Evolutionary algorithms based tuning pi controller for optimal microgrid operation

Abstract EN

A decentralized control scheme for both on-grid and off-grid connected cascaded modular decentralized Energy Generation (DEG) and two-level converter, which depends on the Proportional-Integral (PI) controller.

The PID controller family is a particular control structure that became the most universally used in industrial control.

They have proven to be robust in control of many important industrial applications due to their good performance and ease of implementation.

The controller performance mostly depends on tuning, which required selecting appropriate values for the controller gain to reach a trade-off between performance and reliability.

This paper demonstrates a case study, in which we use an optimization algorithm based on Harmony Search (HS) to select automatically the controller parameters, which minimizes our predefined objective function.

Differs from the objective functions are used commonly to evaluate the performance of the controller.

The result obtained will be compared with the ones obtained by using the genetic algorithm (GA) and the particle swarm optimization (PSO).

Simulations are conducted using MATLAB/Simulink software.

The system is tested under different operating conditions as per the following conditions: 1) the steady-state operation at on-grid connected mode.2) System Transfer from on-grid connected to off-grid, and3) System expose three lines to earth fault in an off-grid mode.

The objective is to verify the effectiveness of the proposed algorithm and the results show that the performance of the proposed approach provides a better dynamic response and surpasses the other control techniques.