Typification of load curves for DSM in Brazil for a smart grid environment

被引：31

作者：

Macedo, Maria N. Q. ^{[1
]}

Galo, Joaquim J. M. ^{[1
]}

Almeida, Luiz A. L. ^{[1
]}

Lima, Antonio C. C. ^{[1
]}

机构：

[1] Univ Fed Bahia, Fed Inst Bahia, Dept Ind Engn, Salvador, BA, Brazil

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2015年 / 67卷

关键词：

Smart grid; Demand side management; Load curve; DEMAND-SIDE MANAGEMENT; ENERGY;

D O I：

10.1016/j.ijepes.2014.11.029

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];

摘要：

The deployment of a smart grid environment is a worldwide trend and generates of a large volume of data. The load curve for each consumer in real time is an example of this. The challenge is the transformation of these data into useful information that may help to improve efficiency in the management, planning and operation of the power grid. The implementation of demand side management (DSM) requires an analysis of the data generated in a smart grid environment to determine which policies are most appropriate for each type of consumer. Because of the large number of customers, the application of these policies involves the selection of patterns for the load curve. This study discusses the use of DSM in a smart grid environment in Brazil and presents the simulation for creating load curve patterns using the k-means technique from the consumer data of a concessionaire for the Brazilian electric system. The result obtained in this research is the creation of the load curve patterns for selecting the policies of DSM. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：216 / 221

页数：6

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