ArticleScientific reports2025
MATLAB implementation of dual synergetic control for multi-rotor wind turbine systems.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Predictive riccati control for enhancing power quality using extended pq theory in wind energy-based conversion systems.Scientific reports · 2025Article
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5 authors.
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Abstract
Synergetic control (SC) is a technique that is easy to apply and has a fast dynamic response for managing the power generated by a doubly-fed induction generator. However, using this strategy in a power system does not yield satisfactory results regarding energy quality and performance. This research proposes using the dual SC (DSC) technique in conjunction with the modified space vector modulation to enhance performance and increase the robustness of the studied power system. Multi-rotor wind turbines are used to convert wind power into mechanical power. This work investigates the impact of inverter levels on the power quality and competence of the energy system. The designed regulator was applied to the direct power control approach using MATLAB, where some different tests were used. The efficacy and competence of the designed method were compared with the strategy based on the SC controller. The simulated results confirmed the efficacy and strength of the designed control based on DSC regulators compared to the approach based on the SC, where the value of total harmonic distortion was minimized by an estimated ratio of 7.17% and 24.36%. The suggested method in the case of a variable wind speed test reduces the active power ripples by an estimated 40% compared to the control based on the SC. Also, the suggested method in the case of durability testing reduces the value of response time and overshoot of active power by approximately 46.11% and 42.29%, respectively. These results show the efficiency of the suggested method in enhancing the quality of energy and current, which will be of interest in the future.
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