Designing a Fault Detection System for Wind Turbine Control Monitoring Using CEP

Renewal energies are key to face the challenges of climate change. The power generation using Wind Turbines (WT) is among the technologies with higher growth during the last year. The Operation and Maintenance (OM) of WT using condition-monitoring (CM) to minimize failures determine the cost of the produced energy and therefore its efficiency. In this work, we present the design of a Fault Detection System (FDS) for WTCM using Complex Event Processing (CEP) technology to analyze the data streams of a wind farm in real-time. Data streams are provided by the sensors and the Supervisory Control and Data Acquisition (SCADA) system installed in the WT farms. This information is analyzed to determine failures using the stability in the produced power. Changes in this stability are detected by CEP patterns deployed in a CEP engine. A real case scenario is used to illustrate this design. It consists of 30 WTs operated by a private company and shows how this approach can help to plan operation and maintenance actions.