{"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}
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.