Certificate Verification        Student Ambassador          Quick Pay        Request For Enquiry
Sell Your Project      Apply for franchise          
  • 0877-2261612       
  • +91-9030 333 433
  • +91-9966 062 884

A Novel Approach For Pv System Based On Metaheuristic Algorithm Connected To The Grid Using Fs-mpc Controller

A NOVEL APPROACH FOR PV SYSTEM BASED ON METAHEURISTIC ALGORITHM CONNECTED TO THE GRID USING FS-MPC CONTROLLER

  • Project Code :
  • TEMACS05
  • .
Buy Now

Cost will be available soon

Download Project Document / Synopsis

A NOVEL APPROACH FOR PV SYSTEM BASED ON METAHEURISTIC ALGORITHM CONNECTED TO THE GRID USING FS-MPC CONTROLLER

A novel approach for PV system based on metaheuristic algorithm connected to the grid using FS-MPC controller

 

Abstract—

                        Since the ambient temperature and solar irradiance are not constant, and the P-V characteristic curve of a photovoltaic (PV) module is nonlinear, it is hard for a photovoltaic system to operate at the maximum power point (MPP). In fact, using a maximum power point tracking algorithm (MPPT) to reach the MPP is significant when the climatic conditions change during the day. This paper presents a novel approach for grid-connected PV systems based on a Practical Swarm Optimization (PSO) metaheuristic algorithm to ensure the MPPT functionality as well as generating the reference power for the DC-Bus voltage regulation. The proposed method is compared with the conventional MPPT method Perturb and Observe (P&O) under different irradiance variations. The three-phase, two-level voltage source inverter (VSI) is controlled by a finite set model predictive controller (FS-MPC). The simu- lation results show that the proposed system is more efficient than the conventional method and has good dynamic performances.

innovative
innovative Request Video

Package Features

  • 12/7 Support
  • Voice Conference
  • Video On Demand
  • Remote Connectivity
  • Customization
  • Live Chat Support
  • Toll Free Support

Includes

  • Complete Source Code
  • Complete Documentation
  • Complete Presentation Slides
  • Screenshots
  • Execution Procedure
  • Readme File
  • Addons
  • Video Tutorials

Leave Your Comment!

Your email address will not be published. Required fields are marked *

Call us : (+91) 9030333433 / 08772261612
Mail us : takeoffstudentprojects@gmail.com
Mail us : info@takeoffprojects.com