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- W4315694867 abstract "With the integration of renewable energy, probabilistic optimal power flow (POPF) becomes an important tool to analyze system uncertainty. To relieve the computational burden of POPF, a linear OPF model is proposed. To make the linear OPF accurate, an optimization method is proposed to obtain the worst-case error of the used linear power flow (LPF) model. When the worst-case error is unacceptable, a min-max two-levels optimization problem is proposed to obtain the optimal LPF model (i.e., in terms of minimizing the worst-case error) over a defined linearization range. To solve the difficult min-max problem, an analytical approximation method is proposed to reformulate the min-max problem as a tractable one-level linear program. By applying the error checking, the proposed linear OPF yields better solutions. Several standard systems are tested and the results verify the effectiveness of the proposed method." @default.
- W4315694867 created "2023-01-12" @default.
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- W4315694867 date "2022-11-01" @default.
- W4315694867 modified "2023-09-25" @default.
- W4315694867 title "A Linear Probabilistic Optimal Power Flow Model with Linearization Error Checking" @default.
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- W4315694867 doi "https://doi.org/10.1109/isgtasia54193.2022.10003601" @default.
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