Structural Scheduling of Transient Control Under Energy Storage Systems by Sparse-Promoting Reinforcement Learning

IEEE Transactions on Industrial Informatics(2022)

引用 22|浏览42
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摘要
Machine learning related research in transient control has drawn considerable attention with the rapid increase in data measurement from power grids. Two key components, the control algorithm and system structure, work together to determine the control performance. The design of control laws, the selection of phase measurement units, the allocation of power resources, and the scheduling of communi...
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关键词
Transient analysis,Power system dynamics,Power grids,Power system stability,Job shop scheduling,Analytical models,Reinforcement learning
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