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Power System Emission Control Using Electrical Energy Storage Systems

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Part of the book series: Green Energy and Technology ((GREEN))

Abstract

Increasing air pollution in recent decades has raised many environmental concerns and affected the operation of electric power plants. On the other hand, energy storage systems with their fast-developing technologies are interesting options to be used with various goals in planning and operation of power systems. In this chapter, the power system operation with the Battery Energy Storage Systems (BESS) is analyzed and mathematically modeled in order to manage and control emission of power plants. Also, the life-time parameters of the BESS are considered in the problem modeling. The proposed model is optimized using a hybrid optimization approach which is based on combination of the (-iteration based economic load dispatch and genetic algorithm. The proposed approach is applied to a 69-bus system and the optimal parameters of the BESS are obtained. These parameters include the charge and discharge power and the stored energy of the BESS as well as its corresponding idle hours. The obtained results show that BESS can be used as an effective option for emission control of power plants.

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References

  1. Venkatesh, P., Lee, K.Y.: Multi-objective evolutionary programming for economic emission dispatch problem. In: Proc. of the IEEE Power and Energy Society General Meeting (2008)

    Google Scholar 

  2. Sirinivas, K., Patevard, C., Dos, D.B.: A new elitist multi-objective stochastic search technique and its application to economic-emission dispatch problem in power systems. In: Proc. of the IEEE Congress on Evolutionary Computation, pp. 2988–2995 (2007)

    Google Scholar 

  3. Das, D.B., Patvaradhan, C.: New multi-objective stochastic search technique for economic load dispatch. In: IEE Proc.-Gener. Transm. Distrib., pp. 1350–2360 (1998)

    Google Scholar 

  4. Nourai, A.: Large-scale electricity storage technologies for energy management. In: IEEE Power Engineering Society Summer Meeting, pp. 310–315 (2002)

    Google Scholar 

  5. Joseph, A., Shahidehpour, M.: Battery storages systems in electric power systems. In: Proc. of the IEEE Power Engineering Society General Meeting (2006)

    Google Scholar 

  6. Nourai, A., Kogan, V.I., Schafer, C.M.: Load leveling reduces T&D line losses. IEEE Trans. Power Delivery 23, 2168–2173 (2008)

    Article  Google Scholar 

  7. Mears, L., Gotschall, H.: Handbook of Energy Storage for Transmission and Distribution Applications. EPRI, DOE, Palo Alto, CA, Washington (2003)

    Google Scholar 

  8. Lo, C.H., Anderson, M.D.: Economic dispatch and optimal sizing of battery energy storage systems in utility load-leveling. IEEE Trans. Energy Convers 14, 824–829 (1999)

    Article  Google Scholar 

  9. Lu, B., Shahidehpour, M.: Short-term scheduling of battery in a grid-connected PV/battery system. IEEE Trans. Power Syst. 20, 1053–1061 (2005)

    Article  Google Scholar 

  10. Palanichamy, C., Babu, N.S.: Day-night weather-based economic power dispatch. IEEE Trans. Power Syst. 17, 469–475 (2002)

    Article  Google Scholar 

  11. Ter-Gazarian, A.: Energy storage for power systems. Institution of Engineering and Technology, Peter Peregrinus Ltd., London (2007)

    Google Scholar 

  12. Divya, K.C., Østergaard, J.: Battery energy storage technology for power systems-an overview. Elec. Power Syst. Res. 79, 511–520 (2009)

    Article  Google Scholar 

  13. Huang, K.L., Li, X., Liu, S., Tan, N., Chen, L.: Research progress of vanadium redox flow battery for energy storage in China. Renewable Energy 33, 186–192 (2008)

    Article  Google Scholar 

  14. Kaiser, R.: Optimized battery-management system to improve storage life-time in renewable energy systems. J. Power Sources 168, 58–65 (2007)

    Article  Google Scholar 

  15. Saadat, H.: Power system analysis. McGraw-Hill, WCB (2004)

    Google Scholar 

  16. Zhang, J., Huang, T., Zhang, H.: The reactive power optimization of distribution network based on an improved genetic algorithm. In: Proc. of the IEEE Transmission and Distribution Conference and Exhibition (2005)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Falaghi, H., Mahmooee, M.K. (2012). Power System Emission Control Using Electrical Energy Storage Systems. In: Wang, L. (eds) Modeling and Control of Sustainable Power Systems. Green Energy and Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22904-6_7

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  • DOI: https://doi.org/10.1007/978-3-642-22904-6_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22903-9

  • Online ISBN: 978-3-642-22904-6

  • eBook Packages: EngineeringEngineering (R0)

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