Research On Fault Diagnosis Model And System With Multi-source Condition Taken Into Account

Accurate and rapid fault diagnosis is able to improve safety and reliability of power system and reduce outage losses. As the power system becomes more complex and nonlinear, possibility and complexity of the accident is increasing greatly. Meanwhile, the application of many monitoring device, such as WAMS, SCADA, and relay protection and fault information system, provides more information sources for fault diagnosis. Therefore, Accurate and rapid fault diagnosis method with high fault-tolerance performance is of great value for research and practice.Using substation, central control center and dispatching center as objects, this article summarizes the application and research of fault diagnosis system. According to fault diagnosis model, the article proposes a new method considering electrical information and its temporal variation information, which applies electric break information to electric assessment and improves the existing interrupted area analysis method. by improving the objective function, the model can analyze complex and massive accident effectively with breakers failing to operate and refusing to act. In the end, some cases are proposed to summarize the demands and challenges of fault diagnosis for smart grid with a fault diagnosis system under big data raised:(1) Study the structure of fault diagnosis system; analyze the differences between different information sources and departments; introduce the development and application of intelligent alarm processing and fault diagnosis system based on CCCOS.(2) Apply electric break information to searching outage areas, so that outage area analysis is no longer dependent on switching actions and large-scale topology search.(3) proposes a new method considering electrical information and its temporal variation information, which applies electric break information to electric assessment and improves the existing interrupted area analysis method. Moreover, through introducing integrated electrical index, extending criterions of current change rate, phase angle and indicators of mutations temporal variation, and improving the objective function, the model can analyze complex and massive accident effectively with breakers failing to operate and refusing to act. In the end, some cases are proposed to summarize the demands and challenges of fault diagnosis for smart grid with a fault diagnosis system under big data raised.(4) The chapter proposes a cloud computing platform architecture for fault diagnosis, which is able to preprocess the semi-structured and unstructured data.