60 Hz. The solutions are 2D, where infinite line length is assumed. Also, the algorithm uses the recommended exposure limits of 0.4 µT for the magnetic field and 5 kV/m for the electric field.