Load Frequency Control for Power System using Generalized Extended State Observer
Author(s) -
Anh Tran,
Phong Thanh Tran,
Van Van Huynh
Publication year - 2021
Publication title -
journal of advanced engineering and computation
Language(s) - English
Resource type - Journals
ISSN - 2588-123X
DOI - 10.25073/jaec.202151.307
Subject(s) - control theory (sociology) , electric power system , control engineering , turbine , computer science , governor , automatic frequency control , robustness (evolution) , power (physics) , engineering , control (management) , mechanical engineering , telecommunications , physics , quantum mechanics , artificial intelligence , aerospace engineering , biochemistry , chemistry , gene
This study investigates load frequency control based generalized extended state observer (GESO) for interconnected power system subject to multi-kind of the power plant. First, the mathematical model of the interconnected power system is proposed based on the dynamic model of thermal power plant with reheat turbine and hydro power plant. Second, the GESO is designed to estimate the system states and disturbances. In addition, the problem of unmeasurable of system states in the interconnected power network due to lack of sensor has been solved by using the proposed load frequency control based GESO. The numerical experiments are carried out by using MATLAB/ SIMULINK simulation. The simulation results point out that the proposed control approach has capacity to handle the uncertainties and disturbances in the interconnected power system with better transient performances in comparison with the existing control approach. The relevant dynamic models have already been used for the simulation of the physical constraints of governor dead band (GDB) and generation rate constraint (GRC) effect in the power plants. It is evident that the robustness of the suggested controller in terms of stability and effectiveness of the system.
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