Multi-objective optimization of IGV position in a heavy-duty gas turbine on part-load performance

More than 60% of the power generated in Iran depends on the technical characteristics of heavy-duty gas turbine power plants. The ability to make changes in the amount of compressor air flow via positioning Inlet Guide Vanes (IGV) has been considered to improve the techno-economic quality of the mentioned gas turbine power in different operational conditions. In this study, system modeling was conducted based on operational data, using the outputs of the industrial code developed in various conditions. This model was derived via thermodynamic equations and linear regression functions. Subsequently, multi-objective genetic algorithm optimization of IGV position was employed to optimize the objective functions in the power generation range of 40%-100% (nominal) load. Thermal efficiency and electricity generation cost, which cover the main decision factors in energy management systems in Iran, were selected as the objective functions. (C) 2017 Elsevier Ltd. All rights reserved.