Day-ahead optimal scheduling strategy for electrolytic water to hydrogen production in zero-carbon parks type microgrid for optimal utilization of electrolyzer
Under the goal of achieving “carbon peaking and carbon neutrality”, microgrids with hydrogen storage have emerged as a prominent area of development. However, large-scale operation of alkaline electrolytic water hydrogen production units suffers from low efficiency. To address this issue, this paper...
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ftalborgunivpubl:oai:pure.atira.dk:publications/db414396-2dc5-402d-bff5-656edc878e07 2024-10-13T14:06:21+00:00 Day-ahead optimal scheduling strategy for electrolytic water to hydrogen production in zero-carbon parks type microgrid for optimal utilization of electrolyzer Huang, Wentao Zhang, Bohan Ge, Leijiao He, Jun Liao, Wenlong Ma, Peilei 2023-09-15 https://vbn.aau.dk/da/publications/db414396-2dc5-402d-bff5-656edc878e07 https://doi.org/10.1016/j.est.2023.107653 http://www.scopus.com/inward/record.url?scp=85159861997&partnerID=8YFLogxK eng eng https://vbn.aau.dk/da/publications/db414396-2dc5-402d-bff5-656edc878e07 info:eu-repo/semantics/closedAccess Huang , W , Zhang , B , Ge , L , He , J , Liao , W & Ma , P 2023 , ' Day-ahead optimal scheduling strategy for electrolytic water to hydrogen production in zero-carbon parks type microgrid for optimal utilization of electrolyzer ' , Journal of Energy Storage , vol. 68 , 107653 . https://doi.org/10.1016/j.est.2023.107653 Electrolyzer Hydrogen production Hydrogen refueling and production station Microgrid Optimal configuration Renewable energy article 2023 ftalborgunivpubl https://doi.org/10.1016/j.est.2023.107653 2024-09-19T00:52:40Z Under the goal of achieving “carbon peaking and carbon neutrality”, microgrids with hydrogen storage have emerged as a prominent area of development. However, large-scale operation of alkaline electrolytic water hydrogen production units suffers from low efficiency. To address this issue, this paper proposes an optimal scheduling strategy for electrolytic water to hydrogen production in a zero-carbon park type microgrid for optimal utilization of the electrolyzer. Taking into account the economic cost, the interaction rate of the microgrid and the hydrogen demand of the park, a zero-carbon park type microgrid electrolytic water to hydrogen optimization model for the optimal utilization of electrolyzes is constructed. To overcome the challenges of slow convergence speed and local optimality of the traditional algorithm, the Beluga Whale Optimization (BWO) is improved to solve the model. Compared with the PSO algorithm, the BWO algorithm solves the model 10 % faster and has a better optimization finding capability. Finally, the simulation results demonstrate that the daily revenue value of the proposed dispatching strategy is 12.5 % higher than that of the traditional dispatching strategy for microgrids. The impact of the hydrogen selling price and the new energy feed-in tariff on the proposed strategy is also analysed. Article in Journal/Newspaper Beluga Beluga whale Beluga* Aalborg University's Research Portal Journal of Energy Storage 68 107653 |
institution |
Open Polar |
collection |
Aalborg University's Research Portal |
op_collection_id |
ftalborgunivpubl |
language |
English |
topic |
Electrolyzer Hydrogen production Hydrogen refueling and production station Microgrid Optimal configuration Renewable energy |
spellingShingle |
Electrolyzer Hydrogen production Hydrogen refueling and production station Microgrid Optimal configuration Renewable energy Huang, Wentao Zhang, Bohan Ge, Leijiao He, Jun Liao, Wenlong Ma, Peilei Day-ahead optimal scheduling strategy for electrolytic water to hydrogen production in zero-carbon parks type microgrid for optimal utilization of electrolyzer |
topic_facet |
Electrolyzer Hydrogen production Hydrogen refueling and production station Microgrid Optimal configuration Renewable energy |
description |
Under the goal of achieving “carbon peaking and carbon neutrality”, microgrids with hydrogen storage have emerged as a prominent area of development. However, large-scale operation of alkaline electrolytic water hydrogen production units suffers from low efficiency. To address this issue, this paper proposes an optimal scheduling strategy for electrolytic water to hydrogen production in a zero-carbon park type microgrid for optimal utilization of the electrolyzer. Taking into account the economic cost, the interaction rate of the microgrid and the hydrogen demand of the park, a zero-carbon park type microgrid electrolytic water to hydrogen optimization model for the optimal utilization of electrolyzes is constructed. To overcome the challenges of slow convergence speed and local optimality of the traditional algorithm, the Beluga Whale Optimization (BWO) is improved to solve the model. Compared with the PSO algorithm, the BWO algorithm solves the model 10 % faster and has a better optimization finding capability. Finally, the simulation results demonstrate that the daily revenue value of the proposed dispatching strategy is 12.5 % higher than that of the traditional dispatching strategy for microgrids. The impact of the hydrogen selling price and the new energy feed-in tariff on the proposed strategy is also analysed. |
format |
Article in Journal/Newspaper |
author |
Huang, Wentao Zhang, Bohan Ge, Leijiao He, Jun Liao, Wenlong Ma, Peilei |
author_facet |
Huang, Wentao Zhang, Bohan Ge, Leijiao He, Jun Liao, Wenlong Ma, Peilei |
author_sort |
Huang, Wentao |
title |
Day-ahead optimal scheduling strategy for electrolytic water to hydrogen production in zero-carbon parks type microgrid for optimal utilization of electrolyzer |
title_short |
Day-ahead optimal scheduling strategy for electrolytic water to hydrogen production in zero-carbon parks type microgrid for optimal utilization of electrolyzer |
title_full |
Day-ahead optimal scheduling strategy for electrolytic water to hydrogen production in zero-carbon parks type microgrid for optimal utilization of electrolyzer |
title_fullStr |
Day-ahead optimal scheduling strategy for electrolytic water to hydrogen production in zero-carbon parks type microgrid for optimal utilization of electrolyzer |
title_full_unstemmed |
Day-ahead optimal scheduling strategy for electrolytic water to hydrogen production in zero-carbon parks type microgrid for optimal utilization of electrolyzer |
title_sort |
day-ahead optimal scheduling strategy for electrolytic water to hydrogen production in zero-carbon parks type microgrid for optimal utilization of electrolyzer |
publishDate |
2023 |
url |
https://vbn.aau.dk/da/publications/db414396-2dc5-402d-bff5-656edc878e07 https://doi.org/10.1016/j.est.2023.107653 http://www.scopus.com/inward/record.url?scp=85159861997&partnerID=8YFLogxK |
genre |
Beluga Beluga whale Beluga* |
genre_facet |
Beluga Beluga whale Beluga* |
op_source |
Huang , W , Zhang , B , Ge , L , He , J , Liao , W & Ma , P 2023 , ' Day-ahead optimal scheduling strategy for electrolytic water to hydrogen production in zero-carbon parks type microgrid for optimal utilization of electrolyzer ' , Journal of Energy Storage , vol. 68 , 107653 . https://doi.org/10.1016/j.est.2023.107653 |
op_relation |
https://vbn.aau.dk/da/publications/db414396-2dc5-402d-bff5-656edc878e07 |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.1016/j.est.2023.107653 |
container_title |
Journal of Energy Storage |
container_volume |
68 |
container_start_page |
107653 |
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1812812470655385600 |