Identification of Residential Load Profile in the Smart Grid Context

被引：0
作者：
Fernandes, R. A. S. [1 ]
Silva, I. N. [1 ]
Oleskovicz, M. [1 ]
机构：
[1] USP EESC SEL, Dept Elect Engn, BR-13566590 Sao Carlos, SP, Brazil
来源：
IEEE POWER AND ENERGY SOCIETY GENERAL MEETING 2010 | 2010年
关键词：
Artificial neural networks; harmonic components; residential loads profile; smart grid;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This work presents an automatic method for identification of residential load profile in the Smart Grid context. Hence, in this research were used client/server software interfaces to transmit and receive data through the Internet. In this case, the residential consumers and utility were represented by client and server software, respectively. However, to consider all the stages of this method, a database was created to store fictitious data related to consumer measurements. From these data, the utility software was able to furnish information about consumer's load profile and use this information to make decisions. The results were obtained using an experimental workbench that contains residential loads, a configurable power supply and an energy analyzer. It is show in an experimental way some benefits that can be achieved with the introduction of Smart Grid concept on distribution systems.
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页数：6
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