Grey Prediction Control for Gas Turbine Power Generation System

Abstract

With the rapid development of CCHP, the construction of Energy Internet, the mature mining technology for natural gas and the improvement of P2G technology, the proportion of gas turbine units for generating electricity is higher and higher. As the energy conversion hub of gas and electricity, the stability of gas turbine is of great significance to the safe, economical and reliable operation of power system. In order to improve its stability, this paper applied grey prediction to its speed control system, and a simulation model for gas turbine power generation system in the mode of island operation was built on the Matlab/Simulink. The simulation results have shown that grey prediction can reduce the overshoot and accelerate the response speed of the system under both the small and large disturbance, and it can enhance the robustness of gas turbine and improve the stability of gas turbine power generation system effectively.