{"title":"分布式智能光伏监控运维平台研究","authors":"H. Niu, Chaohui Wu, Zhuo Ma","doi":"10.1109/ICPET55165.2022.9918317","DOIUrl":null,"url":null,"abstract":"The level of photovoltaic power generation in China is still in its infancy. Affected by many factors, photovoltaic power stations have frequent failures. According to the requirements of CHN energy on the intelligent operation and maintenance platform of photovoltaic power generation, this paper starts from the functional requirements of CHN energy from the two aspects of field level fault diagnosis, operation and maintenance and management requirements and group level supervision requirements, takes the overall reliability data to provide a reliable reference for project risk assessment and asset management, innovatively puts forward an improved intelligent data mining method, and determines the functional framework of the intelligent operation and maintenance platform of photovoltaic power generation, It has realized the analysis and evaluation of the operation status of photovoltaic power stations and the intelligent operation and maintenance of the wide area and all links of China's energy photovoltaic industry, and improved the fine and intelligent operation level of CHN energy photovoltaic power stations, which is of great significance to improve the safety of photovoltaic power generation and scientifically promote the comprehensive and coordinated development of photovoltaic industry!","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Distributed Intelligent Photovoltaic Monitoring Operation and Maintenance Platform\",\"authors\":\"H. Niu, Chaohui Wu, Zhuo Ma\",\"doi\":\"10.1109/ICPET55165.2022.9918317\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The level of photovoltaic power generation in China is still in its infancy. Affected by many factors, photovoltaic power stations have frequent failures. According to the requirements of CHN energy on the intelligent operation and maintenance platform of photovoltaic power generation, this paper starts from the functional requirements of CHN energy from the two aspects of field level fault diagnosis, operation and maintenance and management requirements and group level supervision requirements, takes the overall reliability data to provide a reliable reference for project risk assessment and asset management, innovatively puts forward an improved intelligent data mining method, and determines the functional framework of the intelligent operation and maintenance platform of photovoltaic power generation, It has realized the analysis and evaluation of the operation status of photovoltaic power stations and the intelligent operation and maintenance of the wide area and all links of China's energy photovoltaic industry, and improved the fine and intelligent operation level of CHN energy photovoltaic power stations, which is of great significance to improve the safety of photovoltaic power generation and scientifically promote the comprehensive and coordinated development of photovoltaic industry!\",\"PeriodicalId\":355634,\"journal\":{\"name\":\"2022 4th International Conference on Power and Energy Technology (ICPET)\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 4th International Conference on Power and Energy Technology (ICPET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPET55165.2022.9918317\",\"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 4th International Conference on Power and Energy Technology (ICPET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPET55165.2022.9918317","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Distributed Intelligent Photovoltaic Monitoring Operation and Maintenance Platform
The level of photovoltaic power generation in China is still in its infancy. Affected by many factors, photovoltaic power stations have frequent failures. According to the requirements of CHN energy on the intelligent operation and maintenance platform of photovoltaic power generation, this paper starts from the functional requirements of CHN energy from the two aspects of field level fault diagnosis, operation and maintenance and management requirements and group level supervision requirements, takes the overall reliability data to provide a reliable reference for project risk assessment and asset management, innovatively puts forward an improved intelligent data mining method, and determines the functional framework of the intelligent operation and maintenance platform of photovoltaic power generation, It has realized the analysis and evaluation of the operation status of photovoltaic power stations and the intelligent operation and maintenance of the wide area and all links of China's energy photovoltaic industry, and improved the fine and intelligent operation level of CHN energy photovoltaic power stations, which is of great significance to improve the safety of photovoltaic power generation and scientifically promote the comprehensive and coordinated development of photovoltaic industry!