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Microgrid Robust Optimization Method
This paper proposes a closed-loop technical framework combining high-confidence interval prediction, second-order cone convex relaxation, and robust optimization to facilitate renewable energy integration in distribution networks via smart microgrid technology. First, a hybrid prediction model. . Abstract-This paper proposes a mean-variance optimization model for the grid-connected microgrid energy management system (MG-EMS).Read More Download PDF
Microgrid dispatch optimization MATLAB
This project provides tools to simulate energy management and various dispatch algorithms in community microgrids with distributed energy resources (DERs). The primary features are:.Read More Download PDF
Photovoltaic panel identification algorithm
This paper presents a robust framework for detecting faults in PV panels using Convolutional Neural Networks (CNNs) for feature extraction and Bitterling Fish Optimization (BFO) algorithm for feature selection. The system integrates five pre-trained CNN architectures—GoogleNet, SqueezeNet. . Therefore, employing an efficient Artificial Intelligence (AI) algorithm to autonomously detect defects in solar panels is crucial. Generally, training or ground truth labels are not available for large solar power plants, thus the proposed model is highly recommended. .Read More Download PDF
