DocumentCode
1946433
Title
Demand-side management of air conditioning cooling loads for intra-hour load balancing
Author
Yu Zhang ; Ning Lu
Author_Institution
Energy Sci. & Technol. Div., Pacific Northwest Nat. Lab., Richland, WA, USA
fYear
2013
fDate
24-27 Feb. 2013
Firstpage
1
Lastpage
6
Abstract
This paper evaluates the performance of a centralized load controller designed to provide intra-hour load balancing services (LBSs) using air conditioning (a/c) units in their cooling modes. First, thermal models of a/c units and the control logic of the central controller are presented. The objective is to control the aggregated consumption of the thermostatically controlled appliances (TCAs) to follow a desired load profile for providing LBSs. The simulations are carried out in a MATLAB/Simulink environment. A total of 1000 a/c units in their cooling modes are modeled to provide a realistic ±1 MW load balancing signal for 24 hours for baseline settings. The impacts of lockout times, ambient temperatures, heat gains, and two-way communication delays on the demand-side management (DSM) performance are modeled. The cost of communication between the TCAs and the central controller, customer comfort, device life cycles, and control errors are used as metrics to evaluate the DSM performance. The results demonstrate that the DSM controller precisely controls the aggregated heating, ventilating, and air conditioning load shapes while maintaining load diversity. The controllable and the measurable load services that the controller provides can be used for many other demand response applications, such as peak shaving, load shifting, and arbitrage.
Keywords
air conditioning; cooling; demand side management; load regulation; MATLAB-imulink environment; TCA; aggregated heating; air conditioning cooling loads; ambient temperatures; centralized load controller; control error; control logic; cooling modes; customer comfort; demand side management; device life cycles; heat gain; intra-hour load balancing services; load diversity; load profile; load shifting; lockout times; peak shaving; thermal models; thermostatically controlled appliances; time 24 hour; two-way communication delays; Atmospheric modeling; Delays; Load management; Load modeling; Mathematical model; Temperature control; Temperature measurement; ancillary service; demand response; direct load control; load management; optimal parameter selection; renewable integration; smart grid; thermostatically controlled appliances;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Smart Grid Technologies (ISGT), 2013 IEEE PES
Conference_Location
Washington, DC
Print_ISBN
978-1-4673-4894-2
Electronic_ISBN
978-1-4673-4895-9
Type
conf
DOI
10.1109/ISGT.2013.6497905
Filename
6497905
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