基于大数据的空调用电量研究
Research on electricity consumption of air conditioners based on big data
摘要：
为实现夏季用电高峰期对空调等用电设备的柔性负荷控制,避免出现电网拉闸限电等极端用电调控现象,建立了空调用电量简化计算模型和能耗模型,结合20万台空调实际运行数据研究了用户温度设定习惯和能耗随设定温度的变化规律,并提出了空调用电柔性调控建议。结果表明:用电量简化计算模型经实际工程验证有效,误差可控制在5%以内;制冷设定温度每提高1 ℃可节约电量0.054 kW·h,制热过程每调低1 ℃可节约电量0.061 kW·h;通过直接功率限定或间接温度限定可实现用电的柔性调控。
Abstract：
In order to realize the flexible load control of air conditioners and other electrical equipment during the peak period of electricity consumption in summer,and to avoid extreme power regulation and control phenomena such as power grid shutdown and power rationing,this paper establishes a simplified calculation model of electricity consumption and an energy consumption model for air conditioners.Combined with the actual operation data of 200 000 air conditioners,the user’s temperature setting habits and the change law of energy consumption with the set temperature are studied,and the suggestions for flexible regulation of air conditioner electricity consumption are put forward.The results show that the simplified calculation model of electricity consumption is effective after actual engineering verification,and the error can be controlled within 5%.Every 1 ℃ increase in the cooling set temperature can save 0.054 kW·h of the electricity,and every 1 ℃ decrease in the heating process can save 0.061 kW·h of the electricity.Flexible regulation of electricity consumption can be realized through direct power limitation or indirect temperature limitation.
Keywords:electricity consumption of air conditioner; flexible regulation; set temperature; big data; electricity regulation; demand response