Short-term operation scheduling in renewable-powered microgrids: A duality-based approach

IEEE Transactions on Sustainable Energy

Volumn 5, Issue 1, 2014, Pages 209-217

  Zhao, Binyan ^a   Shi, Yi ^a   Dong, Xiaodai ^a   Luan, Wenpeng ^b   Bornemann, Jens ^a  

^a UNIVERSITY OF VICTORIA   (Canada)

^b STATE GRID CORPORATION OF CHINA   (China)

Author keywords

Distributed generators; Duality; Economic dispatch; Microgrid; Renewable energy resources; Unit commitment (UC)

Indexed keywords

DISTRIBUTED GENERATORS; DUALITY; ECONOMIC DISPATCH; MICRO GRID; UNIT COMMITMENT;

CONVEX OPTIMIZATION; DISTRIBUTED POWER GENERATION; OPTIMIZATION; PROBABILITY; SCHEDULING;

RENEWABLE ENERGY RESOURCES;

EID: 84890912790     PISSN: 19493029     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSTE.2013.2279837     Document Type: Article

References (37)

1. V. C. Güngör, D. Sahin, T. Kocak, S. Ergüt, C. Buccella, C. Cecati, and G. P. Hancke, "Smart grid technologies: Communications technologies and standards," IEEE Trans. Ind. Inform., vol. 7, no. 4, pp. 529-539, Nov. 2011.
2. A. K. Basu, S. Chowdhury, and S. Paul, "Microgrids: Energy management by strategic deployment of DERs-A comprehensive survey," Renew. Sustain. Energy Rev., vol. 15, no. 9, pp. 4348-4356, Dec. 2011.
3. A. Cohen and V. Sherkat, "Optimization-based methods for operations scheduling," Proc. IEEE, vol. 75, no. 12, pp. 1574-1591, Dec. 1987.
4. N. Padhy, "Unit commitment-A bibliographical survey," IEEE Trans. Power Syst., vol. 19, no. 2, pp. 1196-1205, May 2004.
5. S. A. Pourmousavi, M. H. Nehrir, C. M. Colson, and C. Wang, "Real-time energy management of a stand-alone hybrid wind-microturbine energy system using particle swarm optimization," IEEE Trans. Sustain. Energy, vol. 1, no. 3, pp. 193-201, Oct. 2011.
6. R. Yinger, "Behavior of Capstone and Honeywell microturbine generators during load changes," California Energy Commission, Tech. Rep. P500- 04-021, 2001.
7. C. Hernandez-Aramburo, T. Green, and N. Mugniot, "Fuel consumption minimization of a microgrid," IEEE Trans. Ind. Appl., vol. 41, no. 3, pp. 673-681, May 2005. (Pubitemid 40843697)
8. C. Chen, S. Duan, T. Cai, B. Liu, and G. Hu, "Smart energy management system for optimal microgrid economic operation," IET Renew. Power Gen., vol. 5, no. 3, pp. 258-267, May 2011.
9. T. Logenthiran and D. Srinivasan, "Short term generation scheduling of a microgrid," in Proc. IEEE TENCON, Singapore, Nov. 2009, pp. 1-6.
10. M. R. Alrashidi and M. E. El-Hawary, "Impact of loading conditions on the emission-economic dispatch," World Academy of Science, Eng. and Technol., vol. 15, no. 29, pp. 148-151, Mar. 2008.
11. R. Brown, S. Gupta, R. Christie, S. Venkata, and R. Fletcher, "Automated primary distribution system design: Reliability and cost optimization," in Proc. IEEE Transmission and Distribution Conf., Los Angeles, CA, USA, Nov. 1996.
12. S. Jonnavithula and R. Billinton, "Minimum cost analysis of feeder routing in distribution system planning," IEEE Trans. Power Del., vol. 11, no. 4, pp. 1935-1940, Oct. 1996. (Pubitemid 126772930)
13. Y. Tang, "Power distribution system planning with reliability modeling and optimization," IEEE Trans. Power Syst., vol. 11, no. 1, pp. 181-189, Feb. 1996.
14. S. Chen, H. Gooi, and M. Wang, "Sizing of energy storage for microgrids," IEEE Trans. Smart Grid, vol. 3, no. 1, pp. 142-151, Mar. 2012.
15. A. Abdollahi, M. P. Moghaddam, M. Rashidinejad, and M. K. Sheikh-El- Eslami, "Investigation of economic and environmental-driven demand response measures incorporating UC," IEEE Trans. Smart Grid, vol. 3, no. 1, pp. 12-25, Mar. 2012.
16. A. Hawkes and M. Leach, "Modelling high level system design and unit commitment for a microgrid," Appl. Energy, vol. 86, no. 7-8, pp. 1253-1265, Jul. 2009.
17. I. Gradshteyn and I. Ryzhik, in Table of Integrals, Series, and Products, A. Jeffrey and D. Zwillinger, Eds., 7th ed., New York, NY, USA: Elsevier Academic Press, 2007.
18. H. Feroze, "Multi-agent systems in microgrids: Design and implementation," Master Thesis, Virginia Tech, 2009.
19. L. Tao and C. Schwaegerl, "Advanced architectures and control concepts for more microgrids," EC Project, Tech. Rep. SES6-019864, 2009.
20. M. Pipattanasomporn, H. Feroze, and S. Rahman, "Securing critical loads in a PV-based microgrid with a multi-agent system," Renew. Energy, vol. 39, no. 1, pp. 166-174, Mar. 2012.
21. J. Carta, P. Ramrez, and S. Velázquez, "A review of wind speed probability distributions used in wind energy analysis," Renew. Sustain. Energy Rev., vol. 13, no. 5, pp. 933-955, Jun. 2009.
22. S. Roy, "Market constrained optimal planning for wind energy conversion systems over multiple installation sites," IEEE Trans. Energy Convers., vol. 17, no. 1, pp. 124-129, Mar. 2002. (Pubitemid 34404522)
23. F. Barbir and T. Gómez, "Efficiency and economics of proton exchange membrane fuel cells," Int. J. Hydrogen Energy, vol. 13, no. 8, pp. 1027-1037, 1997. (Pubitemid 127376968)
24. F. Mohamed, "Microgrid modelling and online management," Ph.D. dissertation, Helsinki University of Technology, Helsinki, Finland, 2008.
25. A.Azmyand I. Erlich, "Online optimal management ofPEMfuel cells using neural networks," IEEE Trans. Power Del., vol. 20, no. 2, pp. 1051-1058, Apr. 2005. (Pubitemid 40583617)
26. J. L. Bernal-Agustn and R. Dufo-López, "Economical and environmental analysis of grid connected photovoltaic systems in Spain," Renew. Energy, vol. 31, no. 8, pp. 1107-1128, Jul. 2006. (Pubitemid 43199550)
27. F. Mohamed and H. Koivo, "Multiobjective optimization using modified game theory for online management of microgrid," Eur. Trans. Electr. Power, vol. 21, no. 1, pp. 839-854, 2011.
28. A. Saber and G. Venayagamoorthy, "Plug-in vehicles and renewable energy sources for cost and emission reductions," IEEE Trans. Ind. Electron., vol. 58, no. 4, pp. 1229-1238, Apr. 2011.
29. R. Doherty and M. O'Malley, "A new approach to quantify reserve demand in systems with significant installed wind capacity," IEEE Trans. Power Syst., vol. 22, no. 2, pp. 587-595, May 2005. (Pubitemid 40699684)
30. S. Tewari, C. J. Geyer, and N. Mohan, "A statistical model for wind power forecast error and its application to the estimation of penalties in liberalized markets," IEEE Trans. Power Syst., vol. 26, no. 4, pp. 2031-2039, Nov. 2011.
31. S. Boyd and L. Vandenberghe, Convex Optimization, Cambridge, U.K.: Cambridge Univ. Press, 2004.
32. D. P. Bertsekas, Nonlinear Programming, Belmont, MA, USA: Athena Scientific, 1995.
33. "Wind energy database of white deer" [Online]. Available: http://www. windenergy.org/datasites/14-whitedeer/.
34. W. Zhang, "Branch-and-Bound search algorithms and their computational complexity," University of Southern California Marina Delrey Information Sciences Inst, Tech. Rep. ADA314598, May 1996.
35. "What is time complexity of genetic algorithm" [Online]. Available: http://wiki.answers.com/Q/What-is-time-complexity-of-genetic- algorithm.
36. D. Lew and M. Milligan, "The value of wind power forecasting," in Proc. 91st American Meteorological Society Annual Meeting, Seattle, WA, USA, Jan. 2011.
37. S. Arefifar, Y. Mohamed, and T. El-Fouly, "Supply-adequacy-based optimal construction of microgrids in smart distribution systems," IEEE Trans. Smart Grid, vol. 3, no. 3, pp. 1491-1502, Sep. 2012.