A demand response energy management scheme for industrial facilities in smart grid

IEEE Transactions on Industrial Informatics

Volumn 10, Issue 4, 2014, Pages 2257-2269

  Ding, Yue Min ^a   Hong, Seung Ho ^a   Li, Xiao Hui ^b  

^a Hanyang University   (South Korea)

^b WUHAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Demand response (DR); factory facilities; mixed integer linear programming (MILP); smart grid; state task network (STN)

Indexed keywords

COSTS; ELECTRIC POWER SYSTEMS; ELECTRIC POWER TRANSMISSION NETWORKS; ENERGY MANAGEMENT; ENERGY RESOURCES; INTEGER PROGRAMMING;

DEMAND RESPONSE; DISTRIBUTED ENERGY RESOURCES; ELECTRICITY CONSUMERS; ENERGY MANAGEMENT SCHEMES; MIXED-INTEGER LINEAR PROGRAMMING; SMART GRID; SMART GRID TECHNOLOGIES; STATE TASK NETWORK;

SMART POWER GRIDS;

EID: 84910105945     PISSN: 15513203     EISSN: None     Source Type: Journal    
DOI: 10.1109/TII.2014.2330995     Document Type: Article

References (27)

1. V. C. Gungor, B. Lu, and G. P. Hancke, "Opportunities and challenges of wireless sensor networks in smart grid," IEEE Trans. Ind. Electron., vol. 57, no. 10, pp. 3557-3564, Oct. 2010
2. P. Palensky and D. Dietrich, "Demand side management: Demand response, intelligent energy systems, and smart loads," IEEE Trans. Ind. Informat., vol. 7, no. 3, pp. 381-388, Aug. 2011
3. R. Ma, H. H. Chen, Y. R. Huang, and W. Meng, "Smart grid communication: Its challenges and opportunities," IEEE Trans. Smart Grid, vol. 4, no. 1, pp. 36-46, Mar. 2013
4. S. Li, D. Zhang, A. B. Roget, and Z. O'Neill, "Integrating home energy simulation and dynamic electricity price for demand response study," IEEE Trans. Smart Grid, vol. 5, no. 2, pp. 779-788, Mar. 2014
5. K. H. S. V. S. Nunna and S. Doolla, "Responsive end-user-based demand side management in multimicrogrid environment," IEEE Trans. Ind. Informat., vol. 10, no. 2, pp. 1262-1272, May 2014
6. Z. Chen, L. Wu, and Z. Li, "Electric demand response management for distributed large-scale Internet data centers," IEEE Trans. Smart Grid, vol. 5, no. 2, pp. 651-661, Mar. 2014
7. International Energy Agency, Key World Energy Statistics 2013. Paris, France: International Energy Agency, Oct. 2013.
8. Y. M. Ding and S. H. Hong, "A model of demand response energy management system in industrial facilities," in Proc. IEEE Int. Conf. Smart Grid Commun., Oct. 2013, pp. 241-246
9. E. Kondili, C. C. Pantelidest, and R. W. H. Sargent, "Ageneral algorithmfor short-term scheduling of batch operations-I. MILP formulation," Comput. Chem. Eng., vol. 17, no. 2, pp. 211-227, Feb. 1993
10. T. Samad and S. Kiliccote, "Smart grid technologies and applications for the industrial sector," Comput. Chem. Eng., vol. 47, pp. 76-84, Dec. 2012
11. B. Daryanian, R. E. Boln, and R. D. Tabors, "Optimal demand-side response to electricity spot prices for storage-type customers," IEEE Trans. Power Syst., vol. 4, no. 3, pp. 897-903, Aug. 1989
12. A. T. McKane, "Opportunities, barriers and actions for industrial demand response in California," Lawrence Berkeley National Lab., Berkeley, CA, USA, Tech. Rep. LBNL-1335E, Jan. 2009
13. L. Thompson, "Opportunities for open automated demand response in wastewater treatment facilities in California-Phase II report," Lawrence Berkeley National Lab., Berkeley, CA, USA, Tech. Rep. LBNL-3889E, Sep. 2010
14. A. Lekov, L. Thompson, A. McKane, A. Rockoff, and M. A. Piette, "Opportunities for energy efficiency and automated demand response in industrial refrigerated warehouses in California," Lawrence Berkeley National Lab., Berkeley, CA, USA, Tech. Rep. LBNL-1991E, May 2009
15. G. Ghatikar et al., "Demand response and open automated demand response opportunities for data centers," Lawrence Berkeley National Lab., Berkeley, CA, USA, Tech. Rep. LBNL-3047E, Jan. 2010
16. C. T. Maravelias and I. E. Grossmann, "A new general continuous-time state task network formulation for short-term scheduling of multipurpose batch plants," Ind. Eng. Chem. Res., vol. 42, no. 13, pp. 3056-3074, May 2003
17. P. M. Castro, A. P. F. D. Barbosa-Povoa, and H. Matos, "An improved RTN continuous-time formulation for the short-term scheduling of multipurpose batch plants," Ind. Eng. Chem. Res., vol. 40, no. 9, pp. 2059-2068, Mar. 2001
18. M. H. Agha, R. Thery, G. Hetreux, A. Hait, and J. M. L. Lann, "Integrated production and utility system approach for optimizing industrial unit operations," Energy, vol. 35, no. 2, pp. 611-627, Feb. 2010
19. Y. Wang, P. Zeng, H. Yu, Y. Zhang, and X. Wang, "Energy tree dynamics of smart grid based on industrial internet of things," Int. J. Distrib. Sens. Netw., vol. 2013, 27pp, 2013, article ID 583846
20. S. Mohagheghi and N. Raji, "Managing industrial energy intelligently: Demand response scheme," IEEE Ind. Appl. Mag., vol. 20, no. 2, pp. 53-62, Mar./Apr. 2014
21. S. Mitra, I. E. Grossmann, J. M. Pinto, and N. Arora, "Optimal production planning under time-sensitive electricity prices for continuous powerintensive processes," Comput. Chem. Eng., vol. 38, pp. 171-184, Mar. 2012
22. M. H. Karwan and M. F. Keblis, "Operations planning with real time pricing of a primary input," Comput. Oper. Res., vol. 34, no. 3, pp. 848-867, Mar. 2007
23. P. Pulkkinen and R. Ritala, "TMP production scheduling under uncertainty: Methodology and case studies," Chem. Eng. Process.: Process Intensif., vol. 47, no. 9-10, pp. 1492-1503, Sep. 2008
24. P. M. Castro, I. Harjunkoski, and I. E. Grossmann, "New continuous-time scheduling formulation for continuous plants under variable electricity cost," Ind. Eng. Chem. Res., vol. 48, no. 14, pp. 6701-6714, Jun. 2009
25. P. M. Castro, I. Harjunkoski, and I. E. Grossmann, "Optimal scheduling of continuous plants with energy constraints," Comput. Chem. Eng., vol. 35, no. 2, pp. 372-387, Feb. 2011
26. Y. Li, Y. Su, and L. Shu, "An ARMAX model for forecasting the power output of a grid connected photovoltaic system," Renew. Energy, vol. 66, pp. 78-89, Jun. 2014
27. A. Tascikaraoglu and M. Uzunoglu, "A review of combined approaches for prediction of short-term wind speed and power," Renew. Sustain. Energy Rev., vol. 34, pp. 243-254, Jun. 2014.