Optimal Control of Battery Energy Storage for Wind Farm Dispatching

Integrating a battery energy storage system (BESS) with a large wind farm can make a wind farm more dispatchable. This paper focuses on development of a control strategy for optimal use of the BESS for this purpose. The paper considers an open-loop optimal control scheme to incorporate the operating constraints of the BESS, such as state of charge limits, charge/discharge current limits, and lifetime. The goal of the control is to have the BESS to provide as much smoothing as possible, so that the wind farm can be dispatched on an hourly basis based on the forecasted wind conditions. The effectiveness of this control strategy has been tested by using an actual wind farm data. Furthermore, a real-time implementation strategy using model predictive control is also proposed. Finally, it is shown that the control strategy is very important in improving the BESS performance for this application.

[1]  Benoît Chachuat,et al.  Nonlinear and Dynamic Optimization: From Theory to Practice , 2007 .

[2]  Robyn A. Jackey,et al.  A Simple, Effective Lead-Acid Battery Modeling Process for Electrical System Component Selection , 2007 .

[3]  S. Barsali,et al.  Dynamical Models of Lead-Acid Batteries: Implementation Issues , 2002, IEEE Power Engineering Review.

[4]  Eduard Muljadi,et al.  Energy Storage and Reactive Power Compensator in a Large Wind Farm: Preprint , 2004 .

[5]  S. Mathew.  Wind Energy: Fundamentals, Resource Analysis and Economics , 2006 .

[6]  Johan Åkesson,et al.  MPCtools 1.0 -- Reference Manual , 2006 .

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

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

[9]  T. Hennessy,et al.  The multiple benefits of integrating electricity storage with wind energy , 2005, IEEE Power Engineering Society General Meeting, 2005.

[10]  G. Joos,et al.  Supercapacitor Energy Storage for Wind Energy Applications , 2007, IEEE Transactions on Industry Applications.

[11]  Victor M. Becerra,et al.  Development and applications of novel optimal control algorithms , 1994 .

[12]  M. Ceraolo,et al.  New dynamical models of lead-acid batteries , 2000 .

[13]  Ying Hua Han,et al.  Grid Integration of Wind Energy Conversion Systems , 2000 .

[14]  M. Baran,et al.  STATCOM Impact Study on the Integration of a Large Wind Farm into a Weak Loop Power System , 2008, 2006 IEEE PES Power Systems Conference and Exposition.

[15]  Chengxiong Mao,et al.  Use of Battery Energy Storage System to Improve the Power Quality and Stability of Wind Farms , 2006, 2006 International Conference on Power System Technology.

[16]  Andreas T. Ernst,et al.  Using intelligent storage to smooth wind energy generation , 2009 .

[17]  S. Bhattacharya,et al.  Control Strategies for Battery Energy Storage for Wind Farm Dispatching , 2009, IEEE Transactions on Energy Conversion.

[18]  T. Nanahara,et al.  New Control Method for Regulating State-of- Charge of a Battery in Hybrid Wind Power/Battery Energy Storage System , 2006, 2006 IEEE PES Power Systems Conference and Exposition.

[19]  Siegfried Heier,et al.  Grid Integration of Wind Energy Conversion Systems , 1998 .

[20]  D. Hawkins,et al.  Evolving Role of Wind Forecasting in Market Operation at the CAISO , 2006, 2006 IEEE PES Power Systems Conference and Exposition.

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