Intelligent aided decision-making method for power grid outage maintenance plan based on machine learning

Abstract

The conventional intelligent auxiliary decision-making method for power grid outage maintenance plan mainly uses sensitivity analysis method to determine load nodes, which is vulnerable to the quantitative evaluation relationship of dangerous branches, resulting in the high proportion of power grid outage maintenance capacitance loss. Therefore, a new intelligent auxiliary decision-making method for power grid outage maintenance plan needs to be designed based on machine learning.That is to say, the intelligent auxiliary decision-making model of power grid outage maintenance plan is constructed by combining edge computing, and the intelligent auxiliary decision-making algorithm of power grid outage maintenance plan is designed by using machine learning technology, thus realizing the intelligent auxiliary decision-making of power grid outage maintenance plan.The experimental results show that the proportion of capacitance loss in outage maintenance of the power grid of the intelligent decision-making method designed is low, which proves that the decision-making effect of the designed decision-making method is good, has reliability, has certain application value, and has made certain contributions to reducing the power grid operation loss.