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Reinforcement learning based PID controller design for LFC in a microgrid

Mehran Esmaeili (Technical Engineering Department, University of Mohaghegh Ardabili, Ardabil, Iran)
Hossein Shayeghi (Technical Engineering Department, University of Mohaghegh Ardabili, Ardabil, Iran)
Hamid Mohammad Nejad (Technical Engineering Department, University of Mohaghegh Ardabili, Ardabil, Iran)
Abdollah Younesi (Technical Engineering Department, University of Mohaghegh Ardabili, Ardabil, Iran)

Abstract

Purpose

This paper aims to propose an improved reinforcement learning-based fuzzy-PID controller for load frequency control (LFC) of an island microgrid.

Design/methodology/approach

To evaluate the performance of the proposed controller, three different types of controllers including optimal proportional-integral-derivative (PID) controller, optimal fuzzy PID controller and the proposed reinforcement learning-based fuzzy-PID controller are compared. Optimal PID controller and classic fuzzy-PID controller parameters are tuned using Non-dominated Sorting Genetic Algorithm-II algorithm to minimize overshoot, settling time and integral square error over a wide range of load variations. The simulations are carried out using MATLAB/SIMULINK package.

Findings

Simulation results indicated the superiority of the proposed reinforcement learning-based controller over fuzzy-PID and optimal-PID controllers in the same operational conditions.

Originality/value

In this paper, an improved reinforcement learning-based fuzzy-PID controller is proposed for LFC of an island microgrid. The main advantage of the reinforcement learning-based controllers is their hardiness behavior along with uncertainties and parameters variations. Also, they do not need any knowledge about the system under control; thus, they can control any large system with high nonlinearities.

Keywords

Citation

Esmaeili, M., Shayeghi, H., Mohammad Nejad, H. and Younesi, A. (2017), "Reinforcement learning based PID controller design for LFC in a microgrid", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 36 No. 4, pp. 1287-1297. https://doi.org/10.1108/COMPEL-09-2016-0408

Publisher

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Emerald Publishing Limited

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