Research On Power Grid Fault Diagnosis System Based On Cloud Computing

When the power grid occurs fault, massive fault messages generated by EMS/SCAD A, plant-station SOE and fault recorder networking system will be poured into the dispatching center. On the one hand, different sources provide more detailed and reliable information for fault diagnosis; on the other hand, more stringent requirements will be produced in the storage and processing of vast fault information, the traditional fault diagnosis system can not meet the needs of real-time and rapid in face of them. Therefore, the development of a fault diagnosis system can fully exploit the advantages of different sources and efficiently handle massive information to achieve fault equipment location is very necessary.To realize the real-time and fast fault diagnosis, this paper combines with cloud computing and thread pool to analyze massive information provided by different systems. When the power grid second model is complete, the method combines the information theory with expert system will be used to locate the suspected fault equipment; otherwise, utilizing the cloud computing platform based on Hadoop to store the massive fault information., and the rule stored in HBase will be automatically generated by combining with the template and power grid first model, then locating the suspected fault station by using MapReduce to concurrently match the messages with rules. To accurately locate the fault device, analyzing the fault recorder data called by the suspicious station through HTTP and PHP. The massive fault recorder data will be parallel parsing by thread pool. Ensuring that the mutation time still be accurately extracted to determine the fault line when the field environment is complex, this paper uses the method of mutation detection to improve the detection process of singular point based on wavelet analysis. Meanwhile, this paper devises the method of fault feature extraction and diagnostic criterion of the bus and transformer according to relay protection principles.To adapt to the requirement of practicality and intelligence, the system uses a object-oriented modular design and develops the modules by adopting the technology of the multi-process, multi-thread, network communication and event management, the user can select different modules to achieve the desired functions according to the actual demand. What is more, the system can realize online fault diagnosis and offline fault inversion. Furthermore, this paper design a feature-rich, relatively friendly interactive interface and provides many system tools for user-friendly operation. The system has seamless accessed to the Quanzhou dispatching ies600 system, and the field cases show that the system can assist regulation personnel accurately to locate the fault equipment in time.