A Parameter Identification Algorithm for Turbine-governor System in Regional Power Grid

In this paper, the Fibonacci tree optimization (FTO) algorithm is introduced to solve the problem of the overall parameter identification of the turbine-governor system in the regional power system. The Fibonacci tree optimization algorithm has the characteristics of global and local optimization. When using for parameter identification, the global optimization ability and convergence rate of FTO are improved by weakening the multi-peak optimization of the algorithm. It can improve the adaptability of the algorithm to parameter identification. Based on frequency response curve of a simulation regional power system, the algorithm is used to identify the parameters of the simulation turbine-governor system of the regional power grid. The results of simulation show that the FTO algorithm has a good performance using for parameter identification.