Research on Power Smoothing Control of Grid-Connected High Proportion New Energy Power Systems

Authors

  • Shunxi Guo

DOI:

https://doi.org/10.54097/0nxa7f16

Keywords:

Integrated System, New Energy, Smoothing Control, Energy Storage.

Abstract

With the increasing share of renewable energy in power systems, the construction of an integrated "source-grid-load-storage" system in regions rich in renewable energy and areas with concentrated loads has become an effective way to promote large-scale local consumption of renewable energy. However, under scenarios of high renewable energy integration, the lack of synchronous inertia support in the integrated system poses severe challenges to system frequency stability. Therefore, it is crucial to deeply explore the frequency regulation potential of each component in the "source-grid-load-storage" system. This paper studies the frequency response characteristics of new energy power stations and the demand-side response mechanism. Based on the actual operating conditions of the system and expected fault scenarios, reasonable virtual inertia time constants are set, and a frequency response model of the "source-grid-load-storage" integrated system is established. Furthermore, a new optimized power command is proposed, which combines a moving average filtering algorithm to smooth wind power output fluctuations. Finally, an optimized energy storage configuration method considering resource coordinated operation is studied. The research in this paper provides theoretical support and reference for improving system frequency stability and promoting renewable energy consumption under high renewable energy integration scenarios.

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References

[1] Li S, Zhu J, Dong H, et al. A novel rolling optimization strategy considering grid-connected power fluctuations smoothing for renewable energy microgrids. Applied Energy, 2022, 309: 118441.

[2] Lunardi A, Normandia Lourenço L F, Munkhchuluun E, et al. Grid-connected power converters: An overview of control strategies for renewable energy. Energies, 2022, 15 (11): 4151.

[3] Bharatee A, Ray P K, Ghosh A. A power management scheme for grid-connected PV integrated with hybrid energy storage system. Journal of Modern Power Systems and Clean Energy, 2021, 10 (4): 954-963.

[4] Beltran H, Harrison S, Egea-Àlvarez A, et al. Techno-economic assessment of energy storage technologies for inertia response and frequency support from wind farms. Energies, 2020, 13 (13): 3421.

[5] Bera A, Chalamala B R, Byrne R H, et al. Sizing of energy storage for grid inertial support in presence of renewable energy. IEEE Transactions on Power Systems, 2021, 37 (5): 3769-3778.

[6] Rinaldi A, Yilmaz S, Patel M K, et al. What adds more flexibility? An energy system analysis of storage, demand-side response, heating electrification, and distribution reinforcement. Renewable and Sustainable Energy Reviews, 2022, 167: 112696.

[7] Zhang H, Xiang W, Lin W, et al. Grid forming converters in renewable energy sources dominated power grid: Control strategy, stability, application, and challenges. Journal of modern power systems and clean energy, 2021, 9 (6): 1239-1256.

[8] Ratnam K S, Palanisamy K, Yang G. Future low-inertia power systems: Requirements, issues, and solutions-A review. Renewable and Sustainable Energy Reviews, 2020, 124: 109773.

[9] Roscoe A, Knueppel T, Da Silva R, et al. Response of a grid forming wind farm to system events, and the impact of external and internal damping. IET Renewable Power Generation, 2020, 14 (19): 3908-3917.

[10] Pishbahar H, Blaabjerg F, Saboori H. Emerging grid-forming power converters for renewable energy and storage resources integration–A review. Sustainable Energy Technologies and Assessments, 2023, 60: 103538.

[11] Ma L, Li X, Kong X, et al. Optimal participation and cost allocation of shared energy storage considering customer directrix load demand response. Journal of Energy Storage, 2024, 81: 110404.

[12] Tabosa da Silva P L, Rosas P A C, Castro J F C, et al. Power smoothing strategy for wind generation based on fuzzy control strategy with battery energy storage system. Energies, 2023, 16 (16): 6017.

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Published

11-12-2024

How to Cite

Guo, S. (2024). Research on Power Smoothing Control of Grid-Connected High Proportion New Energy Power Systems. Highlights in Science, Engineering and Technology, 119, 584-592. https://doi.org/10.54097/0nxa7f16