Modeling and identification of an industrial gas turbine using classical and non-classical approaches

摘要

In this paper, data-driven modeling and identification of an industrial, simple cycle, heavy duty Gas Turbine is taken into consideration. The GGOV1 model that was introduced by Western Electricity Coordinating Council (WECC), is suggested here for describing dynamics and behaviour of Gas Turbines. It is shown that GGOV1 model that is expressed as the classical approach, can fulfill our needs in academic studies and engineering purposes. Non-classical identification of Gas turbine is also done via Artificial Neural Networks. Comparison between the two methods and real data shows reliability and acceptable precision of both models.