Optimization and prediction of hydrogen consumption for a fuel cell stack used as backup energy source in a DC microgrid-Reference-Cited by-同舟云学术

Optimization and prediction of hydrogen consumption for a fuel cell stack used as backup energy source in a DC microgrid

Published:2022-06-30 Issue: Volume: Page:
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Container-title:2022 14th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)
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Author:

Bizon Nicu¹,Takorabet Noureddine²,Thounthong Phatiphat³

Affiliation:

1. University of Pitesti,Faculty of Electronics, Comm. and Computers,Pitesti,Romania

2. Group of Research in Electrical Engineering of Nancy (GREEN), University of Lorraine-GREEN,Nancy,France

3. Renewable Energy Research Centre (RERC), King Mongkut's Univ. of Technology North Bangkok,Faculty of Technical Education,Bangkok,Thailand

Funder

King Mongkut's University of Technology North Bangkok (Thailand)

National Research Council of Thailand (NRCT) under Senior Research Scholar Program

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9847306/9847307/09847449.pdf?arnumber=9847449

Reference42 articles.

1. Energy optimization of fuel cell system by using global extremum seeking algorithm

2. Application for collecting data from sensors and transmitting them through the network;ionescu;Journal of Electrical Engineering Electronics Control and Computer Science (JEEECCS),2019

3. Efficient Operation of the Hybrid Power System Using an Optimal Fueling Strategy and Control of the Fuel Cell Power Based on the Required Power Tracking Algorithm

4. Resilience in Electric Power Systems;shahzad;Journal of Electrical Engineering Electronics Control and Computer Science - JEEECCS,2021

5. Sensitivity analysis of the fuel economy strategy based on load-following control of the fuel cell hybrid power system

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