Data-driven control based on marine predators algorithm for optimal tuning of the wind plant

The main challenge in controlling the wind plant nowadays is a highly arduous effort in discovering the best controller parameters of the turbines due to the wake interaction effect. The aim of this paper is to develop the data-driven control based on marine predators algorithm (MPA) for fine-tuning...

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Veröffentlicht in:	2022 IEEE International Conference on Power and Energy (PECon) S. 203 - 208
Hauptverfasser:	Tumari, Mohd Zaidi Mohd, Ahmad, Mohd Ashraf, Suid, Mohd Helmi, Ghazali, Mohd Riduwan
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 05.12.2022
Schlagworte:	Heuristic algorithms Marine predators algorithm metaheuristic optimization Optimization methods Production renewable energy Statistical analysis System performance Tuning Turbines wind farm wind plant
Online-Zugang:	Volltext
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