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Stochastic Expansion Planning of Various Energy Storage Technologies in Active Power Distribution Networks

Author

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  • Reza Sabzehgar

    (Department of Electrical and Computer Engineering, San Diego State University, San Diego, CA 92182, USA)

  • Diba Zia Amirhosseini

    (Department of Electrical and Computer Engineering, San Diego State University, San Diego, CA 92182, USA)

  • Saeed D. Manshadi

    (Department of Electrical and Computer Engineering, San Diego State University, San Diego, CA 92182, USA)

  • Poria Fajri

    (Department of Electrical and Biomedical Engineering, University of Nevada Reno, Reno, NV 89557, USA)

Abstract

This work aims to minimize the cost of installing renewable energy resources (photovoltaic systems) as well as energy storage systems (batteries), in addition to the cost of operation over a period of 20 years, which will include the cost of operating the power grid and the charging and discharging of the batteries. To this end, we propose a long-term planning optimization and expansion framework for a smart distribution network. A second order cone programming (SOCP) algorithm is utilized in this work to model the power flow equations. The minimization is computed in accordance to the years ( y ), seasons ( s ), days of the week ( d ), time of the day ( t ), and different scenarios based on the usage of energy and its production ( c ). An IEEE 33-bus balanced distribution test bench is utilized to evaluate the performance, effectiveness, and reliability of the proposed optimization and forecasting model. The numerical studies are conducted on two of the highest performing batteries in the current market, i.e., Lithium-ion (Li-ion) and redox flow batteries (RFBs). In addition, the pros and cons of distributed Li-ion batteries are compared with centralized RFBs. The results are presented to showcase the economic profits of utilizing these battery technologies.

Suggested Citation

  • Reza Sabzehgar & Diba Zia Amirhosseini & Saeed D. Manshadi & Poria Fajri, 2021. "Stochastic Expansion Planning of Various Energy Storage Technologies in Active Power Distribution Networks," Sustainability, MDPI, vol. 13(10), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:10:p:5752-:d:558808
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    References listed on IDEAS

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    1. Seyed Abbas Taher & Seyed Ahmadreza Afsari, 2012. "Optimal Location and Sizing of UPQC in Distribution Networks Using Differential Evolution Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2012, pages 1-20, August.
    2. Mohammadshayan Latifi & Reza Sabzehgar & Poria Fajri & Mohammad Rasouli, 2021. "A Novel Control Strategy for the Frequency and Voltage Regulation of Distribution Grids Using Electric Vehicle Batteries," Energies, MDPI, vol. 14(5), pages 1-16, March.
    3. Christoph Goebel & Vicky Cheng & Hans-Arno Jacobsen, 2017. "Profitability of Residential Battery Energy Storage Combined with Solar Photovoltaics," Energies, MDPI, vol. 10(7), pages 1-17, July.
    4. Marczinkowski, Hannah Mareike & Østergaard, Poul Alberg, 2018. "Residential versus communal combination of photovoltaic and battery in smart energy systems," Energy, Elsevier, vol. 152(C), pages 466-475.
    5. Carroquino, Javier & Roda, Vicente & Mustata, Radu & Yago, Jesús & Valiño, Luis & Lozano, Antonio & Barreras, Félix, 2018. "Combined production of electricity and hydrogen from solar energy and its use in the wine sector," Renewable Energy, Elsevier, vol. 122(C), pages 251-263.
    6. Burak Kocuk & Santanu S. Dey & X. Andy Sun, 2016. "Strong SOCP Relaxations for the Optimal Power Flow Problem," Operations Research, INFORMS, vol. 64(6), pages 1177-1196, December.
    7. Li, Chun-Hua & Zhu, Xin-Jian & Cao, Guang-Yi & Sui, Sheng & Hu, Ming-Ruo, 2009. "Dynamic modeling and sizing optimization of stand-alone photovoltaic power systems using hybrid energy storage technology," Renewable Energy, Elsevier, vol. 34(3), pages 815-826.
    8. Rui Xiong & Hongwen He & Fengchun Sun & Kai Zhao, 2012. "Online Estimation of Peak Power Capability of Li-Ion Batteries in Electric Vehicles by a Hardware-in-Loop Approach," Energies, MDPI, vol. 5(5), pages 1-15, May.
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    Cited by:

    1. Rastgou, Abdollah, 2024. "Distribution network expansion planning: An updated review of current methods and new challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    2. Sergio Pires Pimentel & Marcelo Nogueira Bousquet & Tiago Alves Barros Rosa & Leovir Cardoso Aleluia Junior & Enes Goncalves Marra & Jose Wilson Lima Nerys & Luciano Coutinho Gomes, 2025. "A Systematic Literature Review on Li-Ion BESSs Integrated with Photovoltaic Systems for Power Supply to Auxiliary Services in High-Voltage Power Stations," Energies, MDPI, vol. 18(13), pages 1-38, July.

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