Comparative study on impacts of wind profiles on thermal units scheduling costs
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[1] C. Yingvivatanapong. Multi-area Unit Commitment And Economic Dispatch With Market Operation Components , 2007 .
[2] B. Norman,et al. A solution to the stochastic unit commitment problem using chance constrained programming , 2004 .
[3] Lennart Söder. Reserve margin planning in a wind-hydro-thermal power system , 1993 .
[4] Henrik Madsen,et al. Short‐term Prediction—An Overview , 2003 .
[5] M. O'Malley,et al. Quantifying the Total Net Benefits of Grid Integrated Wind , 2007, IEEE Transactions on Power Systems.
[6] E.A. DeMeo,et al. Utility Wind Integration and Operating Impact State of the Art , 2007, IEEE Transactions on Power Systems.
[7] Wei-Jen Lee,et al. An Integration of ANN Wind Power Estimation Into Unit Commitment Considering the Forecasting Uncertainty , 2007, IEEE Transactions on Industry Applications.
[8] I. Erlich,et al. A Stochastic Model for the Optimal Operation of a Wind-Thermal Power System , 2009, IEEE Transactions on Power Systems.
[9] A. Fabbri,et al. Assessment of the cost associated with wind generation prediction errors in a liberalized electricity market , 2005, IEEE Transactions on Power Systems.
[10] W.L. Kling,et al. Impacts of Wind Power on Thermal Generation Unit Commitment and Dispatch , 2007, IEEE Transactions on Energy Conversion.
[11] Jitka Dupacová,et al. Scenario reduction in stochastic programming , 2003, Math. Program..
[12] Fushuan Wen,et al. Optimal Spinning Reserve Capacity Determination Using a Chance-constrained Programming Approach , 2007 .
[13] F. Galiana,et al. Stochastic Security for Operations Planning With Significant Wind Power Generation , 2008, IEEE Transactions on Power Systems.
[14] A. Llombart,et al. Statistical Analysis of Wind Power Forecast Error , 2008, IEEE Transactions on Power Systems.
[15] Lee Wei-Jen,et al. Multi-Area Power Generation Dispatch in Competitive Markets , 2008, IEEE Transactions on Power Systems.
[16] John A. Gubner. Probability and Random Processes for Electrical and Computer Engineers , 2006 .
[17] N.P. Padhy,et al. Unit commitment-a bibliographical survey , 2004, IEEE Transactions on Power Systems.
[18] Thomas Ackermann,et al. Wind Power in Power Systems , 2005 .
[19] M. Lange,et al. Physical Approach to Short-Term Wind Power Prediction , 2005 .
[20] J.A.P. Lopes,et al. On the optimization of the daily operation of a wind-hydro power plant , 2004, IEEE Transactions on Power Systems.
[21] Nima Amjady,et al. Short-term hourly load forecasting using time-series modeling with peak load estimation capability , 2001 .
[22] Daniel S. Kirschen,et al. Estimating the Spinning Reserve Requirements in Systems With Significant Wind Power Generation Penetration , 2009, IEEE Transactions on Power Systems.
[23] Mohammad Shahidehpour,et al. The IEEE Reliability Test System-1996. A report prepared by the Reliability Test System Task Force of the Application of Probability Methods Subcommittee , 1999 .
[24] John R. Birge,et al. A stochastic model for the unit commitment problem , 1996 .
[25] Ulrich Focken,et al. Short-term prediction of the aggregated power output of wind farms—a statistical analysis of the reduction of the prediction error by spatial smoothing effects , 2002 .
[26] R. Piwko,et al. Wind energy delivery issues [transmission planning and competitive electricity market operation] , 2005, IEEE Power and Energy Magazine.
[27] A. Tuohy,et al. Operational costs induced by fluctuating wind power production in Germany and Scandinavia , 2009 .
[28] P. Sauer,et al. Uncertainty Management in the Unit Commitment Problem , 2009, IEEE Transactions on Power Systems.
[29] A. Tuohy,et al. Experience From Wind Integration in Some High Penetration Areas , 2007, IEEE Transactions on Energy Conversion.
[30] Probability Subcommittee,et al. IEEE Reliability Test System , 1979, IEEE Transactions on Power Apparatus and Systems.
[31] M. O'Malley,et al. A new approach to quantify reserve demand in systems with significant installed wind capacity , 2005, IEEE Transactions on Power Systems.