Study on the BL Early Warning Model of Transmission Line Tower Based on KNN-SVM Algorithm

Abstract

With the expansion of China’s power grid construction scale, the transmission line span are gradually improved, which also increases the risk of BL stroke on the transmission line. However, the traditional passive BL protection has many problems, such as weak pertinence and high investment cost, which can not meet the needs of social development. KNN can well describe the similarity measure between the two, which can effectively reduce the training samples. SVM can find the best compromise between model complexity and learning ability in small samples, which is a good sample training method. Through KNN - in-depth learning of the historical data of BL activities accumulated in the power grid, a supervised BL early warning model (hereinafter referred to as EWM) of transmission line can be trained. At the same time, the BL strike of transmission line tower (hereinafter referred to as TLT) has complex meteorological conditions, which requires comprehensive confirmation of various monitoring point parameters. Therefore, it is of great significance to study the BL EWM of TLT based on KNN-SVM algorithm. Firstly, this paper analyzes the KNN-SVM algorithm. Then, this paper establishes an EWM. Finally, this paper is verified.

Construction Schedule of Medium Voltage Overhead Distribution Network Optimization Based on Neural Network Algorithm

“…In recent years, with the rapid development of China's economy and the continued increase of various social needs, China's manufacturing industry continues to prosper, and the country's electricity demand from the whole continues to increase, and the relevant configuration of the power grid is limited by the development of the local economic level [5]. Under normal circumstances, if the region's economy is developed and the manufacturing industry is more developed, then the demand for electricity in the region is bound to be huge, so the monitoring of the construction progress of the medium voltage overhead distribution network in the region is also very important, and the wiring of the medium voltage overhead distribution network in the region is also more complex compared to less developed regions [6].…”