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Lighting systems control for demand response | IEEE Conference Publication | IEEE Xplore

Lighting systems control for demand response


Abstract:

Lighting is a major part of energy consumption in buildings. Lighting systems will thus be one of the important component systems of a smart grid for dynamic load managem...Show More

Abstract:

Lighting is a major part of energy consumption in buildings. Lighting systems will thus be one of the important component systems of a smart grid for dynamic load management services like demand response. We consider the problem of control of multiple lighting systems in a building for providing demand response service. In the scenario considered in this paper, under a demand response request, lighting systems in a building react by executing dimming control to reduce power consumption based on their load shedding flexibilities. Load shedding flexibility reflects the amount of power reduction that can be achieved by an individual controller without violating minimum illumination requirements of occupants in that area. We consider different methods for distributing load reduction across the multiple lighting system controllers employing their respective load shedding flexibilities. The performance of the methods is compared with a scheme where uniform dimming is applied across the lighting systems.
Date of Conference: 16-20 January 2012
Date Added to IEEE Xplore: 03 April 2012
ISBN Information:
Conference Location: Washington, DC
References is not available for this document.

I. Introduction

Electrical power infrastructure is undergoing major changes driven by regulatory efforts towards reducing energy consumption and by the availability of relevant technologies. The resulting smart grid [1] is envisioned to have connected loads, generation facilities and renewable energy sources tied together by communication and control means. Dynamic load management in order to match electricity generation and transmission/usage in such a smart grid becomes increasingly relevant and challenging [2]. Load management techniques like demand response have been found to significantly contribute to peak load reduction [3], [4]. In this paper, we consider demand response achieved via control of lighting systems in buildings.

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1.
A. Ipakchi and F. Albuyeh, "Grid of the Future", IEEE Power and Energy Magazine, vol. 7, pp 52-62, 2010.
2.
F. Rahimi and A. Ipakchi, "Demand Response as a Market Resource under the Smart Grid Paradigm", IEEE Transactions on Smart Grid, vol. 1, pp 82-88, 2010.
3.
Federal Energy Regulatory Commission, "2010 Assessment of Demand Response and Advanced Metering", Staff Report, February 2011.
4.
J. Wang, M. A. Biviji and W. M. Wang, "Lessons learned from smart grid enabled pricing programs," IEEE Power and Energy Conference at Illinois (PECI), 2011.
5.
Energy Information Administration, "Commercial Buildings Energy Consumption Survey," 2003, www.eia.doe.gov/emeu/cbecs/cbecs2003/lighting/ pdf/lighting print.pdf
6.
F. Rubinstein and S. Killicote, "Demand Responsive Lighting: A Scoping Study", Lawrence Berkeley National Laboratory, Report LBNL-62226, Jan. 2007.
7.
Public Interest Energy Research (PIER), "Energy efficient load shedding technology," Project 3.2 Technical Report, www.archenergy.com/lrp/ final-reports/LRP-FR-Attachments/A6-deliverable 3.2.10 Load-shed FINAL-RPT. pdf.
8.
D. Veskovic, C. J. Rigatti and A. Cash, "Method of load shedding to reduce the total power consumption of a load control system," Patent Application US 2010/0117620.
9.
Jack L. Lindsey, Applied Illumination Engineering, 2nd edition, Prentice-Hall, 1997.
10.
Peter R. Boyce, Human Factors in Lighting, 2nd edition, Taylor & Francis, 2003.
11.
P. E. Gill, W. Murray, M. A. Saunders, and M. H. Wright, "Procedures for Optimization Problems with a Mixture of Bounds and General Linear Constraints", ACM Trans. Math. Software, vol. 10, pp 282-298, 1984.
12.
L. Xiao, S. Boyd, and S.-J. Kim, "Distributed Average Consensus with Least-Mean-Square Deviation," Journal of Parallel and Distributed Computing, 67(1), 33-46, 2007. (Pubitemid 44828440)
13.
W. Parys, D. Saelens and H. Hens, "Implementing realistic occupant behavior in building energy simulations - the effect on the results of an optimization in office buildings", REHVA World Congress "Sustainable Energy use in Buildings", 2010.
14.
F. Kelly, "Charging and rate control for electric traffic", European Transactions on Telecommunications, 8(1), pp 33-37, Jan. 1997.
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References

References is not available for this document.