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Capacity optimization allocation method of photovoltaic-temperature difference-hydrogen-storage hybrid micro-energy system based on SAO algorithm
The capacity optimization allocation of hybrid micro-energy systems is an important link in micro-energy systems, which can effectively improve the reliability and economy of the power grid. In this paper, the capacity optimization allocation method of a photovoltaic-temperature difference-hydrogen-...
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Published in: | Journal of physics. Conference series 2024-03, Vol.2728 (1), p.12014 |
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description | The capacity optimization allocation of hybrid micro-energy systems is an important link in micro-energy systems, which can effectively improve the reliability and economy of the power grid. In this paper, the capacity optimization allocation method of a photovoltaic-temperature difference-hydrogen-storage hybrid micro-energy system is studied. First, a capacity optimization configuration model based on photovoltaic, temperature difference, and hydrogen storage hybrid micro-energy system was established to maximize revenue. Then, the SAO algorithm is used to optimize its strategy. When the strategy does not change, it indicates that the income has been maximized. Finally, concerning the snow ablation mechanism, it can balance development and exploration well and can optimize the global optimal solution even in a more complex environment. The proposed method can ensure the reliability under premise of relatively low cost, and effectively improve the rationality of the power grid capacity allocation method in the photovoltaic thermal power generation scenario. |
doi_str_mv | 10.1088/1742-6596/2728/1/012014 |
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The proposed method can ensure the reliability under premise of relatively low cost, and effectively improve the rationality of the power grid capacity allocation method in the photovoltaic thermal power generation scenario.</description><subject>Ablation</subject><subject>Algorithms</subject><subject>Energy storage</subject><subject>Hybrid systems</subject><subject>Hydrogen storage</subject><subject>Optimization</subject><subject>Reliability</subject><subject>System effectiveness</subject><subject>Temperature gradients</subject><issn>1742-6588</issn><issn>1742-6596</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNqFkE1LxDAQhosoqKu_wYDnuvnoNulRFr9A8KCeQ5pMtpFtU5OsUP-F_9gsFT06l5lh5n1neIriguArgoVYEl7Rsl419ZJymtslJhST6qA4-Z0c_tZCHBenMb5hzHLwk-JrrUalXZqQH5Pr3adKzg9Ibbdez2UPqfMGeYvGzif_4bdJOV0m6EcIKu0CIOOshQCDhrKbTPAbGMqYfFAbQN3UBmdQ73TwJQwQNhOKU8xy1KoI2XhAz9dP-eLGB5e6_qw4smob4fwnL4rX25uX9X35-HT3sL5-LDVlTVXWRghhqeGtZlYTxjGxK9O0FFtLakI0KLsCqjirWtsYzHhlhaG4VQbEqrZsUVzOvmPw7zuISb75XRjySUmbWjSsYpzmLT5v5fdjDGDlGFyvwiQJlnv-ck9W7inLPX9J5Mw_K9msdH78s_5P9Q1SbYwi</recordid><startdate>20240301</startdate><enddate>20240301</enddate><creator>Pi, Linlin</creator><creator>Tian, Liguo</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20240301</creationdate><title>Capacity optimization allocation method of photovoltaic-temperature difference-hydrogen-storage hybrid micro-energy system based on SAO algorithm</title><author>Pi, Linlin ; Tian, Liguo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2394-6d888f2d7bc3fc13701f5d9b20ff1611ceaf5e2a734bf9d0374f8d20bade856f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Ablation</topic><topic>Algorithms</topic><topic>Energy storage</topic><topic>Hybrid systems</topic><topic>Hydrogen storage</topic><topic>Optimization</topic><topic>Reliability</topic><topic>System effectiveness</topic><topic>Temperature gradients</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pi, Linlin</creatorcontrib><creatorcontrib>Tian, Liguo</creatorcontrib><collection>Institute of Physics Open Access Journal Titles</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Journal of physics. 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subjects | Ablation Algorithms Energy storage Hybrid systems Hydrogen storage Optimization Reliability System effectiveness Temperature gradients |
title | Capacity optimization allocation method of photovoltaic-temperature difference-hydrogen-storage hybrid micro-energy system based on SAO algorithm |
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