Citation: Muhsen, H.; Alkhraibat, A.;
Al-Halhouli, A. Real-Time Simulation
and Energy Management Attainment
of Microgrids. Sustainability 2023, 15,
2696. https://doi.org/10.3390/
su15032696
Academic Editor: George
Kyriakarakos
Received: 29 December 2022
Revised: 26 January 2023
Accepted: 31 January 2023
Published: 2 February 2023
Copyright: © 2023 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/).
sustainability
Article
Real-Time Simulation and Energy Management Attainment
of Microgrids
Hani Muhsen
1,2,
* , Asma Alkhraibat
2
and Ala’aldeen Al-Halhouli
1,2
1
Department of Mechatronics Engineering, School of Applied Technical Sciences,
German Jordanian University, Madaba 11180, Jordan
2
Smart Grid Lab, German Jordanian University, Madaba 11180, Jordan
* Correspondence: hani.mohsen@gju.edu.jo
Abstract: The rapid spread of Microgrid systems has led to the need for an intensive analysis of the
system to avoid several challenges such as stability, reliability, power balance, and other aspects.
In this context, real-time simulation plays a vital role in the overall system study before the actual
implementation stage. This helps avoid many on-site problems of the Microgrid by simulating
the system and studying different operation scenarios. This paper uses the OPAL-RT simulator to
perform a real-time simulation of an MG case study. Furthermore, it examines the implementation of
the Fault Ride Through technique to overcome the total disconnection of the PV system following
unpredictable faults. Moreover, a Load curtailment solution method is proposed in this study, to meet
the balance and stable operation of the MG. The results prove the effectiveness of both techniques,
with FRT implementation reducing the losses by about 62%, and the Load curtailment algorithm
maintaining the balance of the MG.
Keywords: real-time simulation; microgrid; OPAL-RT; fault ride through; load curtailment
1. Introduction
Microgrid (MG) systems’ proliferation has significantly increased in recent years. The
penetration of renewable energy resources, the limitation of carbon dioxide emissions, and
the broad deployment of smart power systems have contributed to the wide spread of MG
applications.
An MG is a smart small-scale power system comprising a mix of generating resources,
controllable loads, energy storage units, transmission lines, transformers, and a point of
common coupling (PCC) [1]. The PCC is the main circuit breaker installed in the MG
system to control the operation mode of the network. The MG system’s operation modes
can be grid-connected or grid-islanded [2]. Various research projects have been directed
toward the MG topic as a promising field in the electrical energy world [3,4].
The main and critical feature of the MG system is the ability to work in two operation
modes: connected or islanded. The potential complexity of such a network is caused by the
transition between operation modes while maintaining a stable operation [5].
MG systems have several benefits to different sides of the community, including
environmental aspects [6], economic aspects [7], and trading aspects [8]. In addition,
the control part of the MG includes energy management [9], stability and resiliency [2],
decentralized monitoring [10], real-time monitoring [11], and system protection [12].
The control side of power systems has countless articles highlighting diverse fields and
techniques that help to maintain a stable operation. Advanced transactive control strategies
have been developed to optimally utilize the installed distributed energy resources and
storage units in the energy community [13]. The proposed techniques have been built based
on the game theoretical control scheme. In addition, two other innovative control techniques
have been established, the whale optimization algorithm (WOA) and the artificial neural
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