Enhancing voltage stability of grid forming power converters based on model predictive controller

• Comparison of Controllers: Initial comparison between PI and Proportional-Resonant (PR) controlled Voltage Source Inverter (VSI) and Model Predictive Controller (MPC) based VSI. • Model Predictive Controller (MPC) Performance: Comprehensive analysis showcasing the superior performance of MPC in enhancing voltage stability. Improved dynamic response and robustness of MPC under varying loads. • Simulation Studies: Extensive simulations conducted for an AC Microgrid (MG) under different scenarios. And scenarios include variations in load demand and generation sources to test the reliability and effectiveness of the MPC. • Voltage Stability Enhancement: Validation of MPC’s capability to maintain stable voltage levels in a microgrid environment and demonstration of MPC’s effectiveness in handling transient disturbances and maintaining voltage stability. • Contributions to Microgrid Control: The study contributes significantly to the field of microgrid control and renewable energy integration and provides a strong case for adopting MPC in grid-forming power converters to enhance overall system stability and performance. This research article proposes an advanced control strategy based on a finite control set model predictive controller (FCS-MPC) for parallel-connected voltage source inverters (VSIs) for standalone operation of AC microgrids (MGs). The AC MGs may be consisted of two or more parallel connected VSIs connected and have ability to regulate the output line to line voltages at the point of common coupling (PCC) sustaining the local power demand. It is possible to attain these functionalities using traditional and linear control approaches, but there exist several challenges like sensitivity problems associated to parametric and non-parametric variations and they are unable to handle with existing constraints in system and resulting in slow dynamic response. An imperative feature of this research study is that proportional integral (PI) as well as proportional resonant (PR) controller based VSI was designed, studied and its performance was compared with FCS-MPC based VSI. The proposed FCS-MPC-based scheme handles several challenges effectually by confirming a stable and robust operation for Gridforming (GFM) inverters of AC MGs. In this scheme, the voltage reference over the predictive horizon is tracked by formulating a cost function (CF) and droop control is used to attain power sharing among distributed generations (DGs). The operation of standalone AC MG is authenticated by extensive simulations in MATLAB/Simulink environment, demonstrating that the FCS-MPC strategy shows quick dynamic response, improved power quality as well as enhanced voltage stability. The simulation results also reveal that total harmonic distortion (THD) of output line to line voltages is 0.86% for linear loads and 0.98 % for nonlinear loads, verifying that the THD level is primarily in the acceptable range defined by the IEC as well as IEEE standards, highlighting the AC MG system’s compliance with international standards.

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Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2024-11-05
DOI
https://doi.org/10.1016/j.ijepes.2024.110317
Citations
12
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
3.94
Controls
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article

Enhancing voltage stability of grid forming power converters based on model predictive controller

Ênio Costa Resende, Hannu Laaksonen, Qudrat Ullah, L.C. de Freitas et al.
12 citations
International Journal of Electrical Power & Energy Systems
Microgrid Control and Optimization
3.94
article

Enhancing voltage stability of grid forming power converters based on model predictive controller

Ênio Costa Resende, Hannu Laaksonen, Qudrat Ullah, L.C. de Freitas, Marcelo Godoy Simões
article en
12 citations

Abstract

• Comparison of Controllers: Initial comparison between PI and Proportional-Resonant (PR) controlled Voltage Source Inverter (VSI) and Model Predictive Controller (MPC) based VSI. • Model Predictive Controller (MPC) Performance: Comprehensive analysis showcasing the superior performance of MPC in enhancing voltage stability. Improved dynamic response and robustness of MPC under varying loads. • Simulation Studies: Extensive simulations conducted for an AC Microgrid (MG) under different scenarios. And scenarios include variations in load demand and generation sources to test the reliability and effectiveness of the MPC. • Voltage Stability Enhancement: Validation of MPC’s capability to maintain stable voltage levels in a microgrid environment and demonstration of MPC’s effectiveness in handling transient disturbances and maintaining voltage stability. • Contributions to Microgrid Control: The study contributes significantly to the field of microgrid control and renewable energy integration and provides a strong case for adopting MPC in grid-forming power converters to enhance overall system stability and performance. This research article proposes an advanced control strategy based on a finite control set model predictive controller (FCS-MPC) for parallel-connected voltage source inverters (VSIs) for standalone operation of AC microgrids (MGs). The AC MGs may be consisted of two or more parallel connected VSIs connected and have ability to regulate the output line to line voltages at the point of common coupling (PCC) sustaining the local power demand. It is possible to attain these functionalities using traditional and linear control approaches, but there exist several challenges like sensitivity problems associated to parametric and non-parametric variations and they are unable to handle with existing constraints in system and resulting in slow dynamic response. An imperative feature of this research study is that proportional integral (PI) as well as proportional resonant (PR) controller based VSI was designed, studied and its performance was compared with FCS-MPC based VSI. The proposed FCS-MPC-based scheme handles several challenges effectually by confirming a stable and robust operation for Gridforming (GFM) inverters of AC MGs. In this scheme, the voltage reference over the predictive horizon is tracked by formulating a cost function (CF) and droop control is used to attain power sharing among distributed generations (DGs). The operation of standalone AC MG is authenticated by extensive simulations in MATLAB/Simulink environment, demonstrating that the FCS-MPC strategy shows quick dynamic response, improved power quality as well as enhanced voltage stability. The simulation results also reveal that total harmonic distortion (THD) of output line to line voltages is 0.86% for linear loads and 0.98 % for nonlinear loads, verifying that the THD level is primarily in the acceptable range defined by the IEC as well as IEEE standards, highlighting the AC MG system’s compliance with international standards.

International Journal of Electrical Power & Energy SystemsVol. 163
University of Vaasa (FI), Universidade Federal de Uberlândia (BR)
Affordable and clean energy
Openalex Percentile: Top 6%
Microgrid Control and Optimization
3.94
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