Energy management of compound power supply based on grey wolf algorithm
ObjectiveIn order to improve the power quality of ships under complex working conditions, an energy management strategy based on wavelet decomposition is proposed for fuel cell ships with a hybrid energy storage system (HESS) consisting of a battery and supercapacitor. Methods First, wavelet decompo...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Editorial Office of Chinese Journal of Ship Research
2025-06-01
|
| Series: | Zhongguo Jianchuan Yanjiu |
| Subjects: | |
| Online Access: | http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.03617 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850116675602481152 |
|---|---|
| author | Hui YI Hui CHEN |
| author_facet | Hui YI Hui CHEN |
| author_sort | Hui YI |
| collection | DOAJ |
| description | ObjectiveIn order to improve the power quality of ships under complex working conditions, an energy management strategy based on wavelet decomposition is proposed for fuel cell ships with a hybrid energy storage system (HESS) consisting of a battery and supercapacitor. Methods First, wavelet decomposition and fuzzy logic control are used to distribute the load power of the ship and optimize the charging and discharging process of the battery. Next, grey wolf optimizer (GWO) is used to optimize the parameters of the HESS and ensure that the energy management strategy matches the equipment parameters. Finally, the ship power system model is built using the Matlab/Simulink platform, and the simulation experiment is verified.ResultsThe simulation results show that the proposed energy management strategy can effectively suppress the output power fluctuation of the fuel cell and realize rational power distribution among devices, reducing the optimized bus voltage fluctuation by 23.19%. ConclusionThis study can provide useful references for the optimization design of the power quality of ships. |
| format | Article |
| id | doaj-art-0a06d3ae512445f581853bdeb27f6ffa |
| institution | OA Journals |
| issn | 1673-3185 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Editorial Office of Chinese Journal of Ship Research |
| record_format | Article |
| series | Zhongguo Jianchuan Yanjiu |
| spelling | doaj-art-0a06d3ae512445f581853bdeb27f6ffa2025-08-20T02:36:16ZengEditorial Office of Chinese Journal of Ship ResearchZhongguo Jianchuan Yanjiu1673-31852025-06-0120324925710.19693/j.issn.1673-3185.03617ZG3617Energy management of compound power supply based on grey wolf algorithmHui YI0Hui CHEN1School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan 430063, ChinaSchool of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan 430063, ChinaObjectiveIn order to improve the power quality of ships under complex working conditions, an energy management strategy based on wavelet decomposition is proposed for fuel cell ships with a hybrid energy storage system (HESS) consisting of a battery and supercapacitor. Methods First, wavelet decomposition and fuzzy logic control are used to distribute the load power of the ship and optimize the charging and discharging process of the battery. Next, grey wolf optimizer (GWO) is used to optimize the parameters of the HESS and ensure that the energy management strategy matches the equipment parameters. Finally, the ship power system model is built using the Matlab/Simulink platform, and the simulation experiment is verified.ResultsThe simulation results show that the proposed energy management strategy can effectively suppress the output power fluctuation of the fuel cell and realize rational power distribution among devices, reducing the optimized bus voltage fluctuation by 23.19%. ConclusionThis study can provide useful references for the optimization design of the power quality of ships.http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.03617fuel cell-powered vesselshybrid energy storage systemenergy storageenergy managementmultiobjective optimzationwavelet decompositionfuzzy controlgrey wolf optimizer |
| spellingShingle | Hui YI Hui CHEN Energy management of compound power supply based on grey wolf algorithm Zhongguo Jianchuan Yanjiu fuel cell-powered vessels hybrid energy storage system energy storage energy management multiobjective optimzation wavelet decomposition fuzzy control grey wolf optimizer |
| title | Energy management of compound power supply based on grey wolf algorithm |
| title_full | Energy management of compound power supply based on grey wolf algorithm |
| title_fullStr | Energy management of compound power supply based on grey wolf algorithm |
| title_full_unstemmed | Energy management of compound power supply based on grey wolf algorithm |
| title_short | Energy management of compound power supply based on grey wolf algorithm |
| title_sort | energy management of compound power supply based on grey wolf algorithm |
| topic | fuel cell-powered vessels hybrid energy storage system energy storage energy management multiobjective optimzation wavelet decomposition fuzzy control grey wolf optimizer |
| url | http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.03617 |
| work_keys_str_mv | AT huiyi energymanagementofcompoundpowersupplybasedongreywolfalgorithm AT huichen energymanagementofcompoundpowersupplybasedongreywolfalgorithm |