| 引用本文: | 郑小霞,刘庆强,林顺富,等.面向非干预式负荷监测的居民负荷微观特性研究[J].电力系统保护与控制,2014,42(10):62-70.[点击复制] |
| ZHENG Xiao-xia,LIU Qing-qiang,LIN Shun-fu,et al.Research of the microscopic signatures of residential loads for NILM[J].Power System Protection and Control,2014,42(10):62-70[点击复制] |
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| 摘要: |
| 非干预式负荷监测技术是未来负荷监测的重要发展方向，基于此技术开发创新性服务产品需要对非干预式负荷监测技术应用基础展开详细研究。建立了非干预式负荷监测应用体系；提出体系中负荷识别算法的实现原理；由于负荷特性研究是非干预式负荷监测的基础，各类创新性服务产品的开发必须以负荷特性研究为基础。对居民负荷的微观特性进行深入研究，基于实测波形提取了典型电器的多个微观特征参数，如波峰系数、瞬时功率峰值和有效值、V-I特性曲线面积及中心线斜率等，并提出了各负荷特性特征值的计算方法。该成果为后续的基于非干预式负荷监测的用电可 |
| 关键词: 非干预式负荷监测 居民负荷 负荷识别 负荷特性 用电可视化 |
| DOI：10.7667/j.issn.1674-3415.2014.10.010 |
| 投稿时间：2013-06-23修订日期：2013-08-12 |
| 基金项目:国家自然科学基金（51207088）；上海市重点实验室电站自动化技术实验室（04DZ05901）；上海电力学院科研基金（Z-2012-045） |
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| Research of the microscopic signatures of residential loads for NILM |
| ZHENG Xiao-xia,LIU Qing-qiang,LIN Shun-fu,LI Dong-dong,ZHANG Ming |
| (College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China) |
| Abstract: |
| Nonintrusive load monitoring (NILM) is an important development direction of the future load monitoring, the development of innovative service product based on NILM needs to carry out a detailed study on application base of NILM. First, the application system of NILM is established; second, the realization principle of identification algorithm in system is proposed. The study of load signatures is the foundation of NILM, the development of all kinds of innovative service product must be based on the load signature research. At last, this paper conducts the research on the microscopic signatures of the typical residential loads and builds their electrical modeling. Several microscopic signature values are extracted from measured current waveforms, such as crest factor, peak and rms values of transient power, area and slop factor of V-?I curve, etc, and the calculation method of the load signature values is proposed. Research work and achievement lay the foundation for subsequent electricity visualization research based on NILM. |
| Key words: nonintrusive load monitoring residential load load identification load signature power consumption visualization |
