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http://dx.doi.org/10.5370/JEET.2013.8.6.1596

Study on Multi-scale Unit Commitment Optimization in the Wind-Coal Intensive Power System  

Ye, Xi (State Key Lab of Power Systems, Department of Electrical Engineering, Tsinghua University)
Qiao, Ying (State Key Lab of Power Systems, Department of Electrical Engineering, Tsinghua University)
Lu, Zongxiang (State Key Lab of Power Systems, Department of Electrical Engineering, Tsinghua University)
Min, Yong (State Key Lab of Power Systems, Department of Electrical Engineering, Tsinghua University)
Wang, Ningbo (Gansu Electrical Power Grid Corporation)
Publication Information
Journal of Electrical Engineering and Technology / v.8, no.6, 2013 , pp. 1596-1604 More about this Journal
Abstract
Coordinating operation between large-scale wind power and thermal units in multiple time scale is an important problem to keep power balance, especially for the power grids mainly made up of large coal-fired units. The paper proposes a novel operation mode of multi-scale unit commitment (abbr. UC) that includes mid-term UC and day-ahead UC, which can take full advantage of insufficient flexibility and improve wind power accommodation. First, we introduce the concepts of multi-scale UC and then illustrate the benefits of introducing mid-term UC to the wind-coal intensive grid. The paper then formulates the mid-term UC model, proposes operation performance indices and validates the optimal operation mode by simulation cases. Compared with day-ahead UC only, the multi-scale UC mode could reduce the total generation cost and improve the wind power net benefit by decreasing the coal-fired units' on/off operation. The simulation results also show that the maximum total generation benefit should be pursued rather than the wind power utilization rate in wind-coal intensive system.
Keywords
Multi-scale; Unit commitment; Coal-fired units; High wind power penetration; Coordinating operation;
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1 American Wind Energy Association. "American wind energy association annual wind industry report" 2009. [EB/OL]. [2013-01-22] http://www.awea.org/_cs_upload//learnabout/publications/5094_1.pdf
2 Hannele Holttinen, Antje G. Orths, Peter Borre Eriksen, et al. "Currents of change - European experience and perspectives with high wind penetration Levels". IEEE power & energy magazine, Vol. 9, No. 6, pp.47-59, November/December, 2011.   DOI   ScienceOn
3 Aidan Tuohy, Peter Meibom, Eleanor Denny, et al. "Unit Commitment for Systems with Significant Wind Penetration". IEEE Transations on Power Systems, Vol. 24, No. 2, pp.592-601, May, 2009.   DOI   ScienceOn
4 Methaprayoon Kittipong, Yingvivatanapong Chitra, Lee Wei-Jen, et al. "An integration of ANN wind power estimation into unit commitment considering the forecasting uncertainty". IEEE Transations on Industry Applications, Vol. 43, No. 6, pp. 1441-1448, November/December, 2007.   DOI   ScienceOn
5 Pablo A.Ruiz, C.Russ Philbrick, Eugene Zak, et al. "Uncertainty Management in the Unit Commitment Problem". IEEE Transations on Power Systems, Vol. 24, No. 2, pp. 642-651, May, 2009.   DOI   ScienceOn
6 HANS Bludszuweit, JOSE Antonio Dominguez-Navarro, Andres Llombart. "Statistical analysis of wind power forecast error". IEEE Transations on Power Systems, Vol. 23, No. 3, pp. 983-991, August, 2008.   DOI   ScienceOn
7 ZHANG Zhaosui, SUN Yuanzhang, LI Guojie, et al. "A solution of economic dispatch problem considering wind power uncertainty". Automation of Electric Power System, Vol. 35, No. 22, pp.125-130, November, 2011.
8 HODGE B M, MILLIGAN M. "Wind power forecasting error distributions over multiple timescales", in Proceedings of Power & Energy Society General Meeting, Detroit, MI, USA, July 2011.
9 BOFINGER S, LUIG A, BEYER H G. "Qualification of wind power forecasts" , in Proceeding of Global Wind Power Conference, Paris, France, April 2002.
10 Xi Ye, Ying Qiao, Zongxiang Lu, et al. "Study on mid-term and day-ahead coordination in inflexible system with high wind power penetration", in Proceedings of Power & Energy Society General Meeting(Submitted),Vancouver, British Columbia, Canada,July,2013.
11 CRIGG C, WONG P, ALBRECHT P, et al. "The IEEE reliability test system 1996". IEEE Transactions on Power System, Vol. 14, No. 3, pp. 1010-1020, August, 1996.
12 US Energy Information Administration. "Average cost and quality of fossil fuels: electric power monthly with data for December", 2010[EB/OL]. [2013-01-22] http://www.eia.doe.gov/cneaf/electricity/epm/table4_1. html.
13 CARRION M, ARROYO J M. "A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem". IEEE Transactions on Power Systems, Vol. 21, No. 3, pp. 1371-1378, August, 2006.   DOI   ScienceOn
14 American Wind Energy Association. "American wind energy association annual wind industry report" 2009. [EB/OL]. [2013-01-22] http://www.awea.org/_cs_upload//learnabout/publications/5094_1.pdf