Model Predictive Control for Real-Time Simulation of a Network-Controlled Vehicle Drivetrain

2011 ◽  
Author(s):  
Constantin Florin Caruntu ◽  
Doina Onu ◽  
Florin Catalin Braescu ◽  
Corneliu Lazar
Keyword(s):  
Model Predictive Control ◽  
Real Time ◽  
Predictive Control ◽  
Real Time Simulation ◽  
Time Simulation

scholarly journals MPC with Constant Switching Frequency for Inverter-Based Distributed Generations in Microgrid Using Gradient Descent

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1156 ◽  
Author(s):  
Hyeong-Jun Yoo ◽  
Thai-Thanh Nguyen ◽  
Hak-Man Kim
Keyword(s):  
Model Predictive Control ◽  
Real Time ◽  
Predictive Control ◽  
Gradient Descent ◽  
Negative Impact ◽  
Computation Time ◽  
Switching Frequency ◽  
Real Time Simulation ◽  
Voltage Vector ◽  
Time Simulation

Variable switching frequency in the finite control set model predictive control (FCS-MPC) method causes a negative impact on the converter efficiency and the design of the output filters. Several studies have addressed the problem, but they are either complicated or require heavy computation. This study proposes a new model predictive control (MPC) method with constant switching frequency, which is simple to implement and needs only a small computation time. The proposed MPC method is based on the gradient descent (GD) method to find the optimal voltage vector. Since the cost function of the MPC method is represented in the strongly convex function, the optimal voltage vector could be found quickly by using the GD method, which reduces the computation time of the MPC method. The design of the proposed MPC method based on GD (GD-MPC) is shown in this study. The feasibility of the proposed GD-MPC is evaluated in the real-time simulation using OPAL-RT technologies. The performance of the proposed method in the case of single inverter operation or parallel inverter operation is shown. A comparison study on the proposed GD-MPC and the MPC with the concept of the virtual state vector (VSV-MPC) is presented to demonstrate the effectiveness of the proposed predictive control. Real-time simulation results show that the proposed GD-MPC method performs better with a low total harmonic distortion (THD) value of output current and short computation time, compared to the VSV-MPC method.

scholarly journals Microsecond Enhanced Indirect Model Predictive Control for Dynamic Power Management in MMC Units

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3318
Author(s):  
Ajay Shetgaonkar ◽  
Aleksandra Lekić ◽  
José Luis Rueda Torres ◽  
Peter Palensky
Keyword(s):  
Model Predictive Control ◽  
Real Time ◽  
Predictive Control ◽  
Reactive Power ◽  
Renewable Energy Sources ◽  
Current Control ◽  
Analytical Models ◽  
Good Correspondence ◽  
Real Time Simulation ◽  
Time Simulation

The multi-modular converter (MMC) technology is becoming the preferred option for the increased deployment of variable renewable energy sources (RES) into electrical power systems. MMC is known for its reliability and modularity. The fast adjustment of the MMC’s active/reactive powers, within a few milliseconds, constitutes a major research challenge. The solution to this challenge will allow accelerated integration of RES, without creating undesirable stability issues in the future power system. This paper presents a variant of model predictive control (MPC) for the grid-connected MMC. MPC is defined using a Laguerre function to reduce the computational burden. This is achieved by reducing the number of parameters of the MMC cost function. The feasibility and effectiveness of the proposed MPC is verified in the real-time digital simulations. Additionally, in this paper, a comparison between an accurate mathematical and real-time simulation (RSCAD) model of an MMC is given. The comparison is done on the level of small-signal disturbance and a Mean Absolute Error (MAE). In the MMC, active and reactive power controls, AC voltage control, output current control, and circulating current controls are implemented, both using PI and MPC controllers. The MPC’s performance is tested by the small and large disturbance in active and reactive powers, both in an offline and online simulation. In addition, a sensitivity study is performed for different variables of MPC in the offline simulation. Results obtained in the simulations show good correspondence between mathematical and real-time analytical models during the transient and steady-state conditions with low MAE. The results also indicate the superiority of the proposed MPC with the stable and fast active/reactive power support in real-time simulation.

Real Time Simulation of a VCM Plant

1997 ◽  
Vol 21 (1-2) ◽  
pp. S1111-S1115
Author(s):  
P Lundstrøm
Keyword(s):  
Real Time ◽  
Real Time Simulation ◽  
Time Simulation
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