Open AccessLévy Moth-Flame Optimization Algorithm Based Fractional-order Load Frequency Control for Hydro-Thermal Interconnected Power Grid
Author(s) -
Dong Yang,
Taiheng Shao,
Pengfei Zhang,
Ming Lei,
Huan Ma,
Qihao Zhao,
Chengbin Ma
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/677/4/042042
Subject(s) - control theory (sociology) , pid controller , automatic frequency control , interconnection , robustness (evolution) , automatic generation control , electric power system , controller (irrigation) , grid , computer science , power (physics) , engineering , control engineering , mathematics , temperature control , control (management) , artificial intelligence , computer network , chemistry , biology , telecommunications , biochemistry , geometry , quantum mechanics , agronomy , physics , gene
Load frequency control (LFC) is an important method for frequency regulation in interconnected power grids. It is proposed that an improved moth-flame optimization algorithm based fractional-order PID load frequency control for hydro-thermal interconnection grid. The Lévy flight strategy is introduced into the moth-flame optimization algorithm to optimize the parameters of the fractional-order PID controller to improve the convergence speed and optimization accuracy. In order to verify the effectiveness of the proposed method, a simulation model of LFC system for the three-area hydro-thermal interconnection grid is established. Considering the limitations of the nonlinear factors such as governor dead band (GDB) and generation rate constraint (GRC), the proposed algorithm is used to search for the optimal fractional-order PID controller parameters. The simulation results under step load disturbances how that the proposed method has good robustness and control effect.