Grey wolf optimizer for energy storage system placement and operation in distribution networks with soft open points

https://doi.org/10.31130/ud-jst.2025.23(9D).565E

Tóm tắt: 152 | PDF: 73

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Author

  • Thanh-Hoan Nguyen
    Ho Chi Minh Power Corporation (EVNHCMC), Ho Chi Minh City, Vietnam; Hochiminh City University of Technology and Education, Ho Chi Minh City, Vietnam
    Viet-Anh Truong
    Hochiminh City University of Technology and Education, Ho Chi Minh City, Vietnam
    Huu-Vinh Nguyen
    Ho Chi Minh Power Corporation (EVNHCMC), Ho Chi Minh City, Vietnam
    Kim-Hung Le
    The University of Danang - University of Science and Technology, Vietnam

Từ khóa:

Grey Wolf Optimizer (GWO)
Energy Storage System (ESS)
Photovoltaic (PV)
Soft Open Points (SOPs)
Distribution networks
Optimization operational costs

Tóm tắt

In the context of the green energy transition and the advancement of smart grids, the optimization problem involving the integration of photovoltaic (PV) systems and Energy Storage Systems (ESS) into power grids has attracted significant research interest. This paper presents an optimization framework for integrating Energy Storage Systems (ESS) and photovoltaic (PV) systems into a distribution network comprising two interconnected IEEE 33-bus systems linked by Soft Open Points (SOPs). The objective is to minimize operational costs, including power purchase expenses and PV generation revenue, while optimizing SOP power flows. A Grey Wolf Optimizer (GWO) algorithm determines optimal ESS placement, sizing, charge/discharge schedules, and SOP power flows over 24 hours, outperforming Multi-Verse Optimizer (MVO) and Harris Hawks Optimization (HHO). Constraints include power balance, ESS operational limits, SOP power boundaries, and fixed network configuration. Convergence analysis and SOP power profiles demonstrate the framework’s effectiveness in enhancing distribution system efficiency.

Tài liệu tham khảo

    [1] P. Li et al., “Optimal operation of distribution networks with SOPs”, IEEE Trans. Smart Grid, vol. 11, no. 3, pp. 2145-2155, 2020.
    [2] Z. Yang et al., “Optimal placement of energy storage systems in active distribution networks”, IEEE Trans. Sustain. Energy, vol. 12, no. 1, pp. 345-356, 2021.
    [3] Y. Zhang et al., “Energy storage systems for renewable energy integration in smart grids”, Renewable Energy, vol. 158, pp. 123-134, 2020.
    [4] X. Wang et al., “Coordinated planning of ESS and renewables in microgrids”, Energy Convers. Manag., vol. 225, pp. 113452, 2020.
    [5] J. Liu et al., “SOP-based power flow management in distribution networks”, IEEE Trans. Power Syst., vol. 35, no. 4, pp. 2876-2886, 2020.
    [6] H. Ji et al., “Optimal operation of SOPs in flexible distribution networks”, Int. J. Electr. Power Energy Syst., vol. 121, pp. 106104, 2020.
    [7] C. Zhang et al., “SOP-enabled energy management in active distribution systems”, IEEE Trans. Ind. Informat., vol. 17, no. 5, pp. 3245-3255, 2021.
    [8] W. Cao et al., “Soft open points for dynamic power flow control”, Appl. Energy, vol. 279, pp. 115897, 2020.
    [9] S. Huang et al., “Metaheuristic optimization for ESS placement in distribution networks”, Energy, vol. 208, pp. 118346, 2020.
    [10] Q. Zhang et al., “Optimal sizing and placement of ESS in smart grids”, IEEE Trans. Power Deliv., vol. 36, no. 2, pp. 987-997, 2021.
    [11] M. Nick et al., “Optimization of ESS and SOPs in distribution systems”, IEEE Trans. Smart Grid, vol. 12, no. 4, pp. 2987-2998, 2021.
    [12] Y. Li et al., “An Improved Gray Wolf Optimization Algorithm to Solve Engineering Problems”, Open Access, vol. 13, no. 6, pp. 3208, 2021, https://doi.org/10.3390/su13063208.
    [13] A. Askarzadeh, “A novel metaheuristic method for solving constrained engineering problems”, Comput. Struct., vol. 169, pp. 1-12, 2020.
    [14] H. Zhang et al., “Nature-inspired optimization algorithms for power systems”, Energy Rep., vol. 6, pp. 1352-1366, 2020.
    [15] S. Sharma et al., “GWO for energy management in smart grids”, Int. J. Electr. Power Energy Syst., vol. 125, pp. 106456, 2021.
    [16] R. Gupta et al., “Enhanced Grey Wolf Optimizer for power system applications”, IEEE Access, vol. 9, pp. 12345-12356, 2021.
    [17] K. Kumar et al., “GWO-based optimization of ESS in microgrids”, Renewable Energy, vol. 172, pp. 567-578, 2021.
    [18] A. A. Heidari et al., “Harris Hawks Optimization: Algorithm and applications”, Future Gener. Comput. Syst., vol. 97, pp. 849-872, 2019.
    [19] S. Mirjalili et al., “Multi-Verse Optimizer for power system optimization”, Energy Syst., vol. 11, no. 3, pp. 645-667, 2020.
    [20] T. Nguyen et al., “Comparative study of metaheuristic algorithms for ESS optimization”, Appl. Soft Comput., vol. 103, pp. 107176, 2021.
    [21] L. Chen et al., “Nonlinear optimization for smart grid energy management”, IEEE Trans. Ind. Electron., vol. 68, no. 7, pp. 6123-6133, 2021.
    [22] F. Wang et al., “Metaheuristic-based energy storage optimization”, Energy Convers. Manag., vol. 242, pp. 114297, 2021.
    [23] B. Venkatesh et al., “Optimal power flow with ESS and SOPs”, IEEE Trans. Power Syst., vol. 36, no. 5, pp. 4123-4133, 2021.
    [24] J. Kim et al., “Advanced metaheuristic algorithms for smart grid optimization”, Energy, vol. 239, pp. 122345, 2022.
    [25] R. Li et al., “Smart grid optimization with renewable energy and ESS”, IEEE Trans. Sustain. Energy, vol. 13, no. 1, pp. 456-467, 2022.
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Sep 30, 2025
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Cách trích dẫn
Nguyen, T.-H., V.-A. Truong, H.-V. Nguyen, và K.-H. Le. “Grey Wolf Optimizer for Energy Storage System Placement and Operation in Distribution Networks With Soft Open Points”. Tạp Chí Khoa học Và Công nghệ - Đại học Đà Nẵng, vol 23, số p.h 9D, Tháng Chín 2025, tr 60-65, doi:10.31130/ud-jst.2025.23(9D).565E.

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