Improved Gaussian Filter based Solar PVBES Microgrid with PLL based Islanding detection and Seamless Transfer Control

Also Available Domains DC - AC Converters

Project Code :TEPGPS488

Objective

The main objective of this project is to improve the dynamic performance of the system and seamless transfer control for solar photovoltaic battery energy storage.

Abstract

This work presents an improved Gaussian filter with phase-locked loop (PLL) based grid monitoring and seamless transfer control for solar photovoltaic battery energy storage (PV-BES) based microgrid with improved power quality. The PV-BES microgrid comprises of a PV array and a battery, interfaced to the utility through a voltage source converter (VSC), and performs multiple tasks. In grid-connected mode, the improved Gaussian filter with quadrature signal generator based second-order generalized integrator (QSG-SOGI) based pre-filtering provides solar PV power to the nonlinear loads and the utility grid, along with providing reactive power compensation and power quality improvement at the point of common coupling (PCC).

 To regulate the power absorbed or discharged by the BES, a bidirectional converter is used. The PV feed-forward term enables PV power injection and also improves the dynamic performance of the system. On grid outage, the controller transits the PV-BES microgrid to standalone mode of operation ensuring uninterrupted supply to the load. The effectiveness of the controller is tested in various scenarios and is verified through experimentation. The controller has satisfied the specifications set by the IEEE 519-2014 power quality standard and IEEE 1547-2018 (revised) standard for interconnection and interoperability of distributed energy resources.

Index Termsβ€” Battery, Gaussian Control, Islanding Detection, Microgrid, Photovoltaic (PV) Array, 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
  • Introduction to controllers.
  • Study of PWM techniques.
  • Project Development Skills:
    • Problem analyzing skills
    • Problem solving skills
    • Creativity and imaginary skills
    • Programming skills
    • Deployment

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