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Battery Energy Storage for Photovoltaic Application in South Africa: A Review

Author

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  • Bonginkosi A. Thango

    (Department of Electrical and Electronic Engineering Technology, University of Johannesburg, Johannesburg 2028, South Africa)

  • Pitshou N. Bokoro

    (Department of Electrical and Electronic Engineering Technology, University of Johannesburg, Johannesburg 2028, South Africa)

Abstract

Despite the significant slowdown of economic activity in South Africa by virtue of the COVID-19 outbreak, load shedding or scheduled power outages remained at a high level. The trend of rising load-shedding hours has persisted throughout most of the year 2022. Operational issues within the South African power utility inflamed the unpredictable nature of generation capacity, resulting in unscheduled outages at several generating units, mostly due to multiple breakdowns. To forestall substantial spikes in energy costs, an increasing number of enterprises and homeowners have started to gradually adopt renewable energy technologies to sustain their operational demand. Therefore, there is an increase in the exploration and investment of battery energy storage systems (BESS) to exploit South Africa’s high solar photovoltaic (PV) energy and help alleviate production losses related to load-shedding-induced downtime. As a result, the current work presents a comprehensive and consequential review conducted on the BESS specifically for solar PV application and in the South African context. The research investigations carried out on BESS for PV application are crucially examined, drawing attention to their capacities, shortcomings, constraints, and prospects for advancement. This investigation probed several areas of interest where the BESS-PV scheme is adopted, viz., choice of battery technology, mitigating miscellaneous power quality problems, optimal power system control, peak load shaving, South African BESS market and status of some Real BESS-PV projects. The techno-economic case scenario has been proposed in the current research and results yield that lithium-ion batteries are more viable than Lead–acid batteries.

Suggested Citation

  • Bonginkosi A. Thango & Pitshou N. Bokoro, 2022. "Battery Energy Storage for Photovoltaic Application in South Africa: A Review," Energies, MDPI, vol. 15(16), pages 1-21, August.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:16:p:5962-:d:890844
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    References listed on IDEAS

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    1. Diego Mejía-Giraldo & Gregorio Velásquez-Gomez & Nicolás Muñoz-Galeano & Juan Bernardo Cano-Quintero & Santiago Lemos-Cano, 2019. "A BESS Sizing Strategy for Primary Frequency Regulation Support of Solar Photovoltaic Plants," Energies, MDPI, vol. 12(2), pages 1-16, January.
    2. Mararakanye, Ndamulelo & Bekker, Bernard, 2019. "Renewable energy integration impacts within the context of generator type, penetration level and grid characteristics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 441-451.
    3. Agyenim, Francis & Hewitt, Neil & Eames, Philip & Smyth, Mervyn, 2010. "A review of materials, heat transfer and phase change problem formulation for latent heat thermal energy storage systems (LHTESS)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 615-628, February.
    4. Rana, Md Masud & Romlie, Mohd Fakhizan & Abdullah, Mohd Faris & Uddin, Moslem & Sarkar, Md Rasel, 2021. "A novel peak load shaving algorithm for isolated microgrid using hybrid PV-BESS system," Energy, Elsevier, vol. 234(C).
    5. Korjani, Saman & Casu, Fabio & Damiano, Alfonso & Pilloni, Virginia & Serpi, Alessandro, 2022. "An online energy management tool for sizing integrated PV-BESS systems for residential prosumers," Applied Energy, Elsevier, vol. 313(C).
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    Cited by:

    1. Virgilio Alfonso Murillo Rodríguez & Noé Villa Villaseñor & José Manuel Robles Solís & Omar Alejandro Guirette Barbosa, 2023. "Impact of Automation on Enhancing Energy Quality in Grid-Connected Photovoltaic Systems," Energies, MDPI, vol. 16(17), pages 1-25, August.
    2. Diego Jose da Silva & Edmarcio Antonio Belati & Jesús M. López-Lezama, 2023. "A Mathematical Programming Approach for the Optimal Operation of Storage Systems, Photovoltaic and Wind Power Generation," Energies, MDPI, vol. 16(3), pages 1-24, January.
    3. Djamila Rekioua, 2023. "Energy Storage Systems for Photovoltaic and Wind Systems: A Review," Energies, MDPI, vol. 16(9), pages 1-26, May.
    4. Jordan Radosavljević & Aphrodite Ktena & Milena Gajić & Miloš Milovanović & Jovana Živić, 2023. "Dynamic Optimal Power Dispatch in Unbalanced Distribution Networks with Single-Phase Solar PV Units and BESS," Energies, MDPI, vol. 16(11), pages 1-19, May.

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