Comparative analysis of Direct and Indirect Model Reference Adaptive Control by Extended Kalman Filter
Volume-3 | Issue-3
Smart Wires and Modular FACTS Controllers for Smart Grid Applications: A Review
Volume-3 | Issue-4
Integrated Renewable Energy Management System for Reduced Hydrogen Consumption using Fuel Cell
Volume-3 | Issue-1
Wireless Power Transfer Device Based on RF Energy Circuit and Transformer Coupling Procedure
Volume-3 | Issue-3
Artificial Intelligence based Business Process Automation for Enhanced Knowledge Management
Volume-3 | Issue-2
Unmanned Aerial Vehicle with Thermal Imaging for Automating Water Status in Vineyard
Volume-3 | Issue-2
Design of Effective Smart Communication System for Impaired People
Volume-2 | Issue-4
Automated Multimodal Fusion Technique for the Classification of Human Brain on Alzheimer’s Disorder
Volume-3 | Issue-3
Prediction of Energy Consumption by Ships at the port using Deep Learning
Volume-3 | Issue-2
A Novel Adaptive Fuzzy MPPT Algorithm under Changing Atmospheric Conditions
Volume-3 | Issue-4
Power Transfer Capability Recognition in Deregulated System under Line Outage Condition Using Power World Simulator
Volume-3 | Issue-4
Transformer Oil Diagnostic Tests Analysis using Statistical Correlation Technique
Volume-4 | Issue-3
Design of Inverter Voltage Mode Controller by Backstepping Technique for Nonlinear Power System Model
Volume-3 | Issue-4
Automated Multimodal Fusion Technique for the Classification of Human Brain on Alzheimer’s Disorder
Volume-3 | Issue-3
Performance Analysis of Multiple Pico Hydro Power Generation
Volume-2 | Issue-2
Energy Efficient Data Mining Approach for Estimating the Diabetes
Volume-3 | Issue-2
Wireless Power Transfer Device Based on RF Energy Circuit and Transformer Coupling Procedure
Volume-3 | Issue-3
Prediction of Energy Consumption by Ships at the port using Deep Learning
Volume-3 | Issue-2
A Novel Adaptive Fuzzy MPPT Algorithm under Changing Atmospheric Conditions
Volume-3 | Issue-4
Unmanned Aerial Vehicle with Thermal Imaging for Automating Water Status in Vineyard
Volume-3 | Issue-2
Volume - 5 | Issue - 1 | march 2023
Published
26 April, 2023
Electricity generation using renewable energy resources rather than fossil fuels reduces gobar gas emissions from the power sector and prevents pollution. The best alternative to conventional energy sources is solar photovoltaic (PV) generation; however, it has some significant disadvantages, including high initial costs, poor photoconversion efficiency, and climatic dependencies. In order to overcome this, PPT techniques are used. The projected work provides a solar power system which tracks the maximum power point using Artificial Neural Network and Perturb and Observe algorithm. Additionally, it adds a new setup for the system that links the photovoltaic array as well as the battery to the system inverter’s DC-link through a single DC-DC converter that can act as both charge controller and Maximum Power Point Tracking (MPPT) device at the same time. When solar energy production exceeds demand, the excess energy is stored in batteries and provided during periods of very low irradiance. The DC voltage is converted into AC voltage using an inverter. The benefit of this technique is that it has greater tracking accuracy. For validation, the proposed model has been analyzed by using MATLAB/Simulink.
KeywordsPhotovoltaic MPPT Artificial Neural Network Perturb and Observe Single DC-DC converter
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