An Integrated Multiperiod OPF Model With Demand Response and Renewable Generation Uncertainty
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[1] R D Zimmerman,et al. MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education , 2011, IEEE Transactions on Power Systems.
[2] Pu Li,et al. Probabilistic analysis for optimal power flow under uncertainty , 2010 .
[3] Pierre Pinson,et al. Wind Energy: Forecasting Challenges for Its Operational Management , 2013, 1312.6471.
[4] Le Xie,et al. Coupon Incentive-Based Demand Response: Theory and Case Study , 2013, IEEE Transactions on Power Systems.
[5] Gabriela Hug,et al. Bidding strategy in energy and spinning reserve markets for aluminum smelters' demand response , 2015, 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).
[6] Juan M. Morales,et al. Real-Time Demand Response Model , 2010, IEEE Transactions on Smart Grid.
[7] C.I.F. Agreira,et al. Transient stability preventive control of an electric power system using a hybrid method , 2008, 2008 12th International Middle-East Power System Conference.
[8] Johanna L. Mathieu,et al. Stochastic Optimal Power Flow with Uncertain Reserves from Demand Response , 2014, 2014 47th Hawaii International Conference on System Sciences.
[9] Ross Baldick,et al. Harnessing demand flexibility to match renewable production using localized policies , 2012, 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton).
[10] K. Porter,et al. Status of Centralized Wind Power Forecasting in North America: May 2009-May 2010 , 2010 .
[11] Robert Entriken,et al. Stochastic optimal power flow in systems with wind power , 2011, 2011 IEEE Power and Energy Society General Meeting.
[12] David Hawkins,et al. Improved power system operations with high penetration of wind power: A dialog between academia and industry , 2010, IEEE PES General Meeting.
[13] Zhenpo Wang,et al. Grid Power Peak Shaving and Valley Filling Using Vehicle-to-Grid Systems , 2013, IEEE Transactions on Power Delivery.
[14] Robert J. Thomas,et al. Secure Planning and Operations of Systems With Stochastic Sources, Energy Storage, and Active Demand , 2013, IEEE Transactions on Smart Grid.
[15] Yongpei Guan,et al. Multi-stage robust unit commitment considering wind and demand response uncertainties , 2012, 2014 IEEE PES General Meeting | Conference & Exposition.
[16] Jizhong Zhu,et al. Optimization of Power System Operation , 2009 .
[17] Christopher Saunders. Point Estimate Method Addressing Correlated Wind Power for Probabilistic Optimal Power Flow , 2014, IEEE Transactions on Power Systems.
[18] Zhi Chen,et al. Real-Time Price-Based Demand Response Management for Residential Appliances via Stochastic Optimization and Robust Optimization , 2012, IEEE Transactions on Smart Grid.
[19] Brian W. Kernighan,et al. AMPL: A Modeling Language for Mathematical Programming , 1993 .
[20] Munther A. Dahleh,et al. Demand Response Using Linear Supply Function Bidding , 2015, IEEE Transactions on Smart Grid.
[21] Joseph F. DeCarolis,et al. The Costs of Wind's Variability: Is There a Threshold? , 2005 .
[22] Soumyadip Ghosh,et al. Two-stage stochastic optimization for optimal power flow under renewable generation uncertainty , 2014, ACM Trans. Model. Comput. Simul..
[23] Yongpei Guan,et al. Stochastic Unit Commitment With Uncertain Demand Response , 2013, IEEE Transactions on Power Systems.
[24] A. Martin,et al. Balancing act [demand side flexibility] , 2006 .
[25] Anthony Papavasiliou,et al. Multiarea Stochastic Unit Commitment for High Wind Penetration in a Transmission Constrained Network , 2013, Oper. Res..
[26] H. Madsen,et al. Controlling Electricity Consumption by Forecasting its Response to Varying Prices , 2013, IEEE Transactions on Power Systems.
[27] Bikash C. Pal,et al. Intermittent wind generation in optimal power flow dispatching , 2009 .
[28] Munther A. Dahleh,et al. Volatility of Power Grids Under Real-Time Pricing , 2011, IEEE Transactions on Power Systems.
[29] A. Zervos,et al. Wind power development in Europe , 2001, Proc. IEEE.