Performance Analysis of Renewable Energy Based Distributed Generation System Using ANN Tuned UPQC
Also Available Domains Power Quality|Wind Power Generation
Objective
The main objective of this project is to analysis the performance of the renewable energy based distribution system by using ANN tuned UPQC
Abstract
In this project, the application of an ANN based UPQC to enhance the power quality of a three-phase Low-voltage network connected to a hybrid distribution generation (DG) system. The proposed work emphases the detailed performance analysis of a distributed generation system that integrates a solar PV and wind energy system by utilizing Unified Power Quality Conditioner (UPQC) with an artificial neural network (ANN) controller with respect to proportional-integral (PI) controller. The core objective of the proposed ANN is to offer good steady and dynamic state performance compared to the PID controller. The system called UPQC-ANN-RE feeds energy generated by a photovoltaic array and a wind turbine into the electrical grid and loads attached to a system of 3-phase 4-wire electrical distribution. In addition to inserting active/real power in the utility grid, the system of UPQC-ANN-RE functions as a UPQC, improving power quality signs e.g., voltage and current harmonics and power factor. A detailed analysis of the active-real power flow by converters is carried out to allow a good understanding of the operation of the UPQC-ANN-RE. The simulation outcomes are presented to assess the dynamic and steady state performance of the system of UPQC-ANN-RE connected to an electrical distribution system and to compare the consequences with the PI controller. The simulation results can be evaluated by using Matlab/Simulink Software.
Keywords: Distributed generation system, unified power quality conditioner, artificial neural network, power quality, renewable energy sources.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Software Configuration:
Operating System : Windows 7/8/10
Application Software : Matlab/Simulink
Hardware Configuration:
RAM : 8 GB
Processor : I3 / I5(Mostly prefer)
Learning Outcomes
· Introduction to Matlab/Simulink
· What is EISPACK & LINPACK
· How to start with MATLAB
· About Matlab language
· About tools & libraries
· Application of Matlab/Simulink
· About Matlab desktop
· Features of Matlab/Simulink
· Basics on Matlab/Simulink
· We can learn about Hybrid resources
· We can learn about UPQC topology
· We can learn about ANN
· Project Development Skills:
o Problem analyzing skills
o Problem solving skills
o Creativity and imaginary skills
o Programming skills
o Deployment
o Testing skills
o Debugging skills
o Project presentation skills
o Thesis writing skills
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Disclaimer - Takeoff Edu Group Projects, are not associated or affiliated with IEEE, in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, and not projects of or by IEEE.
