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Data-Driven Optimization Framework for Voltage Regulation in Distribution Systems
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DOI：10.1109/TPWRD.2021.3136773.png)
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摘要
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This letter proposes a data-driven optimization framework for voltage regulation problems to address the challenge of model inaccuracy and parameter varying. To achieve online voltage optimization, the recursive kernel regression and interior point methods are integrated. The IEEE 123-Bus system and EPRI Ckt5 feeder are selected to validate the effectiveness of the proposed data-driven optimization framework. The proposed method is also compared with a linear function based method.
Keyword:
Voltage control
Optimization
Kernel
Mathematical models
Load flow
Voltage measurement
Linear programming
Recursive kernel regression
data-driven optimization
multiphase distribution system
voltage control
期刊
IF:
3.7
论文数:
9.1K
被引数:
2.2W
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