Applicability Analysis and Prospect of DDS in Automated Demand Response System

被引:0
|
作者
Li B. [1 ]
Ye Y. [1 ]
Qi B. [1 ]
Zhang J. [2 ]
Li D. [2 ]
Yang B. [3 ]
Xi P. [4 ]
机构
[1] School of Electrical and Electronic Engineering, North China Electric Power University, Changping District, Beijing
[2] China Electric Power Research Institute, Haidian District, Beijing
[3] State Grid Jiangsu Electric Power Company, Nanjing, 210024, Jiangsu Province
[4] Shanghai Key Laboratory of Smart Grid Demand Response (Shanghai Electrical Apparatus Research Institute (Group) Co., Ltd. ), Putuo District, Shanghai
来源
关键词
Automated demand response system; Data distribution service; Plug and play; QoS policy;
D O I
10.13335/j.1000-3673.pst.2019.0500
中图分类号
学科分类号
摘要
With the gradual liberalization of the electricity sale market, the business development of Demand Response has attracted much attention. In the process of energy interconnection with the large quantities of distributed demand side resources such as distributed power supply, electric vehicles, distributed energy storage, electric heating boilers and so on, there are some problems concerning inconsistent communications protocols, inconsistent communications interfaces, low interconnection and intercommunication capability of diversified systems / equipment, etc. With the deepening of the source network load project, the control mode of DR resources is gradually becoming diversified. Then new requirements are put forward for the underlying bearer protocols so that the existing simple interoperability protocol adaptation methods cannot meet the differentiated QoS requirements of the data transmission. In view of the above problems, this paper analyzes the characteristics of DDS (data distribution service) technology and the applicability of its application in the automated demand response service system. Combined with the technical characteristics of DDS, the application assumption of DDS in the automated demand response system is put forward from the aspects of the system integration architecture, the information exchange mode, the data model adaptation, etc. © 2020, Power System Technology Press. All right reserved.
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页码:1922 / 1930
页数:8
相关论文
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