Author(s)

Yuan Ma^1*, JingYu Zhao²

Affiliation(s)

¹State Grid Energy Research Institute Co., Ltd., Beijing 102209, China.

²State Grid Talents Exchange And Service Center Company Limited, Beijing 100089, China.

Corresponding Author

Yuan Ma

ABSTRACT

Aiming at the problem of source-load imbalance in the microgrid connected to wind and solar energy, this paper proposes an energy storage capacity allocation method based on dynamic correction of source-load matching. Firstly, the source-load matching index of the fusion time series trend similarity and power deviation is constructed to evaluate the correction direction and amplitude of the energy storage capacity of the system. Secondly, a basic model of energy storage configuration with the goal of minimizing the average daily planning cost is established, and the energy storage configuration results are corrected by using the source-load matching degree: the energy storage capacity is increased for the system with poor matching degree to improve stability, and the capacity of the system with good matching degree is reduced to reduce the cost. The example shows that the proposed method can significantly improve the problem of reverse peak shaving and effectively optimize the investment cost.

KEYWORDS

Microgrid; Source-load matching; Wind and solar energy; Capacity allocation

CITE THIS PAPER

Yuan Ma, JingYu Zhao. Energy storage capacity allocation of microgrids with wind and solar energy based on source-load matching. World Journal of Engineering Research. 2025, 3(3): 73-79. DOI: https://doi.org/10.61784/wjer3041.

REFERENCES

[1] Meng X, Zhang S, Liu H, et al. A method of energy storage capacity planning to achieve the target consumption of renewable energy. Journal of Energy Storage, 2024, 97: 112993.

[2] Wan J, Su H, Feng D, et al. Analysis and Evaluation of the Complementarity Characteristics of Wind and Photovoltaic Considering Source-load Matching. Power System Technology, 2020, 44(09): 3219-3226.

[3] Maga?a-González R C, Rodríguez-Hernández O, Canul-Reyes D A. Analysis of seasonal variability and complementarity of wind and solar resources in Mexico. Sustainable Energy Technologies and Assessments, 2023, 60: 103456.

[4] Rao Z, Yang Z, Wang Y, et al. An optimal configuration method for regional large-scale composite power stations based on source-load matching. Acta Energiae Solaris Sinica, 2024, 45(08): 190-199.

[5] Uddin M, Mo H, Dong D, et al. Techno-economic potential of multi-energy community microgrid: The perspective of Australia. Renewable Energy, 2023, 219: 119544.

[6] Yin R, Sun P, Lu H. Technical and Economic Research on Energy Storage Capacity Allocation of PV Power Station and Wind Farm. Shanghai Energy Conservation, 2022, (02): 192-203

[7] Miao Y, Yang X, Lu Z, et al. Research on low-carbon economic dispatch method of distribution network considering carbon trading and source-load interaction. Electrical Automation, 2025, 47(02): 32-35+39.

[8] Xu Q, Wang J, Qiao S, et al. Planning and Operation Joint Optimization Method for Wind, Solar,and Energy Storage Capacity in Regional Power Grids Considering Source Load Matching. Electric Power Construction, 2024, 45(08): 85-96.

[9] Anees H M, Kazmi S A A, Naqvi M, et al. A mathematical model‐based approach for DC multi‐microgrid performance evaluations considering intermittent distributed energy resources, energy storage, multiple load classes, and system components variations. Energy Science & Engineering, 2021, 9(10): 1919-1934.

[10] Xu Q, Wang J, Qiao S, et al. A joint optimization method for capacity planning and operation of wind-solar-storage in regional power grids considering source-load matching. Electric Power Construction, 2024, 45(08): 85-96.

[11] Wei L, Shipeng W, Yingxu W. Energy Storage Capacity Configuration of Power System with Wind-solar Energy Considering Source-load Matching. Electric Engineering, 2025, (10): 94 - 97.