Fuzzy logic controller to improve parameters affecting gas turbines power generation

In order to improve the performance of the gas turbine power plant and to generate electricity at the best cost, a fuzzy logic controller model was used to show the effect of different parameters on the power generation output of gas turbines. The proposed methodology was applied to certain parameter values collected from Rehab power station in Jordan-as a case study-for validation purposes. Relative weights were used, i.e., very very low power generation "extremely low power generation," very low power generation, low power generation, normal power generation, high power generation, and very high power generation. The study reveals that the major factors that affect yield are ambient temperature (T ₁), compressor's exit temperature (T ₂), turbine's inlet temperature (T ₃), turbine exit temperature (T ₄), pressure ratio (R _p), mass of fuel (M _f), relative humidity (H), turbine efficiency (η_t), and compressor efficiency (η_c). Based on the increase of productivity, the results show that different factors are found to affect the yield of a power generator. Therefore, using fuzzy logic controller model has lead the researchers to focus on the highest priority parameters that should be enhanced and developed to increase the power output productivity.