Predictive Control for Parallel Grid-Connected Inverters with Low-Voltage Ride-Through Capability

The integration of distributed energy resources (DERs) via three-phase inverters plays a significant role in supporting the stability and reliability of AC power systems. This paper focuses on meeting grid code (GC) requirements concerning the integration of renewable energy sources (RES) and electric vehicles (EVs). A novel model predictive control (MPC) algorithm is proposed to provide the required grid support for parallel inverters during disturbances. The proposed strategy is validated across various fault scenarios, including symmetrical and asymmetrical faults. The considered scenarios focused on different severity levels of voltage sags, demonstrating the algorithm's robustness and adaptability in maintaining grid stability under adverse conditions. The results showcase the effectiveness of the topology in eliminating double-line frequency disturbances in active power during fault conditions. Moreover, it ensures accurate active and reactive power injections into the grid while adhering to operational standards and meeting the required GC.

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Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/iecon55916.2024.10905777
Citations
2
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.66
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article

Predictive Control for Parallel Grid-Connected Inverters with Low-Voltage Ride-Through Capability

Abdelbasset Krama, Sertaç Bayhan, Anas Karaki
2 citations
Microgrid Control and Optimization
0.66
article

Predictive Control for Parallel Grid-Connected Inverters with Low-Voltage Ride-Through Capability

Abdelbasset Krama, Sertaç Bayhan, Anas Karaki
article en
2 citations

Abstract

The integration of distributed energy resources (DERs) via three-phase inverters plays a significant role in supporting the stability and reliability of AC power systems. This paper focuses on meeting grid code (GC) requirements concerning the integration of renewable energy sources (RES) and electric vehicles (EVs). A novel model predictive control (MPC) algorithm is proposed to provide the required grid support for parallel inverters during disturbances. The proposed strategy is validated across various fault scenarios, including symmetrical and asymmetrical faults. The considered scenarios focused on different severity levels of voltage sags, demonstrating the algorithm's robustness and adaptability in maintaining grid stability under adverse conditions. The results showcase the effectiveness of the topology in eliminating double-line frequency disturbances in active power during fault conditions. Moreover, it ensures accurate active and reactive power injections into the grid while adhering to operational standards and meeting the required GC.

Hamad bin Khalifa University (QA)
Affordable and clean energy
Openalex Percentile: Top 27%
Microgrid Control and Optimization
0.66
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