A Feedforward Neural Network Hydrogen Electrolyzer Output Regulator for Wind Power Control with Battery Storage-Reference-Cited by-同舟云学术

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

Published:2021-12-05 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia)
language:
Short-container-title:

Author:

Syed Miswar Akhtar¹,Khalid Muhammad²

Affiliation:

1. King Fahd University of Petroleum and Minerals (KFUPM) Center for Renewable Energy and Power Systems,Electrical Engineering Department,Dhahran,Saudi Arabia,31261

2. King Fahd University of Petroleum and Minerals (KFUPM) Center for Renewable Energy and Power Systems K.A. CARE Energy Research and Innovation Center,Electrical Engineering Department,Dhahran,Saudi Arabia,31261

Funder

KFUPM

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9715538/9715267/09715687.pdf?arnumber=9715687

Reference18 articles.

1. Moving Regression Filtering With Battery State of Charge Feedback Control for Solar PV Firming and Ramp Rate Curtailment

2. Saviztky–Golay Filtering for Solar Power Smoothing and Ramp Rate Reduction Based on Controlled Battery Energy Storage

3. Neural network predictive control for smoothing of solar power fluctuations with battery energy storage

4. Renewable distributed generation: The hidden challenges – A review from the protection perspective

5. Comparative Study of Ramp-Rate Control Algorithms for PV with Energy Storage Systems

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hydrogen Storage Wind Power Fluctuation Smoothing Strategy Based on Improved Beluga Whale Optimization with Kalman Filtering;2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC);2024-06-07

2. Analysis and Modeling of Direct Ammonia Fuel Cells for Solar and Wind Power Leveling in Smart Grid Applications;IEEE Access;2024

3. A Novel Consensus-driven Technique for Optimal Power Allocation in Smart Energy Networks Considering Multiple Fueling Feature of Thermal Plants;2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG);2023-12-03

4. Neural Network Modeling of an Electrochemical Ammonia Synthesizer for Smart Grid Applications;2023 8th IEEE Workshop on the Electronic Grid (eGRID);2023-10-16

5. Analysis of Electrochemical Ammonia Production Rate via Smoothing Filters for Solar Energy Storage;2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2023-09-24