吉林大学学报(信息科学版) ›› 2025, Vol. 43 ›› Issue (4): 887-893.

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双碳背景下电力企业办公能耗节能功率控制算法

刘海洋1a, 刘座铭1b, 刘 炳1b, 张伟利2   

  1. 1. 国家电网有限公司a. 国网吉林省电力有限公司,长春130022;b. 电力科学研究院, 长春130021; 2. 吉林建筑大学 现代产业学院, 长春130119
  • 收稿日期:2025-02-26 出版日期:2025-08-15 发布日期:2025-08-15
  • 通讯作者: 刘座铭(1982— ), 男, 吉林榆树人, 国网吉林省电力有限公司 正高级工程师,博士,主要从事数据分析、电力能耗管理研究,(Tel)86-431-85792118(E-mail)lzmhero_@126.com。 E-mail:3935936@ qq. com
  • 作者简介:刘海洋(1985— ), 男, 辽宁开源人, 国网吉林省电力有限公司高级工程师, 主要从事绿色建筑、 能源管理研究, (Tel) 86-431-85793551(E-mail)3935936@ qq. com
  • 基金资助:
    国网吉林省电力有限公司科技基金资助项目(2024-51) 

Energy Saving Power Control Algorithm for Office Energy Consumption in Power Enterprises under Dual Carbon Background

LIU Haiyang1a, LIU Zuoming1b, LIU Bing1b, ZHANG Weili2    

  1. 1a. State Grid Jilin Electric Power Company Limited, Changchun 130022; 1b. Electric Power Science Research Institute, Changchun 130021, State Grid Corporation of China, China; 2. College of Modern Industry, Jilin Jianzhu University, Changchun 130119, China
  • Received:2025-02-26 Online:2025-08-15 Published:2025-08-15

摘要: 电力企业办公区域中的温度、湿度、空气质量等环境因素具有动态变化特性,且相互之间存在复杂关系。这些因素对能耗的影响难以准确量化,增加了控制算法的复杂性。为此,提出双碳背景下电力企业办公能节能功率控制算法。利用环境传感器布设传感器网络,采集办公环境的信息数据,并利用回归模型建立环境 因素与能耗之间的线性关系,量化环境因素对能耗的影响。根据环境因素与能耗之间的线性关系,计算办公环境耗能设备的功率损耗和年度用电量,预测未来特定时段内企业办公的能耗变化情况。通过设定传感器和 能耗数据与控制中心的连接指令,构造设备能耗调节约束模型,结合设备能耗强度和调制功率设计节能控制函数,由此实现办公能耗节能功率控制。实验结果表明,在研究方法的应用下,电力企业办公环境的节能率和 减排量分别高达35%35 t, 具有较好的节能减排效果,能满足双碳目标需求。

关键词: 双碳背景, 电力企业, 办公区域, 能耗节能, 减排效果

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

中图分类号: 

  • TP391