Battery Energy Storage System in smoothing control application of photovoltaic power fluctuations caused by clouds passing

This paper describes the power smoothing control of a hybrid system. The hybrid system is composed of a Battery Energy Storage System (BESS) and a Photovoltaic (PV) generator connected to the grid. The control allows to limit the ramp of the power fluctuations defined by system limits or standard specifications. The different tests shown in the paper demonstrate the relationship between the battery usage and the magnitude of the smoothing. A description of the main parameters for the smoothing control configuration is included. The study case describes the response of a smoothing control on real photovoltaic power fluctuations caused by a one-day clouds passing.

[1]  Juan Gonzalez,et al.  Battery Energy Storage for Enabling Integration of Distributed Solar Power Generation , 2012, IEEE Transactions on Smart Grid.

[2]  Bruno Francois,et al.  Power Control Design of a Battery Charger in a Hybrid Active PV Generator for Load-Following Applications , 2011, IEEE Transactions on Industrial Electronics.

[3]  A. Oudalov,et al.  Value Analysis of Battery Energy Storage Applications in Power Systems , 2006, 2006 IEEE PES Power Systems Conference and Exposition.

[4]  Dong Hui,et al.  Battery Energy Storage Station (BESS)-Based Smoothing Control of Photovoltaic (PV) and Wind Power Generation Fluctuations , 2013, IEEE Transactions on Sustainable Energy.

[5]  K. Nakamura,et al.  Ramp-Rate Control of Photovoltaic Generator With Electric Double-Layer Capacitor , 2009, IEEE Transactions on Energy Conversion.

[6]  Luis Marroyo,et al.  Control strategies to use the minimum energy storage requirement for PV power ramp-rate control , 2015 .

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

[8]  Sandia Report,et al.  Energy Storage for the Electricity Grid: Benefits and Market Potential Assessment Guide A Study for the DOE Energy Storage Systems Program , 2010 .

[9]  D. Linden.  Handbook Of Batteries , 2001 .

[10]  T. Kousksou,et al.  Energy storage: Applications and challenges , 2014 .

[11]  David Linden,et al.  Linden's Handbook of Batteries , 2010 .

[12]  Srdjan M. Lukic,et al.  Energy Storage Systems for Automotive Applications , 2008, IEEE Transactions on Industrial Electronics.

[13]  B. Dunn,et al.  Electrical Energy Storage for the Grid: A Battery of Choices , 2011, Science.

[14]  James M. Eyer,et al.  Innovative applications of energy storage in a restructured electricity marketplace : Phase III final report : a study for the DOE Energy Storage Systems Program. , 2005 .

[15]  M. Garcia-Plaza,et al.  A Ni–Cd battery model considering state of charge and hysteresis effects , 2015 .

[16]  Gregory L. Plett,et al.  High-performance battery-pack power estimation using a dynamic cell model , 2004, IEEE Transactions on Vehicular Technology.

[17]  Srdjan M. Lukic,et al.  Energy Storage Systems for Transport and Grid Applications , 2010, IEEE Transactions on Industrial Electronics.

[18]  Andreas Sumper,et al.  A review of energy storage technologies for wind power applications , 2012 .

[19]  L. Marroyo,et al.  Storage requirements for PV power ramp-rate control , 2014 .

[20]  Paul C. Butler,et al.  Energy Storage Opportunities Analysis Phase II Final Report: A Study for the DOE Energy Storage Systems Program , 2002 .

[21]  T. Hund,et al.  Grid-Tied PV system energy smoothing , 2010, 2010 35th IEEE Photovoltaic Specialists Conference.

[22]  Haisheng Chen,et al.  Progress in electrical energy storage system: A critical review , 2009 .

[23]  Hongwen He,et al.  Model-based dynamic multi-parameter method for peak power estimation of lithium-ion batteries , 2012 .