NSNPSO-INC: A Simplified Particle Swarm Optimization Algorithm for Photovoltaic MPPT Combining Natural Selection and Conductivity Incremental Approach

Project Code :TEPGPS976

Objective

The Main objective of this paper is to develop a simplified hybrid NSNPSO-INC MPPT algorithm that improves convergence speed, tracking accuracy, and robustness of photovoltaic systems under partial shading and dynamic irradiance conditions.

Abstract

This paper proposes a simplified NSNPSO-INC based maximum power point tracking (MPPT) algorithm for photovoltaic systems operating under partial shading and varying irradiance conditions. The proposed method integrates a natural selection–based simplified particle swarm optimization (NSNPSO) with the incremental conductance (INC) technique to enhance tracking performance. The natural selection mechanism retains high-fitness particles while eliminating weak ones, improving global search capability and avoiding local maxima. Simplification of the particle velocity update reduces computational burden and improves stability. The INC method is employed to achieve fast final convergence and minimize steady-state oscillations. The combined NSNPSO-INC approach ensures rapid convergence, high tracking efficiency, and robust operation under dynamic environmental conditions, making it suitable for real-time photovoltaic MPPT applications.

Keywords: PV array, MPPT, PSO algorithm, boost converter.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Learning Outcomes

·         Introduction to Matlab/Simulink

·         How to start with MATLAB

·         Learn about solar mppt techniques

·         Learn about Renewable energy sources, solar power generation

·         About Matlab language

·         About tools & libraries

·         Application of Matlab/Simulink

·         Basics on Matlab/Simulink

·         Introduction to converters

·         Introduction to switches

·         We can learn about dc micro grid system

·         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

 

 

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