A load control method for small data centers participating in demand response programs

2014 ◽  
Vol 32 ◽  
pp. 232-245 ◽  
Author(s):  
C.-J. Tang ◽  
M.-R. Dai ◽  
C.-C. Chuang ◽  
Y.-S. Chiu ◽  
W.S. Lin
Keyword(s):  
Demand Response ◽  
Data Centers ◽  
Control Method ◽  
Load Control ◽  
Small Data ◽  
Demand Response Programs

Improving energy efficiency in colocation data centers for demand response

2021 ◽  
Vol 29 ◽  
pp. 100476
Author(s):  
Ce Chi ◽  
Fa Zhang ◽  
Kaixuan Ji ◽  
Avinab Marahatta ◽  
Zhiyong Liu
Keyword(s):  
Energy Efficiency ◽  
Demand Response ◽  
Data Centers

scholarly journals Model-Based and Data-Driven HVAC Control Strategies for Residential Demand Response

2021 ◽  
pp. 1-1
Author(s):  
Xiao Kou ◽  
Yan Du ◽  
Fangxing Li ◽  
Hector Pulgar-Painemal ◽  
Helia Zandi ◽  
...  
Keyword(s):  
Demand Response ◽  
Control Strategies ◽  
Data Driven ◽  
Model Based ◽  
Hvac Control ◽  
Residential Demand

Design of a hybrid hierarchical demand response control scheme for the frequency control

2015 ◽  
Vol 9 (15) ◽  
pp. 2303-2310 ◽  
Author(s):  
Yu-Qing Bao ◽  
Yang Li ◽  
Beibei Wang ◽  
Ying-Yi Hong
Keyword(s):  
Demand Response ◽  
Frequency Control ◽  
Response Control ◽  
Control Scheme

scholarly journals A Multi-Communication-Based Demand Response Implementation Structure and Control Strategy

2019 ◽  
Vol 9 (16) ◽  
pp. 3218 ◽  
Author(s):  
Qi Wang ◽  
Hongru Wang ◽  
Lei Zhu ◽  
Xingquan Wu ◽  
Yi Tang
Keyword(s):  
Power System ◽  
Demand Response ◽  
System Architecture ◽  
Control Strategies ◽  
Communication Technologies ◽  
Terminal Design ◽  
Hardware In Loop ◽  
And Control ◽  
Scale Control ◽  
Multi Agents

Demand response (DR) is widely accepted as a feasible and potential solution to improve the operation of the power system. In this paper, an economical and practical DR system architecture based on internet and Internet of things (IoT) communication technologies is discussed to achieve wide-area DR control without using an expensive metering infrastructure. Multi agents are introduced with respective control strategies to implement multi-time-scale control in a power system. In order to support quick DR strategies, a novel smart terminal design for the proposed DR system is described with functions of local parameter detection and action. The practicality of the proposed system was validated on a developed hardware-in-loop co-simulation platform.

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