Self-Mitigation of Magnetic Fields Near Overhead Power Lines Using Evolutionary Algorithms

This paper represents a proposed mitigation method of the magnetic fields near an overhead transmission line to avoid the harmful effects on the population around these lines. Magnetic fields can cause diseases such as cancer in additional to change in human brain activity and heart rate. Consequently, different methods are used to mitigate the magnetic fields. In the present paper, the magnetic fields will be calculated at first to determine the regions that need to be protected against the magnetic fields more than the safe limits. Then self-reactive compensation will be introduced to mitigate the magnetic fields. The proposed method causes the current in the power transmission portion near to the residence to be unbalanced. It can be done through shunt reactive elements at the start and end of the specified portion resulting in a lower magnetic fields. Genetic Algorithm (GA) is used to estimate these reactive elements achieving the best condition of the minimum magnetic fields in residence. Results show that the magnetic fields is mitigated to acceptable levels. Moreover, several additional advantages are gained compared to other conventional methods such as cost and using external sources.