基于非侵入式技术的空气源热泵负荷识别与分解

ASHP load identification and decomposition based on NILM technology

非侵入式电力负荷监测技术具有成本低、安装简便等优点,可以有效解决电采暖负荷数据难以获取的问题。文中提出了一种基于负荷事件检测的非侵入式空气源热泵负荷指纹提取方案,获取关键参数ΔT和ΔP,定义三种过渡事件类型作为判据,判定空气源热泵启停状态;提出了实用化的负荷指纹模板库自动生成方法,事件样本达到预设数量后聚类为负荷的指纹模板库,从而实现负荷辨识和电量计算。与传感器实测煤改电用户负荷结果对比,该方法可准确辨识出空气源热泵启停次数,电量归集精度大于84%,形成的空气源热泵指纹模板库唯一性较好。

Non-intrusive load monitoring technique could help air source heat pump(ASHP)load data collection for its benefits of lower cost and easier installation.This paper proposed a load dactylogram extracting method of ASHP based on load event monitoring.By capturing transit events,the key parametersΔT andΔP are obtained,according to which ASHP starting state is recognized.A practical method of automatic generation of load dactylogram is proposed through adaptive learning,the load dactylogram library is formed by clustering identified load events.Accordingly,ASHP load can be identified and its electric quantity can be calculated.Compared with the load results of coal-to-power users measured by sensor,the running result shows that the start-stop-times of ASHP are correct and the accuracy of power consumption is above 84%,and the dactylogram template library of ASHP is more unique.