智能用电环境下家庭电力能效评估及节能策略研究

项目名称： 智能用电环境下家庭电力能效评估及节能策略研究

项目编号： No.51277023

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 电工技术

项目作者： 曲朝阳

作者单位： 东北电力大学

项目金额： 80万元

中文摘要： 随着智能用电技术发展，智能家居渐入人们日常生活，通过量测控制技术获取大量家庭用电信息已成为可能。如何充分利用这些信息进行能效评估，并有针对性地制订家庭节能方案是电力需求侧管理中亟待解决的问题。本项目的目标是攻克家庭电力能效评估与节能策略中的若干关键技术。首先，基于时段分析建立日负荷曲线按类别分离模型，实现每个电器负荷信息的实时获取；其次，通过数据融合方法对评估所需数据信息进行优化整合，并研究"异常数据"快速剔除方法和多维数据快速存取技术；然后，构建家庭用电能效评估指标体系和评估方法库，运用自适应技术，依据用电设备的具体信息，智能化选择评估方法构建评估模型；最后，提出基于因素对比的节能潜力分析方法，实现个性节能策略的自动编制。本项目的研究将形成较为完善的家庭用电能效评估体系、节能诊断方法，能够有效的指导家庭用户科学、经济、节能地用电，提高智能用电环境下需求侧管理水平。

中文关键词： 智能用电；节能策略；家电负荷分解；家庭电力能效评估；用电行为

英文摘要： Smart power utilization technology is an important part of building a strong and smart grid, the quality of its construction is directly related to grid's energy using efficiency, economic operation and orderly power. Building a smart grid is not just to the upgrade and transform the traditional grid and system, it also need to implement demand-side response, to promote the use of demand-side management technology, to change the user's way of use energy, to promote energy conservation and to improve the proportion of clean electricity in final energy consumption. With the construction and development of smart power utilization, household power utilization information which was collected through demand-side management technology is increasingly abundant. How to do a scientific assessment according to this information and to targetedly formulate a best energy-saving program are the current problems that needed to be solved. The purpose of this project is to resolve a number of key technologies about energy efficiency assessment of household power utilization and energy-saving strategy. First of all, a daily load curve model separated by category based on period analysis is created to get each electrical load information in real-time. Secondly, we fusing the data collected for assessment by Data Fusion methods, as

英文关键词： smart electricity consumption；energy-saving strategy；household appliances load decomposition；household power energy efficiency assessment；power behavior