Model based predictive control with switcher of redundant vectors for a cascade H-bridge multilevel STATCOM

Comparatore, Leonardo; Renault, Alfredo; Pacher, Julio; Gregor, Raúl; Rodas, Jorge; Rivera, Marco

doi:10.1109/andescon.2016.7836239

Cited by 9 publications

(5 citation statements)

References 9 publications

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“…For the GSA, the steps of the process are i. Initialize population of "N" agents each having a random position and calculate the cost associated with the agents. The cost is calculated using the evaluation function given in Equation 29. ii.…”

Section: Figurementioning

confidence: 99%

“…Wang et al have presented three optimum LQR to control the STATCOM. Model predictive controller (MPC) has also appeared in different studies for the control of STATCOM . In another approach, the d‐axis and q‐axis currents and voltages have been controlled separately to regulate the voltages of DC capacitor and AC system.…”

Section: Introductionmentioning

confidence: 99%

“…Model predictive controller (MPC) has also appeared in different studies for the control of STATCOM. 28,29 In another approach, the d-axis and q-axis currents and voltages have been controlled separately to regulate the voltages of DC capacitor and AC system. This strategy has been addressed in Chen and Hsu.…”

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confidence: 99%

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Controller parameter optimization for a 13‐level cascaded H‐bridge medium voltage static synchronous compensator

Soodi

Vural

2018

Int Trans Electr Energ Syst

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Summary In this paper, a 13‐level cascaded H‐bridge medium voltage static synchronous compensator (STATCOM) has been designed for dynamic reactive power compensation. The dynamic performance of STATCOM has been enhanced by finding the optimal PI controller parameters using particle swarm and gravity search algorithms. In order to avoid capacitor voltage drifting, individual voltage balance control loop is introduced. The results of optimization methods on finding optimal PI controller parameters of STATCOM are verified and compared by simulation studies. The results show that each optimization technique renders effective tracking of both, DC‐link voltage reference values, direct current, reactive current, and reactive power reference values during the closed‐loop operation of STATCOM.

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Section: Figurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Controller parameter optimization for a 13‐level cascaded H‐bridge medium voltage static synchronous compensator

Soodi

Vural

2018

Int Trans Electr Energ Syst

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“…However, the MPC scheme operates with variable frequency leading to a spread switching spectrum [20]. To eliminate the variable switching frequency behavior of the classical MPC, this article introduces a fixed switching frequency MPC (FSF-MPC) based on a phase shift multicarrier pulse-width modulation (PSM-PWM) approach [21,22] and the experimental assessment of the CHB-based MMC [23].…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Control of a Modular 7-Level Converter Based on SiC-MOSFET Devices—An Experimental Assessment

et al. 2022

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Power converter technology has expanded into a wide range of low, medium, and high power applications due to the ability to manage electrical energy efficiently. In this regard, the modular multilevel converter has become a viable alternative to ensure an optimal harmonic profile with a sinusoidal voltage at the load side. Model predictive control (MPC) is a state-of-the-art technique that has been successfully used to control power electronic converters due to its ability to handle multiple control objectives. Nevertheless, in the classical MPC approach, the optimal vector is applied during the whole sampling period producing an output voltage. This solution causes an unbalanced switching frequency of the power semiconductor, which then causes unbalanced stress on the power devices. Modulation strategies have been combined with MPC to overcome these shortcomings. This paper introduces the experimental assessment of a 7-level converter combining a simple phase shift multicarrier pulse-width modulation approach with the MPC technique. A custom test-bed based on SiC-MOSFETs switches is used to validate the proposal.

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“…The represented dc sources could be battery cells connected to the grid through the proposed CMI. The latter of these control objectives is made possible by the proposed hierarchical approach to the control objective tracking, whereas traditional MPC requires complex logic external to the cost function [27,28]. These approaches quickly become impractical as the number of cascaded bridges increase, as the number of switching sequences increase exponentially.…”

Section: Introductionmentioning

confidence: 99%

Hierarchical Model Predictive Control of Grid-Connected Cascaded Multilevel Inverter

Easley

Shadmand

Abu‐Rub

2021

IEEE J. Emerg. Sel. Topics Power Electron.

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This paper presents a hierarchical finite-set model predictive control (MPC) scheme to enable autonomous operation and self-balancing cascaded multilevel inverter. The proposed approach is an alternative to MPC scheme based on a generic cost function, which in some applications is ill fit or challenging to design. The proposed controller has a hierarchical framework to eliminate the overall cost function optimization and associated weight factor design stage of the control objectives. The control formulation approach allows for multi-objective optimization with a cost-tolerance framework. The concept is well-suited to simplify the control design stage of cascaded H-bridge inverters at the gridedge with advanced functionality. The control scheme achieves active and reactive power control with switching event reduction while equalizing power draw from the independent voltage sources. The latter of these objectives is made possible by the proposed hierarchical approach to the control objective tracking. The control is modularized for each phase, making the system robust to unbalanced grid conditions. The concept is explained in depth in simulation, and then tested experimentally on hardware. I.This publication was made possible by grant # NPRP 12S-0226-190158 (autonomous operation and self-balancing cascaded multilevel inverter) from Qatar National Research Fund (a member of the Qatar Foundation). The statement made herein are solely the responsibility of the authors.

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Model based predictive control with switcher of redundant vectors for a cascade H-bridge multilevel STATCOM

Cited by 9 publications

References 9 publications

Controller parameter optimization for a 13‐level cascaded H‐bridge medium voltage static synchronous compensator

Controller parameter optimization for a 13‐level cascaded H‐bridge medium voltage static synchronous compensator

Model Predictive Control of a Modular 7-Level Converter Based on SiC-MOSFET Devices—An Experimental Assessment

Hierarchical Model Predictive Control of Grid-Connected Cascaded Multilevel Inverter

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