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- W4226363002 abstract "Frequency stability is of great significance to the safe operation of the power grid. In particular, allowing renewable energy sources to participate in frequency regulation is one of the current research hotspots. This paper proposes an aggregation algorithm that aggregates wind turbines to participate in Automatic Generation Control (AGC) to maintain grid frequency stability. AGC aims to minimize the Area Control Error (ACE) by re-dispatching the committed generation units through the communication network. However, the network brings new challenges such as time delay and data loss to the wide-area frequency control of power systems. The uncertainty caused by the stochastic time delay of network communication increases the difficulty of the wide-area power distribution of generator units in AGC. The Multi-Armed Bandit(MAB) algorithm proposed in this paper can effectively solve this difficulty. And verify its effectiveness based on the case study of the IEEE RTS 24 bus system. It is concluded that this algorithm is more superior in frequency regulation to the traditional aggregation algorithm." @default.
- W4226363002 created "2022-05-05" @default.
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- W4226363002 date "2021-12-23" @default.
- W4226363002 modified "2023-10-17" @default.
- W4226363002 title "Optimal scheduling of Renewable Energy Sources for Grid Frequency Stability Using Multi-armed Bandit Method" @default.
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- W4226363002 doi "https://doi.org/10.1109/ispec53008.2021.9736112" @default.
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