Application on intelligent control technology for energy saving in substation

In order to improve the energy efficiency level of the power system and contribute to the energy-saving and consumption reduction goals of the new power system, this article explores the use of intelligent control technologies such as building equipment data cleaning, particle swarm optimization algorithm, and load forecasting to comprehensively grasp the operating status and energy efficiency of the energy system, timely discover and solve problems, and improve management efficiency and scientific decision-making. This article applies intelligent and intelligent control technology to the group electricity of electric heaters in substations, with a comprehensive energy-saving rate of 14.9% and energy-saving and carbon reduction effects. This technology reduces manpower input and management costs, providing reference for the promotion and application of energy-saving and consumption reducing technologies for new source access substations in the new type power systems.