Wide Area Monitoring and Control System Based on Smart Grid Testing Platform
A fault monitoring and diagnosis method for monitoring and data acquisition systems based on dynamic Bayesian networks was proposed to address the issues of slow processing speed and inability to detect erroneous data during data processing caused by the hybridization of internal communication protocols in smart grid control systems.The method used a cloud platform to process and save real-time data,reducing unnecessary costs incurred by various sites due to data processing,and utilized Bayesian network models to monitor erroneous data more quickly and efficiently.The communication protocols between layers were employed to quickly and efficiently transmit data to improve wide area control capabilities.The experimental results show that the monitoring and data acquisition system has improved its sensitivity by 10％to 20％compared to other systems that detect erroneous data,and the fault recognition accuracy can reach 95％,thus improving the detection and recognition capabilities of the smart grid testing platform.
monitoring and data acquisition systemcommunication protocol technologyBayesian networkfault detectionremote terminal controlsmart grid test platform
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