Partial Shading Condition Data for Validating Direct GMPP Computation in Photovoltaic Systems

The dataset titled "Partial Shading Condition Data for Validating Direct GMPP Computation in Photovoltaic Systems" contains empirical results used to validate a novel computational approach for directly determining the Global Maximum Power Point (GMPP) in photovoltaic (PV) systems. The data specifically focuses on various partial shading conditions (PSCs) and how they affect the tracking and prediction of the GMPP.Key Features of the Data:Partial Shading Conditions (PSCs): The dataset includes information from multiple shading scenarios, where the irradiance across different modules in a series-connected PV array is varied. These conditions represent real-world shading patterns observed in PV systems.MPP Measurements: For each PSC, the maximum power point (MPP) voltage and current values are recorded for individual modules, as well as for the entire PV array under those specific shading conditions. These MPP values are crucial for validating the hypothesis that the GMPP can be directly computed from the sum of the individual active module MPPs, adjusted for the negative contributions of bypassed modules.Validation of Hypothesis: The data is structured to test and validate the hypothesis that the GMPP can be predicted without the need for search-based algorithms by relying on the contribution of non-bypassed modules. The dataset includes both the actual GMPP and the estimated GMPP values based on the proposed method.Irradiance and Temperature Levels: The data captures the irradiance values for each module, as well as temperature variations, which are integral to understanding how they influence the performance of the modules under partial shading. However, the proposed model does not rely on real-time environmental measurements for GMPP predictionApplications:Model Validation: This data is essential for validating the performance of the Environmental Sensorless Neural Network (ESNN) and its integration into PV systems for GMPP detection.Improvement of GMPP Algorithms: The dataset can be used to refine existing MPPT (Maximum Power Point Tracking) algorithms, particularly under partial shading conditions.Solar Energy Research: It serves as a critical resource for researchers working to enhance the efficiency and robustness of PV systems under real-world dynamic shading and environmental conditions.