Abstract:  The environmental factors such as temperature, humidity, and air quality in the office area of power enterprises have dynamic changes and complex relationships with each other. The impact of these factors on energy consumption is difficult to accurately quantify, which increases the complexity of control algorithms. Therefore, an energy-saving power control algorithm for office energy consumption in power enterprises under the dual carbon background is proposed. Using environmental sensors to deploy sensor networks, collecting information data from office environments, and establishing a linear relationship between environmental factors and energy consumption and using regression models to quantify the impact of environmental factors on energy consumption. Based on the linear relationship between environmental factors and energy consumption, the power loss and annual electricity consumption of energy consuming equipment in the office environment are calculated, and the energy consumption changes of the enterprise‘s office during a specific period in the future are predicted. By setting the connection instructions between sensors and energy consumption data with the control center, a device energy consumption regulation constraint model is constructed, and an energy-saving control function is designed based on the energy consumption intensity and modulation power of the device, thereby achieving office  energy consumption energy-saving power control. The experimental results show that under the application of research methods, the energy-saving rate and emission reduction of the office environment in power enterprises are as high as 35% and 35 tons respectively, with good energy-saving and emission reduction effects, which can meet the requirements of the dual carbon target. 

Key words: dual carbon background, electric power companies, office area, energy consumption and conservation, emission reduction effect