Optimal allocation and size of appropriate compensation devices for voltage stability enhancement of power systems

摘要

This paper presents an efficient optimization technique called teaching-learning-based optimization (TLBO) to calculate the optimal allocation, size and suitable type of shunt compensation devices for voltage stability enhancement, voltage profile improvement and power losses minimization of power systems. The loss sensitivity analysis, which contains two loss sensitivity indices (LSIs) is firstly used to determine the best buses for the presence of shunt compensation devices. This analysis reduces the simulation time by reducing the search in all buses. The lower power loss objective function is adopted to determine the validity of TLBO as it shows better voltage profile and greater voltage stability compared to other techniques such as; genetic algorithm (GA) and particle swarm optimization (PSO). The method is tested on two standard test systems; the IEEE 14-bus and IEEE 30-bus systems. The simulation results show the applicability of the proposed method to calculate the optimal location, size and type of shunt compensation to minimize power losses and improve voltage stability and voltage profile of power systems.