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- W4301304628 abstract "In this paper, we propose a data-driven energy storage system (ESS)-based method to enhance the online small-signal stability monitoring of power networks with high penetration of intermittent wind power. To accurately estimate inter-area modes that are closely related to the system's inherent stability characteristics, a novel algorithm that leverages on recent advances in wide-area measurement systems (WAMSs) and ESS technologies is developed. It is shown that the proposed approach can smooth the wind power fluctuations in near real-time using a small additional ESS capacity and thus significantly enhance the monitoring of small-signal stability. Dynamic Monte Carlo simulations on the IEEE 68-bus system are used to illustrate the effectiveness of the proposed algorithm in smoothing wind power and estimating the inter-area mode statistical properties." @default.
- W4301304628 created "2022-10-05" @default.
- W4301304628 creator A5041899503 @default.
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- W4301304628 date "2021-02-21" @default.
- W4301304628 modified "2023-09-27" @default.
- W4301304628 title "A Data-Driven Energy Storage System-Based Algorithm for Monitoring the Small-Signal Stability of Power Grids with Volatile Wind Power" @default.
- W4301304628 doi "https://doi.org/10.48550/arxiv.2102.10716" @default.
- W4301304628 hasPublicationYear "2021" @default.
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