Real-Time Control Strategy of Energy Storage Systems for Renewable Energy Sources Exploitation

An optimal energy storage system (ESS) management procedure devoted to full renewable energy sources (RESs) exploitation is presented in this paper. It consists of an appropriate scheduling procedure and a real-time control strategy, which both aim to increase the RES penetration level as much as possible. In particular, the one-day-ahead scheduling procedure synthesizes the combined RES-ESS energy production profile with the aim of minimizing the RES energy production curtailments by means of ESS energy buffering. The real-time control strategy is developed in order to track the scheduled profile as well as possible by mitigating forecasting errors, thus improving RES reliability. The worth and effectiveness of the proposed management procedure is verified through a wide simulation study, which is carried out by means of the Matlab software package.

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

[2]  P. Rodriguez,et al.  Overview of the energy storage systems for wind power integration enhancement , 2010, 2010 IEEE International Symposium on Industrial Electronics.

[3]  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).

[4]  S G Goyena,et al.  Sizing and analysis of big scale and isolated electric systems based on renewable sources with energy storage , 2009, 2009 IEEE PES/IAS Conference on Sustainable Alternative Energy (SAE).

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

[6]  Juan A. Martinez,et al.  Modeling and characterization of energy storage devices , 2011, 2011 IEEE Power and Energy Society General Meeting.

[7]  Kai Heussen,et al.  Unified System-Level Modeling of Intermittent Renewable Energy Sources and Energy Storage for Power System Operation , 2012, IEEE Systems Journal.

[8]  Patrick Balducci,et al.  Energy storage for variable renewable energy resource integration — A regional assessment for the Northwest Power Pool (NWPP) , 2011, 2011 IEEE/PES Power Systems Conference and Exposition.

[9]  Brian Vad Mathiesen,et al.  Comparative analyses of seven technologies to facilitate the integration of fluctuating renewable energy sources , 2009 .

[10]  Anthony Papavasiliou,et al.  Supplying renewable energy to deferrable loads: Algorithms and economic analysis , 2010, IEEE PES General Meeting.

[11]  Brendan Kirby,et al.  Impact of variable renewable energy on US electricity markets , 2010, IEEE PES General Meeting.

[12]  G. Coppez,et al.  Impacts of energy storage in distributed Power Generation: A review , 2010, 2010 International Conference on Power System Technology.

[13]  Aoife Foley,et al.  Electric Vehicles and energy storage — a case study on Ireland , 2009, 2009 IEEE Vehicle Power and Propulsion Conference.

[14]  Yue Yuan,et al.  Optimal operation strategy of energy storage unit in wind power integration based on stochastic programming , 2011 .

[15]  Ali T. Al-Awami,et al.  Coordinating Vehicle-to-Grid Services With Energy Trading , 2012, IEEE Transactions on Smart Grid.

[16]  Shuang Gao,et al.  Stationary and mobile battery energy storage systems for smart grids , 2011, 2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT).