Smart meter data-driven evaluation of operational demand response potential of residential air conditioning loads

2020 ◽  
Vol 279 ◽  
pp. 115708
Author(s):  
Ning Qi ◽  
Lin Cheng ◽  
Helin Xu ◽  
Kuihua Wu ◽  
XuLiang Li ◽  
...  
Keyword(s):  
Demand Response ◽  
Air Conditioning ◽  
Data Driven ◽  
Smart Meter ◽  
Residential Air Conditioning

Data Driven Electricity Management for Residential Air Conditioning Systems: An Experimental Approach

2019 ◽  
Vol 7 (3) ◽  
pp. 380-391 ◽  
Author(s):  
Wen-Tai Li ◽  
Sai Ram Gubba ◽  
Wayes Tushar ◽  
Chau Yuen ◽  
Naveed Ul Hassan ◽  
...  
Keyword(s):  
Air Conditioning ◽  
Experimental Approach ◽  
Data Driven ◽  
Residential Air Conditioning ◽  
Air Conditioning Systems

Emergent Behavior in a Population of Thermostatically Controlled Loads With Peer-to-Peer Communication

2019 ◽  
Author(s):  
Ryan Schwartz ◽  
John F. Gardner
Keyword(s):  
Demand Response ◽  
Air Conditioning ◽  
Large Scale ◽  
Large Population ◽  
Agent Based Modeling ◽  
Emergent Behavior ◽  
Peer Communication ◽  
Agent Based ◽  
Thermostatically Controlled Loads ◽  
Residential Air Conditioning

Abstract Thermostatically controlled loads (TCLs) are often considered as a possible resource for demand response (DR) events. However, it is well understood that coordinated control of a large population of previously un-coordinated TCLs may result in load synchronization that results in higher peaks and large uncontrolled swings in aggregate load. In this paper we use agent based modeling to simulate a number of residential air conditioning loads and allow each to communicate a limited amount of information with their nearest neighbors. As a result, we document emergent behavior of this large scale, distributed and nonlinear system. Using the techniques described here, the population of TCLs experienced up to a 30% reduction in peak demand following the DR event. This behavior is shown to be beneficial to the goals of balancing the grid and integrating increasing penetration of variable generators.

Demand response potential evaluation for residential air conditioning loads

2018 ◽  
Vol 12 (19) ◽  
pp. 4260-4268 ◽  
Author(s):  
Xingying Chen ◽  
Jixiang Wang ◽  
Jun Xie ◽  
Shuyang Xu ◽  
Kun Yu ◽  
...  
Keyword(s):  
Demand Response ◽  
Air Conditioning ◽  
Potential Evaluation ◽  
Residential Air Conditioning

Nonintrusive disaggregation of residential air-conditioning loads from sub-hourly smart meter data

2014 ◽  
Vol 81 ◽  
pp. 316-325 ◽  
Author(s):  
Krystian X. Perez ◽  
Wesley J. Cole ◽  
Joshua D. Rhodes ◽  
Abigail Ondeck ◽  
Michael Webber ◽  
...  
Keyword(s):  
Air Conditioning ◽  
Smart Meter ◽  
Residential Air Conditioning
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