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Analytical Approach Optimal Sizing and Time Scheduling of ESS Charging-Discharging Energy in Distribution Networks

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Emerging Trends in Electrical, Communications, and Information Technologies

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 569))

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Abstract

The paper illustrates analytical approach to integrate a hybrid PV-ESS unit for lowering energy losses and increasing voltage profile of distribution network and for optimal sizing and time scheduling of charging/discharging of Energy Storage System (ESS) which is integrated in distribution networks. The conceptual design and modeling of solar-PV unit, ESS unit and hybrid PV-ESS unit has been introduced to get individual unit sizes from hybrid PV-ESS unit. This approach makes non-dispatchable PV unit into a dispachable unit with a hybrid PV-ESS unit. Multi objective index, MOI based analytical terms have been developed to find the optimal size of hybrid unit (PV-ESS). This analytical approach was tested on IEEE-33 test system to obtain the performance characteristics: system losses, annual energy losses and voltage profile of distribution network with hybrid PV-ESS unit and to get optimal size of Energy storage system (ESS) and schedule of charging/discharging energy during a day cycle.

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References

  1. Khatod DK, Pant V, Sharma J (2013) Evolutionary programming based optimal placement of renewable distributed generators. IEEE Trans Power Syst 28(2):683–695. https://doi.org/10.1109/tpwrs.2012.2211044

    Article  Google Scholar 

  2. Teng JH, Luan SW, Lee DJ, Huang YQ (2013) Optimal charging/discharging scheduling of battery storage systems for distribution systems interconnected with sizeable PV generation systems. IEEE Trans Power Syst 28(2):1425–1433. https://doi.org/10.1109/tpwrs.2012.2230276

    Article  Google Scholar 

  3. Fossati JP, Galarza A, Martin A, Fontan L (2015, May) A method for optimal sizing energy storage system for micro grids. Renew Energy 77:539–549. Elsevier. https://doi.org/10.1016/j.renene2014.12.039

  4. Soroudi A, Aien M, Ehsan M (2012) A probabilistic modeling of photo voltaic modules and wind power generation impact on distribution networks. IEEE Syst J 6(2):254–259. https://doi.org/10.1109/jsyst.2011.2162994

    Article  Google Scholar 

  5. Gabash A, Pu L (2012) Active-reactive optimal power flow in distribution networks with embedded generation and battery storage. IEEE Trans Power Syst 27(4):2026–2035. https://doi.org/10.1109/tpwrs.2012.2187315

    Article  Google Scholar 

  6. Chen SX, Gooi HB, Wang MQ (2012, March) Sizing of energy storage for microgrids. IEEE Trans Smart Grid 3(1)

    Article  Google Scholar 

  7. IEEE guide for design, operation, and integration of distributed resource island systems with electric power systems, IEEE Std. 1547.4-2011, 2011

    Google Scholar 

  8. El-Zonkoly AM (2011) Optimal placement of multi-distributed generation units including different load models using particle swarm optimisation. IET Gener Trans Distrib 5(7):760–771. https://doi.org/10.1049/iet-gtd.2010.0676

    Article  Google Scholar 

  9. Chen SX, Gooi HB, Wang MQ (2012) Sizing of energy storage for microgrids. IEEE Trans Smart Grid 3(1):142–151. https://doi.org/10.1109/tsg.2011.2160745

    Article  Google Scholar 

  10. Atwa YM, El-Saadany EF, Salama MMA, Seethapathy R (2010) Optimal renewable resources mix for distribution system energy loss minimization. IEEE Trans Power Syst 25 (1):360–370. https://doi.org/10.1109/tpwrs.2009.2030276

    Article  Google Scholar 

  11. Singh D, Verma KS (2009) Multiobjective optimization for DG planning with load models. IEEE Trans Power Syst 24(1):427–436. https://doi.org/10.1109/TPWRS.2008.2009483

    Article  Google Scholar 

  12. Atwa YM, El-Saadany EF (2010, November) Optimal allocation of ESS in distribution systems with a high penetration of wind energy. IEEE Trans Powersyst 25(4)

    Article  Google Scholar 

  13. Ochoa LF, Padilha-Feltrin A, Harrison GP (2008) Evaluating distributed time-varying generation through a multiobjective index. IEEE Trans Power Deliv 23(2):1132–1138. https://doi.org/10.1109/tpwrd.2008.915791

    Article  Google Scholar 

  14. Ochoa LF, Padilha-Feltrin A, Harrison GP (2006) Evaluating distributed generation impacts with a multiobjective index. IEEE Trans Power Deliv 21(3):1452–1458. https://doi.org/10.1109/tpwrd.2005.860262

    Article  Google Scholar 

  15. Casper SG, Nwankpa CO, Bradish RW, Chiang H-D, Concordia C, Staron JV, Taylor CW, Vaahedi E, Wu G (1995) Bibliography on load models for power flow and dynamic performance simulation. IEEE Trans Power Syst 10(1):523–538. https://doi.org/10.1109/59.373979

  16. Enabling tomorrow’s electricity system: report of the Ontario Smart Grid Forum. http://www.ieso.ca/MOIweb/pubs/smart_grid/Smart_Grid_Forum-Report.pdf

  17. SolarAnywhere. https://solaranywhere.com/

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Author information

Authors and Affiliations

  1. KLEF, Guntur, India

    Gadaram Meerimatha & B. Loveswararao

  2. Department of EEE, SRIT, Anantapuramu, India

    Gadaram Meerimatha

  3. Department of EEE, Vaddeswaram, Vijayawada, India

    B. Loveswararao

Authors
  1. Gadaram Meerimatha
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  2. B. Loveswararao
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Corresponding author

Correspondence to Gadaram Meerimatha .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Srinivasa Ramanujan Institute of Technology, Anantapur, Andhra Pradesh, India

    T. Hitendra Sarma

  2. Department of Electrical Engineering, JNTUA College of Engineering, Ananthapuramu, Andhra Pradesh, India

    V. Sankar

  3. Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam, India

    Rafi Ahamed Shaik

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Meerimatha, G., Loveswararao, B. (2020). Analytical Approach Optimal Sizing and Time Scheduling of ESS Charging-Discharging Energy in Distribution Networks. In: Hitendra Sarma, T., Sankar, V., Shaik, R. (eds) Emerging Trends in Electrical, Communications, and Information Technologies. Lecture Notes in Electrical Engineering, vol 569. Springer, Singapore. https://doi.org/10.1007/978-981-13-8942-9_32

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  • DOI: https://doi.org/10.1007/978-981-13-8942-9_32

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-8941-2

  • Online ISBN: 978-981-13-8942-9

  • eBook Packages: EngineeringEngineering (R0)

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