NDLI: Modelling the aggregate demand response of a population of air conditioners to changes in ambient temperature

Content Provider	IEEE Xplore Digital Library
Author	Mahdavi, Nariman Braslavsky, Julio H. Perfumo, Cristian
Copyright Year	2015
Description	Author affiliation: CSIRO Energy Flagship, PO Box 330, Newcastle 2300, NSW, Australia (Mahdavi, Nariman; Braslavsky, Julio H.; Perfumo, Cristian)
Abstract	A substantial amount of research in recent years has investigated the direct load control (DLC) of populations of air conditioners (ACs) to provide demand-side services in the electricity grid. In many existing approaches, the control of aggregate power demand of these populations requires the knowledge of distributed physical parameters, such as the rated thermal power of the ACs and the thermal capacitances of the air-conditioned spaces. These parameters can be identified from DLC trials on a real-world population. However, such trials typically need to engage participants and fit their ACs with DLC-enabling devices for monitoring and control, which can be costly and may raise privacy concerns. This paper develops an alternative approach that allows the non-intrusive identification of distributed parameters for DLC. The proposed approach is based on a new mathematical model that describes the dynamic aggregate demand response of a population of ACs to changes in ambient temperature, rather than to a control signal. The parameters of the proposed model can then be identified from ambient temperature and aggregate demand data from sufficiently warm days, which are inexpensive to collect and do not need the direct engagement of participants in the target population. A key benefit of the new model is that its identified parameters also fit a previously developed dynamic model for DLC of aggregate demand of ACs, which completes a practical solution to model-based feedback control design for DLC in such populations.
Starting Page	3248
Ending Page	3253
File Size	305985
Page Count	6
File Format	PDF
e-ISBN	9781479978861
DOI	10.1109/CDC.2015.7402707
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-15
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sociology Statistics Aggregates Mathematical model Load management Thermal resistance Temperature control
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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