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• W4376472204 abstract "A large number of small-capacity distributed energy storage (ES) systems have been introduced to take an important part in grid frequency regulation. However, the accompanying high-order optimization problem causes an inevitable issue for both centralized and distributed control methods. Accordingly, based on the reduced-order predictive model, a two-layer control strategy of frequency support for power systems is proposed in this paper, in which the frequency regulation and economic dispatch are combined. The lower layer is implemented in a distributed framework which only requires communication between adjacent ESs, and the upper layer only utilizes the reduced-order information sent from the lower layer which lessens the computation burdens. The effectiveness of the entire control method is validated under different scenarios by simulations. As indicated in the simulation results, the proposed method achieves almost the same control effect in ES clusters as that using centralized control with a shorter computing time. And the proposed method incorporates the widespread multiple small-capacity ESs effectively for power system frequency control." @default.
• W4376472204 created "2023-05-14" @default.
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• W4376472204 date "2023-01-01" @default.
• W4376472204 modified "2023-10-16" @default.
• W4376472204 title "Model Predictive Control Based Frequency Regulation for Power Systems Containing Massive Energy Storage Clusters" @default.
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• W4376472204 doi "https://doi.org/10.1007/978-981-99-1027-4_123" @default.
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