Multi-objective capacity optimization configuration of independent wind-photovoltaic- hydrogen-battery system based on improved MOSSA algorithm
Under the background of large-scale and rapid development of renewable energy, in order to improve the economic benefit of the system and ensure the reliability of the system, this paper introduces hydrogen production and energy storage into the independent wind/photovoltaic/hydrogen/storage capacit...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-01-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.1077462/full |
| _version_ | 1797957733026103296 |
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| author | Meng Gaojun Ding Yanwen Giovanni Pau Yu Linlin Tan Wenyi |
| author_facet | Meng Gaojun Ding Yanwen Giovanni Pau Yu Linlin Tan Wenyi |
| author_sort | Meng Gaojun |
| collection | DOAJ |
| description | Under the background of large-scale and rapid development of renewable energy, in order to improve the economic benefit of the system and ensure the reliability of the system, this paper introduces hydrogen production and energy storage into the independent wind/photovoltaic/hydrogen/storage capacity optimization configuration method. In order to minimize the total planning cost and self-sufficiency rate of system power supply, a capacity optimization allocation model was established. On the basis of this model, the Multi-objective Salp Swarm Algorithm (MOSSA) was improved in Algorithm structure, Tent chaotic mapping was introduced to initialize the population, and the positions of leaders and followers were updated based on the adaptive spiral search strategy. The validity of the algorithm is verified by test function. Finally, the specific example is solved by MATLAB programming, and the improved multi-objective Salp Swarm Algorithm (IMOSSA) is used to obtain the capacity configuration scheme, which provides reference for the optimization design of independent photovoltaic hydrogen storage system. |
| first_indexed | 2024-04-11T00:08:08Z |
| format | Article |
| id | doaj.art-da8103e9cf3b44ec97729a22ba468dfb |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-11T00:08:08Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-da8103e9cf3b44ec97729a22ba468dfb2023-01-09T09:35:46ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-01-011010.3389/fenrg.2022.10774621077462Multi-objective capacity optimization configuration of independent wind-photovoltaic- hydrogen-battery system based on improved MOSSA algorithmMeng Gaojun0Ding Yanwen1Giovanni Pau2Yu Linlin3Tan Wenyi4Nanjing Institute of Technology, Nanjing, ChinaNanjing Institute of Technology, Nanjing, ChinaFaculty of Engineering and Architecture, Kore University of Enna, Enna, ItalyState Grid Henan Electric Power Economic and Technological Research Institute, Zhengzhou, ChinaNanjing Institute of Technology, Nanjing, ChinaUnder the background of large-scale and rapid development of renewable energy, in order to improve the economic benefit of the system and ensure the reliability of the system, this paper introduces hydrogen production and energy storage into the independent wind/photovoltaic/hydrogen/storage capacity optimization configuration method. In order to minimize the total planning cost and self-sufficiency rate of system power supply, a capacity optimization allocation model was established. On the basis of this model, the Multi-objective Salp Swarm Algorithm (MOSSA) was improved in Algorithm structure, Tent chaotic mapping was introduced to initialize the population, and the positions of leaders and followers were updated based on the adaptive spiral search strategy. The validity of the algorithm is verified by test function. Finally, the specific example is solved by MATLAB programming, and the improved multi-objective Salp Swarm Algorithm (IMOSSA) is used to obtain the capacity configuration scheme, which provides reference for the optimization design of independent photovoltaic hydrogen storage system.https://www.frontiersin.org/articles/10.3389/fenrg.2022.1077462/fullrenewable energyhydrogen storagecapacity configurationIMOSSA algorithmmulti-objective |
| spellingShingle | Meng Gaojun Ding Yanwen Giovanni Pau Yu Linlin Tan Wenyi Multi-objective capacity optimization configuration of independent wind-photovoltaic- hydrogen-battery system based on improved MOSSA algorithm Frontiers in Energy Research renewable energy hydrogen storage capacity configuration IMOSSA algorithm multi-objective |
| title | Multi-objective capacity optimization configuration of independent wind-photovoltaic- hydrogen-battery system based on improved MOSSA algorithm |
| title_full | Multi-objective capacity optimization configuration of independent wind-photovoltaic- hydrogen-battery system based on improved MOSSA algorithm |
| title_fullStr | Multi-objective capacity optimization configuration of independent wind-photovoltaic- hydrogen-battery system based on improved MOSSA algorithm |
| title_full_unstemmed | Multi-objective capacity optimization configuration of independent wind-photovoltaic- hydrogen-battery system based on improved MOSSA algorithm |
| title_short | Multi-objective capacity optimization configuration of independent wind-photovoltaic- hydrogen-battery system based on improved MOSSA algorithm |
| title_sort | multi objective capacity optimization configuration of independent wind photovoltaic hydrogen battery system based on improved mossa algorithm |
| topic | renewable energy hydrogen storage capacity configuration IMOSSA algorithm multi-objective |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2022.1077462/full |
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