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• W2896742940 abstract "In this paper, a mathematical formulation of the probabilistic available transfer capability (PATC) problem is proposed to incorporate uncertainties from the large-scale renewable energy generation (e.g., wind farms and solar PV power plants). Moreover, a novel non-intrusive low-rank approximation (LRA) is developed to assess PATC, which can accurately and efficiently estimate the probabilistic characteristics (e.g., mean, variance, probability density function (PDF)) of the PATC. Numerical studies on the IEEE 24-bus reliability test system (RTS) and IEEE 118-bus system show that the proposed method can achieve accurate estimations for the probabilistic characteristics of the PATC with much less computational effort compared to the Latin hypercube sampling (LHS)-based Monte Carlo simulations (MCS). The proposed LRA-PATC method offers an efficient and effective way to determine the available transfer capability so as to fully utilize the transmission assets while maintaining the security of the grid." @default.
• W2896742940 created "2018-10-26" @default.
• W2896742940 creator A5028092802 @default.
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• W2896742940 date "2018-10-18" @default.
• W2896742940 modified "2023-09-27" @default.
• W2896742940 title "A Non-Intrusive Low-Rank Approximation Method for Assessing the Probabilistic Available Transfer Capability" @default.
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