Mechanical Engineering Commons^™

A New Framework For Power System Identification Based On An Improved Genetic Algorithm, Lin Gao

Lin Gao

Accuracy parameters of power system model are of great importance in stability and security evaluation or simulation. Some of the conventional methods may have inadequate adaptability or effectiveness for identification of different power systems. A general framework for power system identification is proposed based on an improved genetic algorithm with a logarithmic fitness function and an adaptive searching space. It can be used for most power system models (linear or nonlinear) and can readily be performed on different models just by rebuilt corresponding map lists between the parameters and the coefficients of the general model. The numerical experiment and practical …