An Incorporated Use of Genetic Algorithm and a Modelica Library for Simultaneous Tuning of Power System Stabilizers
Komsan Hongesombut, Yasunori Mitani, Kiichiro Tsuji · 2002
ObtectStab package that has been successfully applied to power system studies is a general-purpose simulation tool developed by the Modelica language. It takes advantages from the capability of physical modeling of Modelica language that make ones readily develop new models and use them for complex and large cases of power system studies based on object-oriented programming. However, in the situation that control of complex power systems is not easy to be realized by traditional methods, genetic algorithm (GA) becomes an alternative powerful method that can be used to solve several difficult problems without any prior or little knowledge of the systems being solved. Proposed in this paper is an incorporating the use of GA to an ObjectStab library to enhance the use of this library into optimization environment. The idea has been applied to one challenging problem of simultaneous tuning power system stabilizers in a multimachine power system. The simulation results show that the resulting controller obtained by a GA can achieve good performance.