Advanced control scheme for harmonic mitigation and performance improvement in DC-AC microgrid with parallel voltage source inverter
Abstract This article proposes a finite set model predictive control (FS-MPC) strategy for a three-phase, two-stage photovoltaic (PV) and battery-based hybrid microgrid (HMG) system. The system incorporates parallel inverters with dual DC-link capacitors connected to a shared DC grid, enabling enhan...
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Nature Portfolio
2025-02-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-90807-5 |
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| author | Buddhadeva Sahoo Subhransu Ranjan Samantaray Mohammed M. Alhaider |
| author_facet | Buddhadeva Sahoo Subhransu Ranjan Samantaray Mohammed M. Alhaider |
| author_sort | Buddhadeva Sahoo |
| collection | DOAJ |
| description | Abstract This article proposes a finite set model predictive control (FS-MPC) strategy for a three-phase, two-stage photovoltaic (PV) and battery-based hybrid microgrid (HMG) system. The system incorporates parallel inverters with dual DC-link capacitors connected to a shared DC grid, enabling enhanced reliability and efficient power-sharing. A discrete-time HMG model is developed to predict key system parameters such as grid, circulating, and offset currents. To reduce computational complexity, the FS-MPC selectively employs 30 out of 64 switching vectors, ensuring faster processing without sacrificing performance. The system integrates an incremental conductance-based maximum power algorithm (IC-MPA) to achieve efficient PV energy extraction and a bidirectional converter model to regulate battery charging/discharging operations, maintaining DC-link voltage stability. A centralized energy management technique (CEMT) is also introduced to optimize energy flow and enhance system performance. The proposed approach is validated through comprehensive software simulations and hardware experiments, demonstrating significant improvements in power quality (PQ) and reliability (PR) under dynamic conditions. Key contributions include enhanced harmonic compensation, frequency instability mitigation, and faster response times, highlighting the practical effectiveness of the system in real-time hybrid microgrid applications. |
| format | Article |
| id | doaj-art-8a2acf8e88784965b2e741fdaa4447f0 |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-8a2acf8e88784965b2e741fdaa4447f02025-08-20T03:04:16ZengNature PortfolioScientific Reports2045-23222025-02-0115111910.1038/s41598-025-90807-5Advanced control scheme for harmonic mitigation and performance improvement in DC-AC microgrid with parallel voltage source inverterBuddhadeva Sahoo0Subhransu Ranjan Samantaray1Mohammed M. Alhaider2Department of Electrical and Electronics Engineering, SR UniversitySchool of Electrical Sciences, Indian Institute of Technology BhubaneswarDepartment of Electrical Engineering, College of Engineering in Wadi Alddawasir, Prince Sattam Bin Abdulaziz UniversityAbstract This article proposes a finite set model predictive control (FS-MPC) strategy for a three-phase, two-stage photovoltaic (PV) and battery-based hybrid microgrid (HMG) system. The system incorporates parallel inverters with dual DC-link capacitors connected to a shared DC grid, enabling enhanced reliability and efficient power-sharing. A discrete-time HMG model is developed to predict key system parameters such as grid, circulating, and offset currents. To reduce computational complexity, the FS-MPC selectively employs 30 out of 64 switching vectors, ensuring faster processing without sacrificing performance. The system integrates an incremental conductance-based maximum power algorithm (IC-MPA) to achieve efficient PV energy extraction and a bidirectional converter model to regulate battery charging/discharging operations, maintaining DC-link voltage stability. A centralized energy management technique (CEMT) is also introduced to optimize energy flow and enhance system performance. The proposed approach is validated through comprehensive software simulations and hardware experiments, demonstrating significant improvements in power quality (PQ) and reliability (PR) under dynamic conditions. Key contributions include enhanced harmonic compensation, frequency instability mitigation, and faster response times, highlighting the practical effectiveness of the system in real-time hybrid microgrid applications.https://doi.org/10.1038/s41598-025-90807-5Centralized energy management technique (CEMT)Finite set model predictive control (FS-MPC)Hybrid microgrid (HMG)Maximum power algorithm (MPA)Power quality (PQ) |
| spellingShingle | Buddhadeva Sahoo Subhransu Ranjan Samantaray Mohammed M. Alhaider Advanced control scheme for harmonic mitigation and performance improvement in DC-AC microgrid with parallel voltage source inverter Scientific Reports Centralized energy management technique (CEMT) Finite set model predictive control (FS-MPC) Hybrid microgrid (HMG) Maximum power algorithm (MPA) Power quality (PQ) |
| title | Advanced control scheme for harmonic mitigation and performance improvement in DC-AC microgrid with parallel voltage source inverter |
| title_full | Advanced control scheme for harmonic mitigation and performance improvement in DC-AC microgrid with parallel voltage source inverter |
| title_fullStr | Advanced control scheme for harmonic mitigation and performance improvement in DC-AC microgrid with parallel voltage source inverter |
| title_full_unstemmed | Advanced control scheme for harmonic mitigation and performance improvement in DC-AC microgrid with parallel voltage source inverter |
| title_short | Advanced control scheme for harmonic mitigation and performance improvement in DC-AC microgrid with parallel voltage source inverter |
| title_sort | advanced control scheme for harmonic mitigation and performance improvement in dc ac microgrid with parallel voltage source inverter |
| topic | Centralized energy management technique (CEMT) Finite set model predictive control (FS-MPC) Hybrid microgrid (HMG) Maximum power algorithm (MPA) Power quality (PQ) |
| url | https://doi.org/10.1038/s41598-025-90807-5 |
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