Fault detection and power quality analysis of wind turbine system using integrated systems
| Autor: | Anburaj Mutharasan, Perumal Chandrasekar |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | International Journal of Power Electronics and Drive Systems (IJPEDS). 13:576 |
| ISSN: | 2722-256X 2088-8694 |
| Popis: | Growth in the need for electric energy and fossil fuel scarcity endorses renewable energy generation sources. The generation cost of electric power utilizing wind turbines is cost-effective and straightforward compared toother renewable energy sources (RES). Recently, hasty research anddevelopments have been presented in wind turbines (WT) by researchersglobally. Although wind-based energy production is more content, plantingthe WT is challenging. Maintaining the WT from fault incidence is highlycrucial. The fault in the WT distresses the power quality of the produced energy. This condensed power quality affects the transmission systems,substations, and loading end of the renewable source. Also, gearmalfunctioning is the primary reason for most of the downtime in windturbines. This work successfully proposed and implemented adeoxyribonucleic acid (DNA) sequencing-based control technique to reducethe drive train vibration. Therefore, fault detection and monitoring in WTs play an active part in power production and quality maintenance. In thiswork, a vibration-grounded WT gearbox fault observing scheme is proposedto increase the power quality. Precisely, a wavelet is executed to chart thevibration gesture. Also, the current sensor gesture is implemented todiscover the power quality variances associated with the WT's vibrationmagnitude. |
| Databáze: | OpenAIRE |
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