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Battery Energy Storage System for Solar PV and Wind Power Smoothing Considering Economic Aspects

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Applications of Computing, Automation and Wireless Systems in Electrical Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 553))

Abstract

This paper introduces an avant-garde method to minimize the uncertainty in power output of a hybrid PV and wind plant (HPW) with the help of BESS which stores excess power generated and supplies the load when the renewable power generated is insufficient. Hence, BESS, in a way, smoothes the HPW power output. Here, the simulation was carried out for an IEEE-RBTS basic system to optimize the size of the solar PV arrays, wind turbine and BESS so that obtained annual cost benefit would be maximized. For cost benefit analysis of the system, economic loss as a result of electricity outage and BESS costs were taken into account.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Indira Gandhi Institute of Technology, Sarang, Dhenkanal, 759146, Odisha, India

    Chinmay Kumar Nayak

  2. Department of Electrical Engineering, Biju Patnaik University of Technology, Rourkela, 769015, Odisha, India

    Manas Ranjan Nayak

Authors
  1. Chinmay Kumar Nayak
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  2. Manas Ranjan Nayak
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Corresponding author

Correspondence to Chinmay Kumar Nayak .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Technology Delhi , New Delhi, Delhi, India

    Sukumar Mishra

  2. Department of Electrical Engineering , National Institute of Technology, Hamirpur, Himachal Pradesh, India

    Yog Raj Sood

  3. JSS Academy of Technical Education, Noida, Uttar Pradesh, India

    Anuradha Tomar

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Nayak, C.K., Nayak, M.R. (2019). Battery Energy Storage System for Solar PV and Wind Power Smoothing Considering Economic Aspects. In: Mishra, S., Sood, Y., Tomar, A. (eds) Applications of Computing, Automation and Wireless Systems in Electrical Engineering. Lecture Notes in Electrical Engineering, vol 553. Springer, Singapore. https://doi.org/10.1007/978-981-13-6772-4_15

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  • DOI: https://doi.org/10.1007/978-981-13-6772-4_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6771-7

  • Online ISBN: 978-981-13-6772-4

  • eBook Packages: EngineeringEngineering (R0)

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