Power Admission Control with Predictive Thermal Management in Smart Buildings

IEEE Transactions on Industrial Electronics

Volumn 62, Issue 4, 2015, Pages 2642-2650

  Yao, Jianguo ^a   Costanzo, Giuseppe Tommaso ^b   Zhu, Guchuan ^c   Wen, Bin ^d  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^c ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

^d NATIONAL DIGITAL SWITCHING SYSTEM ENGINEERING AND TECHNOLOGICAL RESEARCH CENTER   (China)

Author keywords

budget schedulability; demand response; model predictive control (MPC); Smart buildings; Smart Grid

Indexed keywords

BUDGET CONTROL; CHANNEL CAPACITY; CONSTRAINED OPTIMIZATION; INTELLIGENT BUILDINGS; LINEAR PROGRAMMING; OFFICE BUILDINGS; PREDICTIVE CONTROL SYSTEMS; SCHEDULING; TEMPERATURE CONTROL; THERMAL COMFORT; THERMAL VARIABLES CONTROL;

COOPERATIVE OPERATION; DEMAND RESPONSE; LINEAR PROGRAMMING PROBLEM; OPTIMAL SCHEDULING; SCHEDULABILITY; SCHEDULABILITY ANALYSIS; SMART GRID; TECHNICAL UNIVERSITIES;

MODEL PREDICTIVE CONTROL;

EID: 84924912354     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2014.2387091     Document Type: Article

References (36)

1. World Business Council for Sustainable Development, "Transforming the market: Energy efficiency in the buildings," Geneva, Switzerland, Jun. 2009.
2. "Buildings consume more energy than any other sector," [Online]. Available: http://architecture2030.org/the-problem/problem-energy
3. TRFund Study, "Understanding PECOs general service tariff," 2007. [Online]. Available: http://www.trfund.com/financing/energy/energy.html
4. G. Zhabelova, V. Vyatkin, and V. Dubinin, "Towards industrially usable agent technology for smart grid automation," IEEE Trans. Ind. Electron., vol. 62, no. 4, pp. 2629-2641, Apr. 2015.
5. J. H. Yoon, R. Baldick, and A. Novoselac, "Dynamic demand response controller based on real-time retail price for residential buildings," IEEE Trans. Smart Grid, vol. 5, no. 1, pp. 121-129, Jan. 2014.
6. M. Ruta, F. Scioscia, G. Loseto, and E. Di Sciascio, "Semantic-based resource discovery and orchestration in home and building automation: A multi-agent approach," IEEE Trans. Ind. Informat., vol. 10, no. 1, pp. 730-741, Feb. 2014.
7. C. Fan, F. Xiao, and S. Wang, "Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques," Appl. Energy, vol. 127, pp. 1-10, Aug. 2014.
8. Y. Ma, F. Borrelli, B. Hencey, A. Packard, and S. Bortoff, "Model predictive control of thermal energy storage in building cooling systems," in Proc. IEEE CDC, 2009, pp. 392-397.
9. R. Halvgaard, N. Poulsen, H. Madsen, and J. Jorgensen, "Economic model predictive control for building climate control in a smart grid," in Proc. IEEE ISGT, 2012, pp. 1-6.
10. M. Avci, M. Erkoc, A. Rahmani, and S. Asfour, "Model predictive HVAC load control in buildings using real-time electricity pricing," Energy Buildings, vol. 60, pp. 199-209, May 2013.
11. P.-D. Morosan, R. Bourdais, D. Dumur, and J. Buisson, "Distributed model predictive control based on benders' decomposition applied to multisource multizone building temperature regulation," in Proc. IEEE CDC, 2010, pp. 3914-3919.
12. F. Oldewurtel, A. Ulbig, A. Parisio, G. Andersson, and M. Morari, "Reducing peak electricity demand in building climate control using realtime pricing and model predictive control," in Proc. IEEE CDC, 2010, pp. 1927-1932.
13. K. Lee and J. E. Braun, "Model-based demand-limiting control of building thermal mass," Building Environ., vol. 43, no. 10, pp. 1633-1646, Oct. 2008.
14. T. Nghiem, M. Behl, R. Mangharam, and G. Pappas, "Green scheduling of control systems for peak demand reduction," in Proc. IEEE CDC-ECC, 2011, pp. 5131-5136.
15. T. Nghiem, M. Behl, R. Mangharam, and G. Pappas, "Scalable scheduling of building control systems for peak demand reduction," in Proc. IEEE ACC, 2012, pp. 3050-3055.
16. F. De Angelis et al., "Optimal home energy management under dynamic electrical and thermal constraints," IEEE Trans. Ind. Informat., vol. 9, no. 3, pp. 1518-1527, Aug. 2013.
17. C. Molitor et al., "Multiphysics test bed for renewable energy systems in smart homes," IEEE Trans. Ind. Electron., vol. 60, no. 3, pp. 1235-1248, Mar. 2013.
18. T. Facchinetti and M. Della Vedova, "Real-time modeling for direct load control in cyber-physical power systems," IEEE Trans. Ind. Informat., vol. 7, no. 4, pp. 689-698, Nov. 2011.
19. P. Palensky and D. Dietrich, "Demand side management: Demand response, intelligent energy systems, smart loads," IEEE Trans. Ind. Informat., vol. 7, no. 3, pp. 381-388, Aug. 2011.
20. G. Costanzo et al., "An experimental study on load-peak shaving in smart homes by means of online admission control," in Proc. IEEE ISGT Europe, 2012, pp. 1-8.
21. G. Costanzo, G. Zhu, M. Anjos, and G. Savard, "A system architecture for autonomous demand side load management in smart buildings," IEEE Trans. Smart Grid, vol. 3, no. 4, pp. 2157-2165, Dec. 2012.
22. M. Tasdighi, H. Ghasemi, and A. Rahimi-Kian, "Residential microgrid scheduling based on smart meters data and temperature dependent thermal load modeling," IEEE Trans. Smart Grid, vol. 5, no. 1, pp. 349-357, Jan. 2014.
23. C. Adika and L. Wang, "Autonomous appliance scheduling for household energy management," IEEE Trans. Smart Grid, vol. 5, no. 2, pp. 673-682, Mar. 2014.
24. P. Bacher and H. Madsen, "Identifying suitable models for the heat dynamics of buildings," Energy Buildings, vol. 43, no. 7, pp. 1511-1522, Jul. 2011.
25. D. E. M. Bondy and J. Parvizi, "Modeling, identification and control for heat dynamics of buildings using robust economic model predictive control," Master's thesis, Technical Univ. Denmark, Kgs. Lyngby, Denmark, 2012.
26. T. Nghiem, M. Behl, G. Pappas, and R. Mangharam, "Green scheduling for radiant systems in buildings," in Proc. IEEE CDC, 2012, pp. 7577-7582.
27. S. Boyd and L. Vandenberghe, Convex Optimization. New York, NY, USA: Cambridge Univ. Press, 2009.
28. C. S. Lim, N. Rahim, W. P. Hew, and E. Levi, "Model predictive control of a two-motor drive with five-leg-inverter supply," IEEE Trans. Ind. Electron., vol. 60, no. 1, pp. 54-65, Jan. 2013.
29. T. Geng, "Online regulation of the walking speed of a planar limit cycle walker via model predictive control," IEEE Trans. Ind. Electron., vol. 61, no. 5, pp. 2326-2333, May 2014.
30. S. Chai, L. Wang, and E. Rogers, "A cascade MPC control structure for a PMSM with speed ripple minimization," IEEE Trans. Ind. Electron., vol. 60, no. 8, pp. 2978-2987, Aug. 2013.
31. D. Mayne, J. Rawlings, C. Rao, and P. Scokaert, "Constrained model predictive control: Stability and optimality," Automatica, vol. 36, no. 6, pp. 789-814, Jun. 2000.
32. J. Yao, X. Liu, and C. Zhang, "Predictive electricity cost minimization through energy buffering in data centers," IEEE Trans. Smart Grid, vol. 5, no. 1, pp. 230-238, Jan. 2014.
33. P. Lubina and M. B. Nantka, "Internal heat gains in relation to the dynamic of buildings heat requirements," Archit. Civil Eng. Environ., no. 1, pp. 137-142, 2009.
34. U. Maeder, F. Borrelli, and M. Morari, "Linear offset-free model predictive control," Automatica, vol. 45, no. 10, pp. 2214-2222, Oct. 2009.
35. J. Lofberg, "YALMIP: A toolbox for modeling and optimization in MATLAB," in Proc. IEEE CACSD, 2004, pp. 284-289.
36. P. Gahinet, A. Nemirovski, A. J. Laub, and M. Chilali, MATLAB LMI Control Toolbox. Natick, MA, USA: The MathWorks Inc., 1995.