Reduced Voltage Sensors Based UPQC Tied Solar PV System Enabling Power Quality Improvement

Also Available Domains Distribution Systems|Power Quality

Project Code :TEPGPS733

Objective

The main objective of this project is to improve the power quality (PQ) indices in the grid by eliminating voltage sensors (grid side) in the overall control.

Abstract

This paper proposes, an enhanced second-order generalized integrator (ESOGI) based control method for the grid integrated unified power quality conditioner (UPQC) with a solar photovoltaic (PV) system. Moreover, presented control method effectively eliminates the DC offset from the input signals and estimates the fundamental element (FE), which is processed to compute the reference signals. The UPQC-PV system comprises two voltage source converters, one connected in a parallel at the point of common coupling for load compensation and the other connected in series via an injecting transformer for voltage compensation. The comparative performance is demonstrated in this work to validate the effectiveness of presented control over state-of-art control algorithms. Moreover, the cost analysis of the presented control is also discussed with the traditional controllers. The performances are analyzed at various dynamic scenarios such as load unbalancing; distorted grid voltages; symmetrical and asymmetrical voltages swell and sag; and change in solar insolation, etc. The harmonics and magnitudes of load side voltages are restricted as per the IEEE standard 1159. The grid currents and load voltages are well sinusoidal with their total harmonic distortions in the permissible range state in the IEEE standard 519.

Keywords: Active power filters, fundamental component estimation, solar energy generation, UPQC, power quality

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 DC-DC Converters

·         We can learn about solar PV systems

·         We can learn about voltage multiplier

·         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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