| 引用本文: | 王守相,孙智卿,孔繁钢,秦俊宁,常建平.面向需求响应的建筑用能在线分解方法[J].电力自动化设备,2017,37(3): |
| WANG Shouxiang,SUN Zhiqing,KONG Fangang,QIN Junning,CHANG Jianping.Online building energy disaggregation orienting to demand response[J].Electric Power Automation Equipment,2017,37(3): |
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| 摘要: |
| 建筑负荷参与需求响应的潜力巨大，但限于目前的能耗监测技术而无法大范围应用。通过分析建筑能耗分项计量的特性，提出了面向需求响应的建筑用能分解方法。基于建筑负荷工作时电流、功率、分相等特征差异，从多个公共建筑和住宅建筑的电力公共数据集中，提取了建筑负荷的三重能效特征，包括功率能效特征、暂态能效特征和稳态能效特征，并形成建筑负荷特征数据库。通过信息筛选、三重特征匹配和比较修正，对建筑负荷进行辨识，实现了建筑负荷的在线分解。在公共建筑的实际验证中，将分解结果与既有的分项计量数据比对，表明该方法对需求响应资源有较高的辨识精度，能够满足建筑级需求响应的能耗监测要求。 |
| 关键词: 公共建筑 需求响应 用能分解 负荷辨识 负荷管理 |
| DOI：10.16081/j.issn.1006-6047.2017.03.001 |
| 分类号: |
| 基金项目:天津市应用基础与前沿技术研究计划资助项目(14JCY-BJC21100)；国家电网公司科技项目(5211JN140001) |
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| Online building energy disaggregation orienting to demand response |
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WANG Shouxiang1, SUN Zhiqing1, KONG Fangang2, QIN Junning2, CHANG Jianping3
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1.Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China;2.State Grid Zhejiang Electric Power Company, Hangzhou 310007, China;3.State Grid Energy Service Company, Beijing 100052, China
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| Abstract: |
| Though the participation of building loads in DR (Demand Response) has great potential, they are not widely applied due to the limitation of current energy consumption monitoring technologies. The metering features of itemized building energy consumption are analyzed and a DR-oriented method of online building energy disaggregation is proposed. According to the characteristic differences between building loads in current, power and phase, the power, transient and steady-state energy-efficiency signatures of building loads are extracted from the public NILM datasets of multiple commercial and residential buildings, based on which, a signature database of building loads is formed. By information filtering, triple signature matching and result modification, the building loads are identified and then online disaggregated. The energy disaggregation results of an actual verification for a commercial building are compared with its existing metering data, which shows that, the proposed method has higher accuracy of demand response resource identification and satisfies the requirements of building-level DR for the energy consumption monitoring. |
| Key words: public building demand response energy disaggregation load identification electric load management |
