Performance Enhancement of Photovoltaic Systems Using Parrot Optimization Algorithm-Based Optimal Control Scheme

This paper presents an optimized control strategy for enhancing the low-voltage-ride-through (LVRT) capability of photovoltaic (PV) systems. The proposed method employs a proportional-integral (PI) controller, which is designed using the Parrot Optimization Algorithm (POA). The PV system is connecte...

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Veröffentlicht in:2024 6th International Conference on Smart Power & Internet Energy Systems (SPIES) S. 165 - 171
Hauptverfasser: Alqahtani, Ayedh H., Hasanien, Hany M.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 04.12.2024
Schlagworte:
Choppers (circuits)
grid-connected PV systems
Inverters
low voltage ride-through
Optimization
parrot optimization algorithm
Photovoltaic systems
Power system dynamics
renewable energy integration
Renewable energy sources
Simulation
Smart grids
Software
Software algorithms
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Zusammenfassung:This paper presents an optimized control strategy for enhancing the low-voltage-ride-through (LVRT) capability of photovoltaic (PV) systems. The proposed method employs a proportional-integral (PI) controller, which is designed using the Parrot Optimization Algorithm (POA). The PV system is connected to the grid via a DC boost chopper and a grid-side inverter. The incremental conductance method is applied to track the maximum power of the PV system. A cascaded control strategy is implemented to control the grid-side inverter. The effectiveness of the POA-PI controller is tested under various symmetrical and asymmetrical fault conditions, demonstrating significant performance improvements. The results are compared with those obtained from a genetic algorithm-PI control system. Numerical simulations are carried out using PSCAD/EMTDC software, illustrating the robustness of the proposed approach.
DOI:10.1109/SPIES63782.2024.10983438