Research on Digital Twin System of Photovoltaic Array
| Autor: | Ding, K., Chen, X., Zhang, J., Weng, S., Feng, L., Hamelmann, F.U. |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| DOI: | 10.4229/eupvsec20212021-5do.1.3 |
| Popis: | 38th European Photovoltaic Solar Energy Conference and Exhibition; 1018-1021 To ensure the smooth operation of photovoltaic (PV) power plants and provide stable power output for the power system, a reliability evaluation of the power output of the PV power plant is required. PV array is a significant part of the PV power plant. The modelling technique of the digital twin is used to build a digital twin model of the PV array that maintains a simultaneous mapping to the output characteristics of the physical PV array and can therefore be used as the basis for PV array reliability assessment. Based on the existing PV array modeling research, the dynamic bayesian network (DBN) is used to realize the adaptive update of PV array model parameters and complete the construction of the digital twin model. The digital twin model enables real-time derivation of model parameters, prediction of output power, and reliability assessment of PV array. The research conducted in this paper is a preliminary attempt at digital twin technology in the PV field, hoping to promote digital twin application in the PV field. |
| Databáze: | OpenAIRE |
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