Algorithm convergence curve.
<div><p>The research on the value evaluation system of power-to-hydrogen (P2H) equipment configuration in integrated energy systems is of great value for optimizing resource allocation, improving energy utilization efficiency, and promoting clean energy technology development. However, t...
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2025
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| _version_ | 1852021204424065024 |
|---|---|
| author | Kuiyuan Pan (21145338) |
| author2 | Tianhe Sun (21145341) Xinfu Pang (16713651) Xiaoyi Qian (21145344) |
| author2_role | author author author |
| author_facet | Kuiyuan Pan (21145338) Tianhe Sun (21145341) Xinfu Pang (16713651) Xiaoyi Qian (21145344) |
| author_role | author |
| dc.creator.none.fl_str_mv | Kuiyuan Pan (21145338) Tianhe Sun (21145341) Xinfu Pang (16713651) Xiaoyi Qian (21145344) |
| dc.date.none.fl_str_mv | 2025-04-17T20:03:18Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0320486.g009 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Algorithm_convergence_curve_/28821390 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Science Policy Computational Biology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Physical Sciences not elsewhere classified Information Systems not elsewhere classified optimizing resource allocation integrated energy systems integrated energy system experimental results show entropy weight method different capacity configurations analytic hierarchy process 8 %, 11 7 %, respectively 09 %, 33 comprehensive benefits brought comprehensive evaluation system value evaluation system dimensional value evaluation capacity optimization configuration hydrogen </ p thorough evaluation 57 %, comprehensive benefit equipment configuration great value xlink "> woa algorithms solved using optimization model environmental benefit economic benefit |
| dc.title.none.fl_str_mv | Algorithm convergence curve. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <div><p>The research on the value evaluation system of power-to-hydrogen (P2H) equipment configuration in integrated energy systems is of great value for optimizing resource allocation, improving energy utilization efficiency, and promoting clean energy technology development. However, there is no comprehensive evaluation system for evaluating P2H equipment configuration in integrated energy systems. Therefore, a multi-dimensional value evaluation system is proposed to realize the thorough evaluation of P2H equipment with different capacity configurations in the integrated energy system. Initially, a mathematical model considering flexibility benefit, new energy consumption benefit, economic benefit, and environmental benefit is established to maximize the comprehensive benefits brought by P2H equipment to the integrated energy system, and the model is solved using an improved backbone particle swarm optimization (IBBPSO) algorithm; subsequently, a multi-dimensional value evaluation system based on the analytic hierarchy process (AHP) -entropy weight method is constructed, and the value of P2H equipment with different capacity configurations in the integrated energy system is compared and analyzed when the comprehensive benefit is optimal. The experimental results show that the IBBPSO algorithm exhibits better performance in solving the optimization model. Compared to PSO, IBBPSO, GWO, and WOA algorithms, it improves by 9.8%, 11.09%, 33.57%, and 17.7%, respectively. The optimal solution is achieved when the P2H equipment is configured to 50 MW.</p></div> |
| eu_rights_str_mv | openAccess |
| id | Manara_8cf5ca4e8a0c44feb2cd7e14095aba23 |
| identifier_str_mv | 10.1371/journal.pone.0320486.g009 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28821390 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Algorithm convergence curve.Kuiyuan Pan (21145338)Tianhe Sun (21145341)Xinfu Pang (16713651)Xiaoyi Qian (21145344)MedicineScience PolicyComputational BiologySpace ScienceBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedChemical Sciences not elsewhere classifiedPhysical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedoptimizing resource allocationintegrated energy systemsintegrated energy systemexperimental results showentropy weight methoddifferent capacity configurationsanalytic hierarchy process8 %, 117 %, respectively09 %, 33comprehensive benefits broughtcomprehensive evaluation systemvalue evaluation systemdimensional value evaluationcapacity optimization configurationhydrogen </ pthorough evaluation57 %,comprehensive benefitequipment configurationgreat valuexlink ">woa algorithmssolved usingoptimization modelenvironmental benefiteconomic benefit<div><p>The research on the value evaluation system of power-to-hydrogen (P2H) equipment configuration in integrated energy systems is of great value for optimizing resource allocation, improving energy utilization efficiency, and promoting clean energy technology development. However, there is no comprehensive evaluation system for evaluating P2H equipment configuration in integrated energy systems. Therefore, a multi-dimensional value evaluation system is proposed to realize the thorough evaluation of P2H equipment with different capacity configurations in the integrated energy system. Initially, a mathematical model considering flexibility benefit, new energy consumption benefit, economic benefit, and environmental benefit is established to maximize the comprehensive benefits brought by P2H equipment to the integrated energy system, and the model is solved using an improved backbone particle swarm optimization (IBBPSO) algorithm; subsequently, a multi-dimensional value evaluation system based on the analytic hierarchy process (AHP) -entropy weight method is constructed, and the value of P2H equipment with different capacity configurations in the integrated energy system is compared and analyzed when the comprehensive benefit is optimal. The experimental results show that the IBBPSO algorithm exhibits better performance in solving the optimization model. Compared to PSO, IBBPSO, GWO, and WOA algorithms, it improves by 9.8%, 11.09%, 33.57%, and 17.7%, respectively. The optimal solution is achieved when the P2H equipment is configured to 50 MW.</p></div>2025-04-17T20:03:18ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0320486.g009https://figshare.com/articles/figure/Algorithm_convergence_curve_/28821390CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/288213902025-04-17T20:03:18Z |
| spellingShingle | Algorithm convergence curve. Kuiyuan Pan (21145338) Medicine Science Policy Computational Biology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Physical Sciences not elsewhere classified Information Systems not elsewhere classified optimizing resource allocation integrated energy systems integrated energy system experimental results show entropy weight method different capacity configurations analytic hierarchy process 8 %, 11 7 %, respectively 09 %, 33 comprehensive benefits brought comprehensive evaluation system value evaluation system dimensional value evaluation capacity optimization configuration hydrogen </ p thorough evaluation 57 %, comprehensive benefit equipment configuration great value xlink "> woa algorithms solved using optimization model environmental benefit economic benefit |
| status_str | publishedVersion |
| title | Algorithm convergence curve. |
| title_full | Algorithm convergence curve. |
| title_fullStr | Algorithm convergence curve. |
| title_full_unstemmed | Algorithm convergence curve. |
| title_short | Algorithm convergence curve. |
| title_sort | Algorithm convergence curve. |
| topic | Medicine Science Policy Computational Biology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Physical Sciences not elsewhere classified Information Systems not elsewhere classified optimizing resource allocation integrated energy systems integrated energy system experimental results show entropy weight method different capacity configurations analytic hierarchy process 8 %, 11 7 %, respectively 09 %, 33 comprehensive benefits brought comprehensive evaluation system value evaluation system dimensional value evaluation capacity optimization configuration hydrogen </ p thorough evaluation 57 %, comprehensive benefit equipment configuration great value xlink "> woa algorithms solved using optimization model environmental benefit economic benefit |