Page 362 - Renewable Energy Devices and System with Simulations in MATLAB and ANSYS
P. 362
Batteries and Ultracapacitors for Electric Power Systems with Renewable Energy Sources 349
and studies that have been conducted on ESSs in recent decades, electrical energy systems are still
an active field of research. ESSs are the main key to many concepts and tasks, including smart grids,
microgrids, and energy-efficient systems. Active research areas include investigation and improve-
ment in lifetime, energy and power density, and thermal behavior. Although the majority of the
installed electrical energy storage capacity is currently pumped hydro and compressed air energy
storage (CAES) systems, batteries and ultracapacitors are very promising ESSs for future systems.
REFERENCES
1. D. Rastler, Electricity Energy Storage Technology Options; a white paper primer on applications, costs
and benefits, Electric Power Research Institute (EPRI), Technical Update, December 2010.
2. S. Vazquez, S. M. Lukic, E. Galvan, L. G. Franquelo, and J. M. Carrasco, Energy storage systems for
transport and grid applications, IEEE Transactions on Industrial Electronics, 57(12), 3881–3895, 2010.
3. A. Khaligh and Z. Li, Battery, ultracapacitor, fuel cell, and hybrid energy storage systems for electric,
hybrid electric, fuel cell, and plug-in hybrid electric vehicles: State of the art, IEEE Transactions on
Vehicular Technology, 59(6), 2806–2814, 2010.
4. A. R. Sparacino, G. F. Reed, R. J. Kerestes, B. M. Grainger, and Z. T. Smith, Survey of battery energy stor-
age systems and modeling techniques, IEEE Power and Energy Society General Meeting, pp. 1–8, 2012.
5. A. Esmaili and A. Nasiri, Energy storage for short-term and long-term wind energy support, Annual
Conference on IEEE Industrial Electronics Society, IECON’2010, pp. 3281–3286, 2010.
6. B. McKeon, J. Furukawa, and S. Fenstermacher, Advanced lead–acid batteries and the development of
grid-scale energy storage systems, Proceedings of the IEEE, 102(6), 951–963, 2014.
7. T. Horiba, Lithium-ion battery systems, Proceedings of the IEEE, 102(6), 939–950, 2014.
8. Z. Wen, Study on energy storage technology of sodium sulfur battery and its application in power system,
Proceedings of International Conference on Power System Technology, pp. 1–4, 2006.
9. Q. Fu, A. Hamidi, A. Nasiri, V. Bhavaraju, S. Krstic, and P. Theisen, The role of energy storage in
a microgrid concept, examining the opportunities and promise of microgrids, IEEE Electrification
Magazine, 1(2), 21–29, 2013.
10. H. Ibrahim, A. Ilincaa, and J. Perronb, Energy storage systems—Characteristics and comparisons,
Renewable and Sustainable Energy Reviews, 12(5), 1221–1250, 2008.
11. D. Banham-Hall, G. Taylor, C. Smith, and M. Irving, Flow batteries for enhancing wind power integra-
tion, IEEE Transactions on Power System, 27(3), 1690–1697, 2012.
12. E. Manla, A. Nasiri, and M. Hughes, Modeling of zinc energy storage system for integration with r enewable
energy, Proceedings of IEEE Industrial Electronics Conference, IECON’2009, pp. 3987–3992, 2009.
13. H. Liu and J. Jiang, Flywheel energy storage—An upswing technology for energy sustainability, Energy
and Buildings, 39(5), 599–604, 2007.
14. D. W. Dennis, V. S. Battaglia, and A. Belanger, Electrochemical modeling of lithium polymer batteries,
Journal of Power Sources, 110(2), 310–320, 2002.
15. J. Newan, K. E. Thomas, H. Hafezi, and D. R. Wheeler, Modeling of lithium-ion batteries, Journal of
Power Sources, 119(3), 838–843, 2003.
16. K. Smith, C. Rahn, and C. Wang, Control oriented 1D electrochemical model of lithium ion battery,
Energy Conversion Management, 48(9), 2565–2578, 2007.
17. K. Smith, C. Rahn, and C. Wang, Model-based electrochemical estimation and constraint management
for pulse operation of lithium ion batteries, IEEE Transaction on Control Systems Technology, 18(3),
654–663, 2010.
18. K. Smith, Electrochemical control of lithium-ion batteries, IEEE Control Systems, 38(2), 18–25, 2010.
19. D. Rakhmatov, S. Vrudhula, and D. A. Wallach, A model for battery lifetime analysis for organizing
applications on a pocket computer, IEEE Transactions on VLSI Systems, 11(6), 1019–1030, 2003.
20. P. E. Pascoe and A. H. Anbuky, VRLA battery discharge reserve time estimation, IEEE Transaction on
Power Electronics, 19(6), 1515–1522, 2004.
21. M. Chen and G. A. Rincon-Mora, Accurate electrical battery model capable of predicting runtime and
I-V performance, IEEE Transactions on Energy Conversion, 21(2), 504–511, 2006.
22. R. C. Kroeze and P. T. Krein, Electrical battery model for use in dynamic electric vehicle simulations,
Proceedings of IEEE Power Electronics Specialists Conference, PESC’2008, pp. 1336–1342, 2008.
23. B. Schweighofer, K. M. Raab, and G. Brasseur, Modeling of high power automotive batteries by the
use of an automated test system, IEEE Transactions on Instrumentation and Measurement, 52(4),
1087–1091, 2003.