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An intelligent capacity management system for interface converter in AC-DC hybrid microgrids

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  • Heidari, Saeed
  • Hatami, Alireza
  • Eskandari, Mohsen

Abstract

An interface converter (IC) is used in an AC-DC hybrid microgrid (HMG) and its main tasks are frequency regulation in the AC side, adjusting the DC voltage, and controlling the power flow between AC/DC sides based on the droop control method. The IC should be capable of providing ancillary services such as reactive power supply and compensation of unbalanced and harmonic components in the AC side. However, the use of the IC to provide ancillary services occupies its capacity, which may interfere with the main tasks of the IC. In addition, it is shown in this paper that in unbalanced conditions, the effective power capacity of the IC is reduced by considering the current limit of the converter. In this case, the converter may not be able to perform the main task and provide all the necessary ancillary services at the same time, otherwise, it may be exposed to an overcurrent condition. Therefore, an efficient strategy is needed to manage the IC converter capacity to facilitate optimal use of the entire IC capacity even in unbalanced conditions. Given this challenge, this paper proposes an intelligent strategy for managing the IC capacity, which prioritizes the realization of the main task and the provision of ancillary services. The proposed strategy is evaluated, and its effectiveness is proven by simulation results in Matlab/Simulink.

Suggested Citation

  • Heidari, Saeed & Hatami, Alireza & Eskandari, Mohsen, 2022. "An intelligent capacity management system for interface converter in AC-DC hybrid microgrids," Applied Energy, Elsevier, vol. 316(C).
    • Handle: RePEc:eee:appene:v:316:y:2022:i:c:s0306261922004949
    DOI: 10.1016/j.apenergy.2022.119112
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    References listed on IDEAS

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    1. Xiao, Qian & Mu, Yunfei & Jia, Hongjie & Jin, Yu & Hou, Kai & Yu, Xiaodan & Teodorescu, Remus & Guerrero, Josep M., 2021. "Modular multilevel converter based multi-terminal hybrid AC/DC microgrid with improved energy control method," Applied Energy, Elsevier, vol. 282(PA).
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    3. Moradi, Mohammad H. & Eskandari, Mohsen, 2014. "A hybrid method for simultaneous optimization of DG capacity and operational strategy in microgrids considering uncertainty in electricity price forecasting," Renewable Energy, Elsevier, vol. 68(C), pages 697-714.
    4. Li, Xiangke & Dong, Chaoyu & Jiang, Wentao & Wu, Xiaohua, 2021. "An improved coordination control for a novel hybrid AC/DC microgrid architecture with combined energy storage system," Applied Energy, Elsevier, vol. 292(C).
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    Cited by:

    1. Dong Yu & Shan Gao & Xin Zhao & Yu Liu & Sicheng Wang & Tiancheng E. Song, 2023. "Alternating Iterative Power-Flow Algorithm for Hybrid AC–DC Power Grids Incorporating LCCs and VSCs," Sustainability, MDPI, vol. 15(5), pages 1-22, March.
    2. Yousef Asadi & Mohsen Eskandari & Milad Mansouri & Andrey V. Savkin & Erum Pathan, 2022. "Frequency and Voltage Control Techniques through Inverter-Interfaced Distributed Energy Resources in Microgrids: A Review," Energies, MDPI, vol. 15(22), pages 1-29, November.

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