{"title":"Design of Photovoltaic Power Station Intelligent Operation and Maintenance System Based on Digital Twin","authors":"Jiaxin Liu, Xuecheng Lu, Yuxiao Zhou, Juyong Cui, Shuai Wang, Zhenwei Zhao","doi":"10.1109/ICRAE53653.2021.9657759","DOIUrl":null,"url":null,"abstract":"With the proposal of “peak carbon dioxide emissions” and “carbon neutrality” goals, photovoltaic power generation as a representative of green renewable energy, its strategic position is prominent. Photovoltaic industry will face more opportunities and challenges. However, in the traditional mode of photovoltaic power station operation and inspection, a large number of operation and inspection personnel need to be configured, so it is difficult to obtain equipment information timely and comprehensively. In this paper, we propose a photovoltaic power station intelligent operation and maintenance system based on digital twin. The mapping of real photovoltaic power station is constructed in virtual space to realize intelligent operation and maintenance of photovoltaic power station. We build a 3D scene model to simulate the real environment. Two artificial intelligence algorithms are designed to realize the real-time power prediction and fault diagnosis of the digital twin system. This paper discusses the different components of this Digital twin photovoltaic power station operation and maintenance system.","PeriodicalId":338398,"journal":{"name":"2021 6th International Conference on Robotics and Automation Engineering (ICRAE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 6th International Conference on Robotics and Automation Engineering (ICRAE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRAE53653.2021.9657759","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
With the proposal of “peak carbon dioxide emissions” and “carbon neutrality” goals, photovoltaic power generation as a representative of green renewable energy, its strategic position is prominent. Photovoltaic industry will face more opportunities and challenges. However, in the traditional mode of photovoltaic power station operation and inspection, a large number of operation and inspection personnel need to be configured, so it is difficult to obtain equipment information timely and comprehensively. In this paper, we propose a photovoltaic power station intelligent operation and maintenance system based on digital twin. The mapping of real photovoltaic power station is constructed in virtual space to realize intelligent operation and maintenance of photovoltaic power station. We build a 3D scene model to simulate the real environment. Two artificial intelligence algorithms are designed to realize the real-time power prediction and fault diagnosis of the digital twin system. This paper discusses the different components of this Digital twin photovoltaic power station operation and maintenance system.