Multi-timescale optimal control strategy for energy storage using LSTM prediction–correction in the active distribution network

Multi-timescale optimal control strategy for energy storage using LSTM prediction–correction in the active distribution network

The daily output of wind power is inversely proportional to the load demand in most situations, which will lead to an increase in peak-to-valley difference and fluctuation. To solve this problem, this study proposes a long short-term memory prediction–correction-based multi-timescale optimal control...

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Bibliographic Details
Main Authors: Junjian Wu, Yiwei Chen, Jinhui Zhou, Chengtao Jiang, Wei Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Energy Research
Subjects:
peak shaving
energy storage
LSTM
prediction-correction
multi-time-scale
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2023.1240764/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2023.1240764/full

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