A Generation-Interval-Based Mechanism for Managing the Power Generation Uncertainties of Variable Generation

Power generation uncertainty is an important characteristic of variable generation (VG) platforms, such as wind and solar power, which brings additional operational costs to the power systems. To manage this uncertainty, responsibilities should be properly allocated to encourage good behaviors of system participants, especially the VG producers. Currently, the imbalance-cost-based mechanism is most commonly used for uncertainty management. Based on this method, we consider a new mechanism in this paper for capturing the uncertainty, which may achieve a better mechanism performance. The basic idea is to allow producers to purchase generation intervals (GIs) for their potential production output. The analysis presented in this paper indicates that producers can be very responsive to this mechanism. With the proper pricing policies, producers can be encouraged to provide additional information on upcoming uncertainties to the system operators. Additionally, three strategies for pricing GIs are included in this paper. Case studies are used to demonstrate the application of the mechanism as well as its effectiveness.

[1]  Felix F. Wu,et al.  Uncertainty management in power system operation , 2015 .

[2]  Feng Liu,et al.  Robust Energy and Reserve Dispatch Under Variable Renewable Generation , 2015, IEEE Transactions on Smart Grid.

[3]  Andres Ramos,et al.  The impact of European balancing rules on wind power economics and on short-term bidding strategies , 2014 .

[4]  Long Zhao,et al.  An Exact Algorithm for Two-stage Robust Optimization with Mixed Integer Recourse Problems , 2012 .

[5]  J. R. Abbad Electricity market participation of wind farms: the success story of the Spanish pragmatism , 2010 .

[6]  Bin Wang,et al.  Adjustable Robust Real-Time Power Dispatch With Large-Scale Wind Power Integration , 2015, IEEE Transactions on Sustainable Energy.

[7]  Joanna I. Lewis,et al.  China's wind power industry: Policy support, technological achievements, and emerging challenges , 2012 .

[8]  Antonio J. Conejo,et al.  Short-Term Trading for a Wind Power Producer , 2010 .

[9]  Daniel S. Kirschen,et al.  A Hybrid Stochastic/Interval Approach to Transmission-Constrained Unit Commitment , 2015, IEEE Transactions on Power Systems.

[10]  Mohammad Shahidehpour,et al.  Market Clearing for Uncertainty, Generation Reserve, and Transmission Reserve-Part I: Theory , 2015, ArXiv.

[11]  P. Varaiya,et al.  Bringing Wind Energy to Market , 2012, IEEE Transactions on Power Systems.

[12]  Xu Andy Sun,et al.  Adaptive Robust Optimization With Dynamic Uncertainty Sets for Multi-Period Economic Dispatch Under Significant Wind , 2015 .

[13]  Yongpei Guan,et al.  Unified Stochastic and Robust Unit Commitment , 2013, IEEE Transactions on Power Systems.

[14]  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.

[15]  Yongpei Guan,et al.  Uncertainty Sets for Robust Unit Commitment , 2014, IEEE Transactions on Power Systems.

[16]  L. Soder,et al.  Minimization of imbalance cost trading wind power on the short term power market , 2005, 2005 IEEE Russia Power Tech.

[17]  D. Corbus,et al.  Eastern Wind Integration and Transmission Study -- Preliminary Findings: Preprint , 2009 .

[18]  Rohit Bhakar,et al.  Strategic bidding for wind power producers in electricity markets , 2014 .

[19]  A. Conejo,et al.  Multi-Area Unit Scheduling and Reserve Allocation Under Wind Power Uncertainty , 2014 .

[20]  H. L. Durrwachter,et al.  Integration of Wind Generation Into the ERCOT Market , 2012, IEEE Transactions on Sustainable Energy.

[21]  P. Pinson,et al.  Trading Wind Generation From Short-Term Probabilistic Forecasts of Wind Power , 2007, IEEE Transactions on Power Systems.

[22]  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.

[23]  Jian Ma,et al.  Operational Impacts of Wind Generation on California Power Systems , 2009, IEEE Transactions on Power Systems.

[24]  Audun Botterud,et al.  Wind power bidding in electricity markets with high wind penetration , 2014 .

[25]  Kameshwar Poolla,et al.  Selling wind power in electricity markets: The status today, the opportunities tomorrow , 2012, 2012 American Control Conference (ACC).

[26]  Ramteen Sioshansi,et al.  Market protocols in ERCOT and their effect on wind generation , 2010 .

[27]  R. Harley,et al.  Increased Wind Revenue and System Security by Trading Wind Power in Energy and Regulation Reserve Markets , 2011, IEEE Transactions on Sustainable Energy.

[28]  J. Usaola,et al.  Bidding wind energy under uncertainty , 2007, 2007 International Conference on Clean Electrical Power.

[29]  Vladimiro Miranda,et al.  Wind Power Trading Under Uncertainty in LMP Markets , 2012, IEEE Transactions on Power Systems.

[30]  Yang Wang,et al.  Unit Commitment With Volatile Node Injections by Using Interval Optimization , 2011, IEEE Transactions on Power Systems.

[31]  Xu Andy Sun,et al.  Adaptive Robust Optimization for the Security Constrained Unit Commitment Problem , 2013, IEEE Transactions on Power Systems.