High-Performance Analysis of Smart Grid Based on Intelligent Controller
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Abstract
Photovoltaic power from the sun's rays is becoming increasingly common in modern distribution networks due to environmental concerns. Regarding the outside environment, the photovoltaic modules' output power is not linear. This work evaluates the ideal performance for energy from renewable sources injection into distribution networks using an intelligent controller based on the Adaptive Neuro-Fuzzy Inference Systems (ANFIS) technique in safety employed through communication with every Protective Devices (PDs) within the grid, as well as an alternative approach that employs communication across the PDs in the same line to maximize the performance of photovoltaic systems (PVS). The protection mechanisms were further validated utilizing scaled-grid experiments and simulations on the MATLAB platform. Additionally, the current and voltage distortion effects brought on by harmonics on the electricity distribution system's feeder network are discussed in the comparison of the characteristics of the distribution system with different levels of solar PV system penetration. The simulation results demonstrated that a large harmonic dispersal level was injected as the solar electricity system's penetrating capacity increased, implying that the solar power array should only be connected to the network's optimum carrying capacity. The main characteristics of the technical data are employed in MATLAB/SIMULINK to analyze the whole model. The model's performance was examined under various weather and partial shade conditions. The gratifying results demonstrated the great performance of the system based on an intelligent controller. The expanded grid was created for smart grids to promote the experimental behavior of protection measures for traditional and AI-based defenses.
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