Optimization of FOPID controller for harmonic removal of solar system using ACO algorithm

Our project is the removal of harmonics in active power in solar system by using ACO optimized FOPID controller. Transient occur in generated power in solar system due to non linear devices like inverter or due to variations in generation and load as sun intensity is not constant. Harmonics occur in

Project Title

Optimization of FOPID controller for harmonic removal of solar system using ACO algorithm

Project Area of Specialization

Electrical/Electronic Engineering

Project Summary

Our project is the removal of harmonics in active power in solar system by using ACO optimized FOPID controller. Transient occur in generated power in solar system due to non linear devices like inverter or due to variations in generation and load as sun intensity is not constant. Harmonics occur in frequency , current , voltage, active and reactive power. Our objective of project is to remove harmonics in active power in solar system. So FOPID controller minimize harmonics by minimize error that is difference between desired and actual power. Due to harmonics, there comes overshoot , transient occur  in active power due to which sensitive loads may be burnt or harmed as power gets overshoots and undershoots. Desired power of load is 5 KW and if 7 KW power goes to load due to harmonics, error comes to be -2KW which is minimized by controller by sending control signal to inverter that inverter generate +2KW of power to neutralize -2KW of error . Harmonics minimize or not depend on control signal generated by controller as control signal determines duty cycle . Controller generate control signal which remove error or not depend on gains values of it's transfer function. Gains of FOPID controller are Kp, Ki, Kd ,lamba and meu. Depend on these gains values, controller generate control signal to minimize error. By using hit and trial method, it takes lot of time and we don't get optimum values of gains to get optimum performance of controller so to get optimum values of gains, we implent Ant Colony Optimization algorithm as it is based on ants behaviour. We define some artificial ants in this algorithm and they use some iterations to get optimum values of gains by using it's logic  . It uses phermones to communicate with them and to check which ant get optimum value then find different values nearest to it to get further optimum value in next iteration.The objective function of ACO optimized FOPID controller is to minimize integral square error (ISE). That by minimizing ISE , controller remove harmonics in minimum iterations to get desired repsonce in less time. 

Project Objectives

Objective of Project:

1) To remove/ minimize through Optimized Controller

2) Optimization of FOPID controller to remove/minimize harmonics in solar grid system using ACO algorithm

Project Implementation Method

Project is implemented in Matlab Software R2021b version. In Matlab simulink, solar system components and complete controller topolgy are implemented and Ant Colony Optimization algorithm code is implented in Matlab and simulation is run for 0.5 sec and we get optimum values of gains of FOPID controller and it's cost and no. of iterations in which ACO give us optimum values. In our case Kp value of 900, ki value of 3500 and Kd value of 100 , lamda value of 1.1 and meu vlaue of 0.91 are optimum values for optimum performance of controller . By giving these values to controller, controller give to it's best performance as generate control signal to  remove transient in generated power. This control signal is then convert to PWM signal by using hystersis controller which contain relays to switch according to control signal.This PWM signal basically determine duty cycles as inverter need duty cycle to work. By changing duty cycle, current voltages values increase or decreases. ACO code use 6 iterations to get optimum values. 

Benefits of the Project

By using simple PWM generator to give PWM signal to gate terminal of inverter, we get  overshoot of 30 KW for 0.14 sec and then get overshoots of 10 KW in simulation time of 0.5 sec but by using PWM signal sinal from ACO optimized FOPID controller, we get overshoot of 6 KW for 0. 03 sec and then actine power signal become stable as achieve 5KW desired power. So this the benefit of project that how transient in generated power is minizmized in 0.03 seconds.

Technical Details of Final Deliverable

9 Solar panels of 450 watt of longi of Rs 20230 are used in project and one hybrid inverter of 5KW of Rs40000 is used and 5 KW of 3 phase motor of Rs 2960 is used and wires are used to connect load with solar  and FOPID controller of Rs 3500 to remove transient. These are the components used in project. ACO Matlab code is implemented to get optimum performance of controller. 

Final Deliverable of the Project

Hardware System

Core Industry

Energy

Other Industries

Core Technology

Others

Other Technologies

Sustainable Development Goals

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com