IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v14y2023i5d10.1007_s13198-023-02016-w.html
   My bibliography  Save this article

Optimal placement and sizing of BESS in RES integrated distribution systems

Author

Listed:
  • Mohan Chaitanya Barla

    (National Institute of Technology Nagalad)

  • Dipu Sarkar

    (National Institute of Technology Nagalad)

Abstract

This article describes a method to optimally allocate and size Battery Energy Storage System (BESS) to mitigate the costs incurred due to voltage deviation and power losses in a Renewable Energy Sources (RES) integrated Distribution Network. The optimum placement and sizing of BESS in RES connected distribution network is calculated by using a novel metaheuristic and nature inspired method called water cycle algorithm (WCA). The WCA influenced by the process of water sequence and the actions of rivers and their flows on the way to sea. Results are displayed for the application of proposed WCA optimization technique on IEEE 33 bus distribution system and IEEE 43 bus distribution network. Consequently the results come up with a considerable reduction in voltage deviations, power losses which were obtained with the installation of BESS units in a Distribution system using WCA. Besides, the proposed technique achieved the good results with less computational time. The results obtained from WCA are validated with GA, PSO and GSA. The outcomes disclose the efficacy and dominance of the WCA over GA, PSO and GSA.

Suggested Citation

  • Mohan Chaitanya Barla & Dipu Sarkar, 2023. "Optimal placement and sizing of BESS in RES integrated distribution systems," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(5), pages 1866-1876, October.
  • Handle: RePEc:spr:ijsaem:v:14:y:2023:i:5:d:10.1007_s13198-023-02016-w
    DOI: 10.1007/s13198-023-02016-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-023-02016-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s13198-023-02016-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ahmed Alzahrani & Hussain Alharthi & Muhammad Khalid, 2019. "Minimization of Power Losses through Optimal Battery Placement in a Distributed Network with High Penetration of Photovoltaics," Energies, MDPI, vol. 13(1), pages 1-16, December.
    2. Nathphol Khaboot & Chitchai Srithapon & Apirat Siritaratiwat & Pirat Khunkitti, 2019. "Increasing Benefits in High PV Penetration Distribution System by Using Battery Enegy Storage and Capacitor Placement Based on Salp Swarm Algorithm," Energies, MDPI, vol. 12(24), pages 1-20, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bartłomiej Mroczek & Paweł Pijarski, 2022. "Machine Learning in Operating of Low Voltage Future Grid," Energies, MDPI, vol. 15(15), pages 1-30, July.
    2. Samar Fatima & Verner Püvi & Ammar Arshad & Mahdi Pourakbari-Kasmaei & Matti Lehtonen, 2021. "Comparison of Economical and Technical Photovoltaic Hosting Capacity Limits in Distribution Networks," Energies, MDPI, vol. 14(9), pages 1-23, April.
    3. Andrei M. Tudose & Dorian O. Sidea & Irina I. Picioroaga & Nicolae Anton & Constantin Bulac, 2023. "Increasing Distributed Generation Hosting Capacity Based on a Sequential Optimization Approach Using an Improved Salp Swarm Algorithm," Mathematics, MDPI, vol. 12(1), pages 1-21, December.
    4. Felipe J. Zimann & Eduardo V. Stangler & Francisco A. S. Neves & Alessandro L. Batschauer & Marcello Mezaroba, 2020. "Coordinated Control of Active and Reactive Power Compensation for Voltage Regulation with Enhanced Disturbance Rejection Using Repetitive Vector-Control," Energies, MDPI, vol. 13(11), pages 1-18, June.
    5. Nien-Che Yang & Yong-Chang Zhang & Eunike Widya Adinda, 2022. "Sizing and Sitting of Battery Energy Storage Systems in Distribution Networks with Transient Stability Consideration," Mathematics, MDPI, vol. 10(19), pages 1-25, September.
    6. Phiraphat Antarasee & Suttichai Premrudeepreechacharn & Apirat Siritaratiwat & Sirote Khunkitti, 2022. "Optimal Design of Electric Vehicle Fast-Charging Station’s Structure Using Metaheuristic Algorithms," Sustainability, MDPI, vol. 15(1), pages 1-22, December.
    7. Panyawoot Boonluk & Sirote Khunkitti & Pradit Fuangfoo & Apirat Siritaratiwat, 2021. "Optimal Siting and Sizing of Battery Energy Storage: Case Study Seventh Feeder at Nakhon Phanom Substation in Thailand," Energies, MDPI, vol. 14(5), pages 1-20, March.
    8. Meysam Shamshiri & Chin Kim Gan & Junainah Sardi & Mau Teng Au & Wei Hown Tee, 2020. "Design of Battery Storage System for Malaysia Low Voltage Distribution Network with the Presence of Residential Solar Photovoltaic System," Energies, MDPI, vol. 13(18), pages 1-20, September.
    9. Sirote Khunkitti & Apirat Siritaratiwat & Suttichai Premrudeepreechacharn, 2021. "Multi-Objective Optimal Power Flow Problems Based on Slime Mould Algorithm," Sustainability, MDPI, vol. 13(13), pages 1-21, July.
    10. Nurul Hiron & Nundang Busaeri & Sutisna Sutisna & Nurmela Nurmela & Aceng Sambas, 2021. "Design of Hybrid (PV-Diesel) System for Tourist Island in Karimunjawa Indonesia," Energies, MDPI, vol. 14(24), pages 1-24, December.
    11. Magdalena Bartecka & Grazia Barchi & Józef Paska, 2020. "Time-Series PV Hosting Capacity Assessment with Storage Deployment," Energies, MDPI, vol. 13(10), pages 1-20, May.
    12. Qiang Zhou & Jianmei Zhang & Pengfei Gao & Ruixiao Zhang & Lijuan Liu & Sheng Wang & Lin Cheng & Wei Wang & Shiyou Yang, 2023. "Two-Stage Robust Optimization for Prosumers Considering Uncertainties from Sustainable Energy of Wind Power Generation and Load Demand Based on Nested C&CG Algorithm," Sustainability, MDPI, vol. 15(12), pages 1-23, June.
    13. Supanat Chamchuen & Apirat Siritaratiwat & Pradit Fuangfoo & Puripong Suthisopapan & Pirat Khunkitti, 2021. "High-Accuracy Power Quality Disturbance Classification Using the Adaptive ABC-PSO as Optimal Feature Selection Algorithm," Energies, MDPI, vol. 14(5), pages 1-18, February.
    14. Hameed, Zeenat & Hashemi, Seyedmostafa & Ipsen, Hans Henrik & Træholt, Chresten, 2021. "A business-oriented approach for battery energy storage placement in power systems," Applied Energy, Elsevier, vol. 298(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:14:y:2023:i:5:d:10.1007_s13198-023-02016-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.