Optimization Design of Transmission Line Planning Model Based on Big Data Algorithm

Transmission line is an important component of power transmission in electrical power system (EPS), and its security and stability directly affect the reliability of EPS. With the continuous growth of various industries, the demand for energy is increasing, and the demand for power supply reliability is gradually increasing. At present, the power grid company has accumulated a large amount of data related to power equipment, which includes the basic account data of the equipment, the running state of the equipment, the fault records of the equipment, the micro-topography data where the equipment is located and the meteorological data. How to use these data to ensure the safe and reliable transmission of transmission lines is of great significance to improve the stability and security of EPS. In order to quickly and accurately identify the fault lines in the power grid and maintain the safe and stable operation of the power grid, it is of great significance to identify the fault types of transmission lines. In this article, a transmission line fault pre-alarm model based on the big data classification algorithm of support vector machine (SVM) is proposed, which can diagnose the faults of transmission lines based on big data analysis, so as to realize the optimal design of transmission lines.