scholarly journals Distributed Model Predictive Load Frequency Control of multi-area Power Grid: A Decoupling Approach

2019 ◽  
Vol 52 (20) ◽  
pp. 205-210
Author(s):  
Eleftherios E. Vlahakis ◽  
Leonidas D. Dritsas ◽  
George D. Halikias
2015 ◽  
Vol 37 ◽  
pp. 417
Author(s):  
Hamidreza Iranmanesh ◽  
Ahmad Afshar

One of the efficient control methods is the model predictive control(MPC) that calculates appropriate system inputs to reduce the difference between the desired and the system predicted output. One of the important applications of this strategy is in power grids for load-frequency control and power balancing. Different architectures of MPC are applied in large scale structures such as power grid. In this paper a feasible cooperation based MPC(FC-MPC) controller has been used as a suited solution to control problem with relatively strict constraints. Also it can be used as one of options for control system of smart grids in future. In this paper, a power grid with 4 control zones has been chosen as a case study. The simulation results indicate the superior performance of the discussed control method in comparison with the traditional control of load- frequency.


2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Xiangjie Liu ◽  
Huiyun Nong ◽  
Ke Xi ◽  
Xiuming Yao

Considering the load frequency control (LFC) of large-scale power system, a robust distributed model predictive control (RDMPC) is presented. The system uncertainty according to power system parameter variation alone with the generation rate constraints (GRC) is included in the synthesis procedure. The entire power system is composed of several control areas, and the problem is formulated as convex optimization problem with linear matrix inequalities (LMI) that can be solved efficiently. It minimizes an upper bound on a robust performance objective for each subsystem. Simulation results show good dynamic response and robustness in the presence of power system dynamic uncertainties.


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