Data Driven Model Predictive Control Design to Enhance Tracking Accuracy and Power Quality of a Solar Based Microgrid under Uncertain Load

Author(s):  
Merina Islam ◽  
Sumaiya Yeasmin ◽  
Shahriar Fahim ◽  
Subrata Sarker ◽  
Faisal Badal ◽  
...  
Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 328
Author(s):  
Felix Garcia-Torres ◽  
Sergio Vazquez ◽  
Isabel M. Moreno-Garcia ◽  
Aurora Gil-de-Castro ◽  
Pedro Roncero-Sanchez ◽  
...  

In electric power systems, any deviation with respect to the theoretical sinusoidal waveform is considered to be a disturbance in the power quality of the electrical grid. The deviation can alter any of the parameters of the waveform: frequency, amplitude, and symmetry among phases. Microgrid, as a part of the electric power system, has to contribute providing an adequate current waveform in grid connected-mode, as well as to guarantee similar voltage features than the standard requirement given for public distribution grids under normal exploitation conditions in islanded mode. Adequate power quality supply is necessary for the correct compatibility between all the devices connected to the same grid. In this paper, the power quality of microgrids is managed using a Model Predictive Control (MPC) methodology which regulates the power converters of the microgrids in order to achieve the requirements. The control algorithm is developed for the following microgrids working modes: grid-connected, islanded, and interconnected. The simulation results demonstrate that the proposed methodology improves the transient response in comparison with classical methods in all the working modes, minimizing the harmonic content in the current and the voltage even with the presence of non-balanced and non-harmonic-free three-phase voltage and current systems.


Author(s):  
Félix Garcia-Torres ◽  
Sergio Vazquez ◽  
Isabel Moreno-Garcia ◽  
Aurora Gil-de-Castro ◽  
Pedro Roncero-Sánchez ◽  
...  

In this paper, the power quality of interconnected microgrids is managed using a Model Predictive Control (MPC) methodology which manipulates the power converters of the microgrids in order to achieve the requirements. The control algorithm is developed for the microgrids working modes: grid-connected, islanded and interconnected. The results and simulations are also applied to the transition between the different working modes. In order to show the potential of the control algorithm, a comparison study is carried out with classical Proportional-Integral Pulse Width Modulation (PI-PWM) based controllers. The proposed control algorithm not only improves the transient response in comparison with classical methods but also shows an optimal behavior in all the working modes, minimizing the harmonics content in current and voltage even with the presence of non-balanced and non-harmonic-free three-phase voltage and current systems


2013 ◽  
Vol 7 (6) ◽  
pp. 1470-1483 ◽  
Author(s):  
Chiara Toffanin ◽  
Mirko Messori ◽  
Federico Di Palma ◽  
Giuseppe De Nicolao ◽  
Claudio Cobelli ◽  
...  

2020 ◽  
Vol 53 (2) ◽  
pp. 12918-12923
Author(s):  
F. Garcia-Torres ◽  
S. Vazquez ◽  
C. Bordons ◽  
I. Moreno-Garcia ◽  
A. Gil ◽  
...  

2011 ◽  
Vol 62 (2) ◽  
pp. 99-103
Author(s):  
Vojtech Veselý

Stable Model Predictive Control Design: Sequential Approach The paper addresses the problem of output feedback stable model predictive control design with guaranteed cost. The proposed design method pursues the idea of sequential design for N prediction horizon using one-step ahead model predictive control design approach. Numerical examples are given to illustrate the effectiveness of the proposed method.


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