Teaching and Learning based Optimization applied to Optimization of Power Transmission Line parameters

摘要

Power Transmission Line health is the key factor for efficient working of the Power System. Monitoring of transmission lines are big issue for Power Industry operators, especially when lines passes through rough terrain or uninhabited lands. The paper proposes a technique to provide assistance in transmission line monitoring. Electric and magnetic field at line cross section is used to determine line parameters. Training and Learning based Optimization (TLBO) metaheuristics is used to obtain the current, voltage, equivalent diameter, distance between phases and cable to ground height through the cross section of the line. A comparative study is performed and the work summarizes the superiority and simplicity of Teaching and Learning based Optimization over existing techniques. The error and runtime using the proposed algorithm is very less in comparison to PSO and GA. Furthermore, high level of accuracy is attained taking less population of swarm. This makes the proposed technique a powerful and feasible tool for Power System operator in Transmission Line Monitoring.