Model predictive control for wind power generation smoothing with controlled battery storage based on a nonlinear battery mathematical model

Implementing battery energy storage system (BESS) in wind power plant reduces its fluctuation and hence makes this renewable energy resource more dispatchable. The aim of this paper is to design a controller based on model predictive control (MPC) theory along with a nonlinear battery energy storage model to smooth wind power output by controlled storage of the wind energy in battery with respect to use battery plant and battery constraints. The goal of the control is to use BESS maximally smoothing the output power dispatched to the grid while using forecasted wind power. The efficiency of this control strategy has been evaluated via simulation of an actual wind farm data.

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

[2]  K. C. Divya,et al.  Battery Energy Storage Technology for power systems-An overview , 2009 .

[3]  Paul S. Veers.  Wind Energy Fundamentals and Wind Turbine Blades. , 2009 .

[4]  A. V. Savkin,et al.  A Method for Short-Term Wind Power Prediction With Multiple Observation Points , 2012, IEEE Transactions on Power Systems.

[5]  Kevin Barraclough,et al.  I and i , 2001, BMJ : British Medical Journal.

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

[7]  Andrey V. Savkin,et al.  Minimization and control of battery energy storage for wind power smoothing: Aggregated, distributed and semi-distributed storage , 2014 .

[8]  J. N. Baker,et al.  Electrical energy storage at the turn of the Millennium , 1999 .

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

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

[11]  J. Richalet,et al.  Industrial applications of model based predictive control , 1993, Autom..

[12]  Graham C. Goodwin,et al.  Control System Design , 2000 .

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

[14]  Geir Moe,et al.  Status, plans and technologies for offshore wind turbines in Europe and North America , 2009 .

[15]  Jan Dimon Bendtsen,et al.  Introducing Model Predictive Control for Improving Power Plant Portfolio Performance , 2008 .

[16]  Andrey V. Savkin,et al.  Model predictive control for wind power generation smoothing with controlled battery storage , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

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

[18]  V. G. Agelidis,et al.  Improving Wind Farm Dispatch in the Australian Electricity Market With Battery Energy Storage Using Model Predictive Control , 2013, IEEE Transactions on Sustainable Energy.

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

[20]  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.