A Two-Stage Optimization Method for Real-Time Parameterization of PV-Farm Digital Twin

التفاصيل البيبلوغرافية
العنوان: A Two-Stage Optimization Method for Real-Time Parameterization of PV-Farm Digital Twin
المؤلفون: Woo, Jong Ha, Xiao, Qi, Paduani, Victor Daldegan, Lu, Ning
سنة النشر: 2024
المجموعة: Computer Science
مصطلحات موضوعية: Electrical Engineering and Systems Science - Systems and Control
الوصف: Digital twins (DTs) are high-fidelity virtual models of physical systems. This paper details a novel two-stage optimization method for real-time parameterization of photovoltaic digital twins (PVDTs) using field measurements. Initially, the method estimates equivalent irradiance from PV power, voltage, and current data, eliminating the need for direct irradiance sensors. This is crucial for tuning the DT's parameters to actual environmental conditions, thereby improving power prediction accuracy. The second stage focuses on refining these parameters by minimizing discrepancies between measured and predicted outputs. This optimization utilizes the estimated equivalent irradiance as a model input, maintaining synchronization with real-world conditions. Parameter updates are event-trigger, launched when deviations exceed predefined thresholds. This strategy optimizes prediction accuracy and manages communication loads efficiently. Validated with extensive data from a PV farm, this approach outperforms existing methodologies in predictive accuracy and operational efficiency, significantly improving the performance DTs in real-time grid operations.
Comment: 11 pages, 12 figures, 4 tables
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2410.04244
رقم الانضمام: edsarx.2410.04244
قاعدة البيانات: arXiv