Research on Automatic Active Disturbance Rejection Control Method for Hydrogen Production by Alkaline Electrolysis of Green Electricity

Green electrolysis of water for hydrogen production has a very wide application prospect because of its ability to utilize renewable energy to produce hydrogen. However, in the process of hydrogen production by green power, the temperature at the working point of the system fluctuates continuously due to the strong volatility of renewable energy, so a linear self-resistant controller (LADRC) based on the Nash Equilibrium Quantum Particle Swarm (NEQPSO) algorithm is proposed. First, the temperature control process of the green power hydrogen production system is analyzed, and the LADRC control method is proposed for the perturbations in the process. Second, the Nash equilibrium is integrated into the quantum particle swarm algorithm to optimize the parameters of the linear self-oscillating controller, and the optimized parameters are applied to the control system. The results of the simulation indicate that the overshoot of the LADRC method by 10.39% was reduced due to the perturbation. The rapidity also improved by 17.60%, demonstrating a favorable control effect.

Authors

Institutions

Publication Details

Published
2024-08-21
DOI
https://doi.org/10.1109/iai63275.2024.10730399
Citations
1
Primary Topic
Hybrid Renewable Energy Systems
Type
article
Field-Weighted Citation Impact
0.17
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Automatic Active Disturbance Rejection Control Method for Hydrogen Production by Alkaline Electrolysis of Green Electricity

Yanpeng Cai, Shaoyi Ye, Xinxin Shi, Jiqing Yu et al.
1 citations
Hybrid Renewable Energy Systems
0.17
article

Research on Automatic Active Disturbance Rejection Control Method for Hydrogen Production by Alkaline Electrolysis of Green Electricity

Yanpeng Cai, Shaoyi Ye, Xinxin Shi, Jiqing Yu, Guinan Wang, Jun Li, Jian Wang, Guojun Niu, Chunyu Wang, Yue Chen
article en
1 citations

Abstract

Green electrolysis of water for hydrogen production has a very wide application prospect because of its ability to utilize renewable energy to produce hydrogen. However, in the process of hydrogen production by green power, the temperature at the working point of the system fluctuates continuously due to the strong volatility of renewable energy, so a linear self-resistant controller (LADRC) based on the Nash Equilibrium Quantum Particle Swarm (NEQPSO) algorithm is proposed. First, the temperature control process of the green power hydrogen production system is analyzed, and the LADRC control method is proposed for the perturbations in the process. Second, the Nash equilibrium is integrated into the quantum particle swarm algorithm to optimize the parameters of the linear self-oscillating controller, and the optimized parameters are applied to the control system. The results of the simulation indicate that the overshoot of the LADRC method by 10.39% was reduced due to the perturbation. The rapidity also improved by 17.60%, demonstrating a favorable control effect.

North China Electric Power University (CN), Jilin Electric Power Research Institute (China) (CN), State Nuclear Power Technology Company (China) (CN)
Openalex Percentile: Top 44%
Hybrid Renewable Energy Systems
0.17
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.