动态调节的光伏制氢最优控制策略

Qinggen Li, Haiying Dong
{"title":"动态调节的光伏制氢最优控制策略","authors":"Qinggen Li, Haiying Dong","doi":"10.1109/AEES56284.2022.10079305","DOIUrl":null,"url":null,"abstract":"Because of the fluctuation and periodicity of photovoltaic power generation, resulting in low energy conversion efficiency and low photovoltaic utilization rate of the photovoltaic hydrogen production system, an optimal control strategy for the photovoltaic hydrogen production system with dynamic regulation characteristics is proposed. This strategy takes the maximum hydrogen production rate and the minimum total number of electrolytic cells as the optimization objectives and establishes the optimization control model of the direct coupling system of photovoltaic hydrogen production. According to the real-time photovoltaic output, the particle swarm optimization algorithm is used to obtain the optimal solution for the electrolytic cell configuration. On this basis, the internal structure of the electrolytic cell is adjusted to achieve the purpose of dynamic adjustment. Combined with the measured radiation data in a certain area, the simulation analysis verifies the feasibility and effectiveness of the optimal control strategy of the photovoltaic hydrogen generation system to improve the energy conversion efficiency of the direct coupling system of photovoltaic and electrolyzer and improve the utilization rate of photovoltaic.","PeriodicalId":227496,"journal":{"name":"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Optimal Control Strategy for Photovoltaic Hydrogen Production with Dynamic Regulation\",\"authors\":\"Qinggen Li, Haiying Dong\",\"doi\":\"10.1109/AEES56284.2022.10079305\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Because of the fluctuation and periodicity of photovoltaic power generation, resulting in low energy conversion efficiency and low photovoltaic utilization rate of the photovoltaic hydrogen production system, an optimal control strategy for the photovoltaic hydrogen production system with dynamic regulation characteristics is proposed. This strategy takes the maximum hydrogen production rate and the minimum total number of electrolytic cells as the optimization objectives and establishes the optimization control model of the direct coupling system of photovoltaic hydrogen production. According to the real-time photovoltaic output, the particle swarm optimization algorithm is used to obtain the optimal solution for the electrolytic cell configuration. On this basis, the internal structure of the electrolytic cell is adjusted to achieve the purpose of dynamic adjustment. Combined with the measured radiation data in a certain area, the simulation analysis verifies the feasibility and effectiveness of the optimal control strategy of the photovoltaic hydrogen generation system to improve the energy conversion efficiency of the direct coupling system of photovoltaic and electrolyzer and improve the utilization rate of photovoltaic.\",\"PeriodicalId\":227496,\"journal\":{\"name\":\"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AEES56284.2022.10079305\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEES56284.2022.10079305","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

针对光伏发电的波动性和周期性导致光伏制氢系统能量转换效率低、光伏利用率低的问题,提出了一种具有动态调节特性的光伏制氢系统最优控制策略。该策略以最大产氢速率和最少电解槽总数为优化目标,建立光伏制氢直接耦合系统的优化控制模型。根据光伏实时输出,采用粒子群优化算法求解电解槽配置的最优解。在此基础上对电解槽内部结构进行调整,达到动态调整的目的。结合某区域实测辐射数据,仿真分析验证了光伏制氢系统最优控制策略的可行性和有效性,提高了光伏与电解槽直接耦合系统的能量转换效率,提高了光伏的利用率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Optimal Control Strategy for Photovoltaic Hydrogen Production with Dynamic Regulation
Because of the fluctuation and periodicity of photovoltaic power generation, resulting in low energy conversion efficiency and low photovoltaic utilization rate of the photovoltaic hydrogen production system, an optimal control strategy for the photovoltaic hydrogen production system with dynamic regulation characteristics is proposed. This strategy takes the maximum hydrogen production rate and the minimum total number of electrolytic cells as the optimization objectives and establishes the optimization control model of the direct coupling system of photovoltaic hydrogen production. According to the real-time photovoltaic output, the particle swarm optimization algorithm is used to obtain the optimal solution for the electrolytic cell configuration. On this basis, the internal structure of the electrolytic cell is adjusted to achieve the purpose of dynamic adjustment. Combined with the measured radiation data in a certain area, the simulation analysis verifies the feasibility and effectiveness of the optimal control strategy of the photovoltaic hydrogen generation system to improve the energy conversion efficiency of the direct coupling system of photovoltaic and electrolyzer and improve the utilization rate of photovoltaic.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信