Identification of Electrical Parameters in a Power Network Using Genetic Algorithms and Transient Measurements

The knowledge of the parameter values of a power network is very valuable for power system modelling, simulation, protection and control since it is a fundamental parameter for solving many problems such as minimizing the effect of voltage distortion, active filter control or relay setting. The electrical parameters in a power network are usually unknown or poorly quantified and can not be measured directly. A new effective and reliable method for power network parameters identification based on voltage transient measurements using genetic algorithm optimization is successfully demonstrated. Simulation tests performed using Matlab-Simulink show the effectiveness of the proposed identification strategy.