Multi-area Load frequency control of hydro-thermal-wind power based on dynamic weight grey wolf algorithm

Abstract

Large scale interconnected power system is the inevitable trend of power grid development. However, with the integration of wind power and other intermittent energy sources, the frequency disturbance problem will threaten the stability of the whole large-scale interconnected power system. The mathematical model of load frequency control based on the research background of five-area hydro-thermal-wind interconnected power system was established for solving the problem of frequency instability caused by large-scale wind power integration in this paper. In order to solve the problem of slow convergence speed and convergence accuracy of grey wolf algorithm, an improved gray wolf algorithm with dynamic weight factor is introduced. The grey wolf algorithm with dynamic weight is applied to the load frequency control mathematical model of five-area hydro-thermal-wind interconnected power system for the first time. The simulation results show that the optimized PI controller based on gray wolf algorithm with dynamic weight can adjust the control parameters of PI controller following the random disturbance of wind power, and has better control effect than the traditional gray wolf algorithm(GWO) and particle swarm algorithm(PSO).