Research on Auxiliary Review Method for Distributed PV Grid-Connected Schemes Based on Data Mining Algorithms

The traditional review process for distributed photovoltaic (PV) grid-connected schemes primarily relies on manual experience, which presents several challenges, including low efficiency, unreasonable scheme outcomes, and deviations that may compromise the safe and stable operation of the distribution network. To address these issues, this study proposes a model and method for auxiliary review of distributed PV grid-connected schemes using data mining algorithms. First, the data preprocessing module collects and organizes distributed PV materials. Next, a technical review module, based on the Bag-of-Words Model, Word Embedding Model, and Part-of-Speech Tagging algorithm, is employed to conduct both a formal preliminary review and a detailed technical evaluation. Finally, the review comments are automatically generated through the review comments issuing module. This method is applied to the review of distributed PV grid-connected schemes, demonstrating its effectiveness and practicality.