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The Optimal Allocation and Operation of an Energy Storage System with High Penetration Grid-Connected Photovoltaic Systems

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  • Hui Wang

    (School of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China
    Both authors contributed equally to this work.)

  • Jun Wang

    (School of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China
    Both authors contributed equally to this work.)

  • Zailin Piao

    (School of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China)

  • Xiaofang Meng

    (School of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China)

  • Chao Sun

    (State Grid Yingkou Power Supply Company, Yingkou 115000, China)

  • Gang Yuan

    (School of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China)

  • Sitong Zhu

    (School of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China)

Abstract

High-penetration grid-connected photovoltaic (PV) systems can lead to reverse power flow, which can cause adverse effects, such as voltage over-limits and increased power loss, and affect the safety, reliability and economic operations of the distribution network. Reasonable energy storage optimization allocation and operation can effectively mitigate these disadvantages. In this paper, the optimal location, capacity and charge/discharge strategy of the energy storage system were simultaneously performed based on two objective functions that include voltage deviations and active power loss. The membership function and weighting method were used to combine the two objectives into a single objective. An energy storage optimization model for a distribution network considering PV and load power temporal changes was thus established, and the improved particle swarm optimization algorithm was utilized to solve the problem. Taking the Institute of Electrical and Electronic Engineers (IEEE)-33 bus system as an example, the optimal allocation and operation of the energy storage system was realized for the access of high penetration single-point and multi-point PV systems in the distribution network. The results of the power flow optimization in different scenarios were compared. The results show that using the proposed approach can improve the voltage quality, reduce the power loss, and reduce and smooth the transmission power of the upper-level grid.

Suggested Citation

  • Hui Wang & Jun Wang & Zailin Piao & Xiaofang Meng & Chao Sun & Gang Yuan & Sitong Zhu, 2020. "The Optimal Allocation and Operation of an Energy Storage System with High Penetration Grid-Connected Photovoltaic Systems," Sustainability, MDPI, vol. 12(15), pages 1-22, July.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:15:p:6154-:d:392331
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    References listed on IDEAS

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    2. Suprava Chakraborty & Sumit Verma & Aprajita Salgotra & Rajvikram Madurai Elavarasan & Devaraj Elangovan & Lucian Mihet-Popa, 2021. "Solar-Based DG Allocation Using Harris Hawks Optimization While Considering Practical Aspects," Energies, MDPI, vol. 14(16), pages 1-26, August.
    3. Md. Shouquat Hossain & Naseer Abboodi Madlool & Ali Wadi Al-Fatlawi & Mamdouh El Haj Assad, 2023. "High Penetration of Solar Photovoltaic Structure on the Grid System Disruption: An Overview of Technology Advancement," Sustainability, MDPI, vol. 15(2), pages 1-25, January.
    4. Ting Wang & Qiya Wang & Caiqing Zhang, 2021. "Research on the Optimal Operation of a Novel Renewable Multi-Energy Complementary System in Rural Areas," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    5. Ruonan Hu & Wei Wang & Zhe Chen & Xuezhi Wu & Long Jing & Wei Ma & Guohong Zeng, 2020. "Coordinated Voltage Regulation Methods in Active Distribution Networks with Soft Open Points," Sustainability, MDPI, vol. 12(22), pages 1-18, November.
    6. Ahmed A. Alguhi & Majed A. Alotaibi & Essam A. Al-Ammar, 2023. "Probabilistic Planning for an Energy Storage System Considering the Uncertainties in Smart Distribution Networks," Sustainability, MDPI, vol. 16(1), pages 1-23, December.

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