Hydrogen Storage Wind Power Fluctuation Smoothing Strategy Based on Improved Beluga Whale Optimization with Kalman Filtering-Reference-Cited by-同舟云学术

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Hydrogen Storage Wind Power Fluctuation Smoothing Strategy Based on Improved Beluga Whale Optimization with Kalman Filtering

Published:2024-06-07 Issue: Volume: Page:1895-1899
ISSN:
Container-title:2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC)
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Author:

Ye Zikuang¹,Huang Deqi¹,Zhang Zhenhua¹,Xie Lirons¹,Li Penghua²,Ilolov Mamadsho³,Hou Jie²,Bao Hongyin⁴

Affiliation:

1. Xinjiang University,Urumqi,China

2. Chongqing University of Posts and Telecommunications,Chongqing,China

3. Center of Innovative Development of Science and New Technologies,Dushanbe,Republic of Tajikistan

4. Haiwei (Xinjiang) New Energy Co., Ltd,China Shipbuilding Heavy Industry,Urumqi,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10598401/10598402/10598673.pdf?arnumber=10598673

Reference9 articles.

1. A Feedforward Neural Network Hydrogen Electrolyzer Output Regulator for Wind Power Control with Battery Storage

2. Discrete-Wavelet-Transform and Stockwell-Transform-Based Statistical Parameters Estimation for Fault Analysis in Grid-Connected Wind Power System

3. 0.5-V Nano-Power Voltage-Mode First-Order Universal Filter Based on Multiple-Input OTA

4. Modal Decomposition of 3-D Quasi-Static Maxwell Equations by Cauer Ladder Network Representation

5. A smoothing method for wind power fluctuation using hybrid energy storage

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