Operation optimization of hydrogen-containing energy storage cogeneration type microgrid based on improved dung beetle algorithm

Abstract An enhanced dung beetle optimization algorithm is used to solve the comprehensive optimization model of a cogeneration microgrid with hydrogen storage, with the optimization objective of minimizing the microgrid’s overall operation cost. The model is intended to address the issue of low thermal energy utilization efficiency of the hydrogen energy system of a cogeneration microgrid with hydrogen storage. The findings demonstrate that the suggested plan may more effectively satisfy the thermoelectric load requirements of the microgrid and guarantee the microgrid’s steady and independent operation, thereby fulfilling the objectives of energy conservation and emission reduction.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2024-08-01
DOI
https://doi.org/10.1088/1742-6596/2820/1/012111
Citations
1
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.17
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article

Operation optimization of hydrogen-containing energy storage cogeneration type microgrid based on improved dung beetle algorithm

Bingyan Zhao, Bowen Wang
1 citations
Journal of Physics Conference Series
Power Systems and Renewable Energy
0.17
article

Operation optimization of hydrogen-containing energy storage cogeneration type microgrid based on improved dung beetle algorithm

Bingyan Zhao, Bowen Wang
article en
1 citations

Abstract

Abstract An enhanced dung beetle optimization algorithm is used to solve the comprehensive optimization model of a cogeneration microgrid with hydrogen storage, with the optimization objective of minimizing the microgrid’s overall operation cost. The model is intended to address the issue of low thermal energy utilization efficiency of the hydrogen energy system of a cogeneration microgrid with hydrogen storage. The findings demonstrate that the suggested plan may more effectively satisfy the thermoelectric load requirements of the microgrid and guarantee the microgrid’s steady and independent operation, thereby fulfilling the objectives of energy conservation and emission reduction.

Journal of Physics Conference SeriesVol. 2820(1)
Shanghai Dianji University (CN)
Affordable and clean energy
Openalex Percentile: Top 47%
Power Systems and Renewable Energy
0.17
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Operation optimization of hydrogen-containing energy storage cogeneration type microgrid based on improved dung beetle algorithm — Bingyan Zhao, Bowen Wang · Journal of Physics Conference Series (2024) | TGRS Research Map | TGRS