부산대학교 도서관

Due to nonlinear I-V characteristics solar output, fault detection methods may be encountered difficulties, which can cause latent errors and Production decreases. Error detection methods And management in solar systems is constantly changing To solve this problem. like a strange mistake Research methods, model-based methods, product development signal analysis, statistical-based methods, and All machine learning methods are well studied Pura. However, it is in various stages of current practice shortcomings, especially in terms of fit For solar systems of different sizes. In this study, a multi-scale two-stage optical and electrical fault detection Surveillance as a way to address these information and system security, performance, and progress What they rely on. More complex error detection The objectives of this plan are, inter alia Scale and many phases. This study also confirms it and makes recommendations on future issues Solar error monitoring and detection. in To help researchers and policymakers do more In order to adopt effective fault detection and monitoring strategies Photovoltaic system, this research aims to provide insight in the pros and cons of the river Treatment as well as new ideas.