Research Article | ![]()
Speed Control of a Battery-Less Isolated PV–Diesel Hybrid System Using a Modified MRAC–Fuzzy Controller
Author(s): Ekhlas M. Thajeel1*, Zainab N. Abbas2, Alia J. Mohammed3
Published In : International Journal of Electrical and Electronics Research (IJEER) Volume 14, Issue 1
Publisher : FOREX Publication
Published : 10 March 2026
e-ISSN : 2347-470X
Page(s) : 56-63
Abstract
This article presents a generic model of the PV- diesel generator system and simulation of speed control of an alternator in isolated network. A diesel generator is a machine that converts diesel fuel into electrical energy. It is typically used as a backup power source or in areas where access to the electrical grid is unavailable. In an insulated network system, a photovoltaic (PV) generator with an inverter interface is employed in parallel using a PI regulator without a battery. The distribution system has one basic purpose: to ensure, a continuous power supply to customers while ensuring that the voltage remains within acceptable limits. The main challenge in maintaining system stability during load operation lies in controlling everything variables. A sudden droplet in solar irradiance will result in an immediate reduction in the PV power output. This causes the voltage to decrease below the essential levels, finally leading to the whole failure of the low-voltage relay in the PV module. The success of any control algorithm depends on the accuracy of its "identifier" in predicting the dynamic behavior of the station. For this reason, a Model Reference Adaptive Control (MRAC) system is used for this purpose. This approach continuously adjusts the controller parameters, forcing the actual station outputs to follow the outputs of an ideal reference model. This paper proposes a modified adaptive control strategy that incorporates a fuzzy search table. This configuration is designed to ensure stable transition performance within an isolated grid. The entire system model is built and tested using MATLAB/Simulink, and results are presented.
Keywords: Energy, Energy management, Battery energy storage system, Renewable energy sources, Adaptive control.
Ekhlas M. Thajeel, College of Electrical Engineering, University of Technology, Iraq; Email: Ekhlas.M.Thajeel@uotechnology.edu.iq
Zainab N. Abbas ,College of Electrical Engineering, University of Technology, Iraq; Email: Zainab.N.Abbas@uotechnology.edu.iq
Alia J. Mohammed ,College of Medical Techniques, Alfarahidi University, Baghdad, Iraq; Email: 30035@uotechnology.edu.iq
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