"基于能量比与FLS的UHVDC输电线路故障处理方法研究及改进"

Voltage Direct Current (UHVDC) transmission system has the advantages of high transmission efficiency and low line losses, making it suitable for long-distance power transmission and integration of distributed energy resources. Unlike traditional AC power grids, the power flow in UHVDC systems is independent of the phase angles between power sources, allowing for network stability even during rapid power changes. However, in the event of a fault in a DC system, the fault current rises quickly and the power electronic devices have low tolerance for overcurrent, thus requiring improvements in the protection performance of the grid. Various fault identification and classification methods have been proposed to enhance the stability of UHVDC systems. For example, a fault identification method based on wavelet transform has been proposed in literature [5], but it requires high sampling rate data and imposes high demands on sensors and computing power, limiting its practicality for widespread application. Another method using support vector machines for fault detection, classification, and location estimation in high-voltage DC transmission lines has been introduced in literature [6], but it necessitates large amounts of training data, more memory, complex algorithms, and does not identify the faulty component. Additionally, a method based on traveling waves for high;