MPC for reducing energy storage requirement of wind power systems

This paper discusses using the battery energy storage system (BESS) to mitigate wind power intermittency, so that wind power can be dispatchable on an hourly basis like fossil fuel power plants. In particular, model predictive control (MPC) is used to control the charge and discharge of BESS to compensate for wind power forecast errors and minimize operation costs to the wind farm owner. A ramp rate penalty on wind power scheduling is included in the optimization to make the optimal control trajectory smoother, while the performance is kept intact. Numerical simulations with a one-year long wind power dataset show that MPC controller is much more effective in reducing the operation cost to the wind farm owner than the heuristic control algorithm or conventional reserves, in that BESS with a much smaller capacity will be suffice to achieve the same cost reduction.

[1]  M. O'Malley,et al.  Quantifying reserve demands due to increasing wind power penetration , 2003, 2003 IEEE Bologna Power Tech Conference Proceedings,.

[2]  Pierre Pinson,et al.  Dynamic sizing of energy storage for hedging wind power forecast uncertainty , 2009, 2009 IEEE Power & Energy Society General Meeting.

[3]  S. Dutta,et al.  Optimal storage sizing for integrating wind and load forecast uncertainties , 2012, 2012 IEEE PES Innovative Smart Grid Technologies (ISGT).

[4]  Juan Carlos Balda,et al.  Smart grid applications of selected energy storage technologies , 2012, 2012 IEEE PES Innovative Smart Grid Technologies (ISGT).

[5]  Barbara T. Fichman Annual Energy Review 2011 , 2012 .

[6]  Mike Barnes,et al.  Power quality and stability improvement of a wind farm using STATCOM supported with hybrid battery energy storage , 2006 .

[7]  Ryan Wiser,et al.  2011 Wind Technologies Market Report , 2012 .

[8]  Pengwei Du,et al.  Optimal size of energy storage to accommodate high penetration of renewable resources in WECC system , 2010, 2010 Innovative Smart Grid Technologies (ISGT).

[9]  Magnus Korpaas,et al.  Operation and sizing of energy storage for wind power plants in a market system , 2003 .

[10]  A.M. Gonzalez,et al.  Stochastic Joint Optimization of Wind Generation and Pumped-Storage Units in an Electricity Market , 2008, IEEE Transactions on Power Systems.

[11]  Chet Sandberg,et al.  The Role of Energy Storage in Development of Smart Grids , 2011, Proceedings of the IEEE.

[12]  Ryan Wiser,et al.  2009 Wind Technologies Market Report , 2010 .

[13]  D. A. Halamay,et al.  Optimal Energy Storage Sizing and Control for Wind Power Applications , 2011, IEEE Transactions on Sustainable Energy.

[14]  Xianzhong Chen,et al.  Supervisory Predictive Control of Standalone Wind/Solar Energy Generation Systems , 2011, IEEE Transactions on Control Systems Technology.

[15]  T. C. Green,et al.  Benefits and control of STATCOM with energy storage in wind power generation , 2006 .

[16]  Andrey V. Savkin,et al.  A model predictive control approach to the problem of wind power smoothing with controlled battery storage , 2010 .

[17]  Gregor Giebel,et al.  The State-Of-The-Art in Short-Term Prediction of Wind Power. A Literature Overview , 2003 .

[18]  Matthew Clayton Such,et al.  Battery energy storage and wind energy integrated into the Smart Grid , 2012, 2012 IEEE PES Innovative Smart Grid Technologies (ISGT).

[19]  Subhashish Bhattacharya,et al.  Optimal Control of Battery Energy Storage for Wind Farm Dispatching , 2010, IEEE Transactions on Energy Conversion.

[20]  Susan M. Schoenung,et al.  Energy storage systems cost update : a study for the DOE Energy Storage Systems Program. , 2011 .

[21]  T. Mount,et al.  Integrating Wind Power: A potential Role for Controllable Demand , 2011 .

[22]  Jing Sun,et al.  Synergistic control of plug-in vehicle charging and wind power scheduling , 2013, IEEE Transactions on Power Systems.

[23]  X.Y. Wang,et al.  Determination of Battery Storage Capacity in Energy Buffer for Wind Farm , 2008, IEEE Transactions on Energy Conversion.

[24]  Chika O. Nwankpa,et al.  System constraints effects on optimal dispatch schedule for battery storage systems , 2012, 2012 IEEE PES Innovative Smart Grid Technologies (ISGT).

[25]  K. J. Tseng,et al.  Optimization of battery energy storage system with super-capacitor for renewable energy applications , 2011, 8th International Conference on Power Electronics - ECCE Asia.