Research Review and Prospects for Power Grid Fault Diagnosis

Abstract

The research on power grid fault diagnosis is reviewed comprehensively. The sources and characteristics of its data, and the ways and importance of data preprocessing are analyzed. The principle, features and shortcomings of various intelligent diagnosis algorithms are briefly treated, the improvement of research results in recent years are discussed and future study directions are proposed. Then according to engineering practice, the architectural design in the online diagnosis system is summarized. Finally, the problem of power grid fault diagnosis in the background of big data in power grid dispatch and control is discussed, while the development trends are elucidated in the new situation.