引用本文: | 罗滇生,杜 乾,别少勇,等.基于负荷分解的居民差异化用电行为特性分析[J].电力系统保护与控制,2016,44(21):29-33.[点击复制] |
LUO Diansheng,DU Qian,BIE Shaoyong,et al.Analysis of differentiation residential electricity consumption characteristic based on power load decomposition[J].Power System Protection and Control,2016,44(21):29-33[点击复制] |
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摘要: |
针对智能电网建设过程中需要准确掌握居民用电特性的要求,将居民负荷分解为基本负荷和季节性负荷。基于自适应模糊c均值算法,分别对居民日基本负荷和夏季降温设备日负荷进行聚类分析。根据分类结果进行负荷特性分析,并在此基础上提出一种用户分类的方法,实现对居民用电行为特性的差异化分析。实验结果表明,基于该分类方法能够准确地描述用户用电行为特性,为需求响应如峰时电价制定、错峰管理、负荷调控等提供了有效的数据支撑。 |
关键词: 多维度 聚类分析 用户分类 用电特性 负荷分解 |
DOI:10.7667/PSPC151908 |
投稿时间:2015-10-29修订日期:2015-11-29 |
基金项目:国家自然科学基金项目(51277057) |
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Analysis of differentiation residential electricity consumption characteristic based on power load decomposition |
LUO Diansheng,DU Qian,BIE Shaoyong,PANG Zhenguo,LI Shengxing |
(College of Electrical and Information Engineering, Hunan University, Changsha 410082, China) |
Abstract: |
In view of the need of accurately grasping the characteristics of residential electricity consumption in the process of the design and construction of smart grid, residential load is decomposed to basic load and cooling load which are classified based on adaptive fuzzy C-means algorithm. Then residential load characteristic is analyzed according to clustering analysis result, based on this, a new classified method is proposed and then the analysis of residential electricity consumption characteristic is realized. The analysis results for residential electricity consumption behavior is accurate and effective based on the new classified method, and thus it may provide support for demand response, such as making electricity price of peak load, power load staggering management, and load control. This work is supported by National Natural Science Foundation of China (No. 51277057). |
Key words: multiple dimensions cluster analysis classification of power customers electricity characteristic load decomposition |