Smart Energy Management System: Design of a Smart Grid Test Bench for Educational Purposes

Smart Energy Management System: Design of a Smart Grid Test Bench for Educational Purposes

The presented article aims to design an educational test bench setup for smart grids and renewable energies with multiple features and techniques used in a microgrid. The test bench is designed for students, laboratory engineers, and researchers, which enables electrical microgrid system studies and...

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Bibliographic Details
Published in:Energies (Basel) Vol. 15; no. 7; p. 2702
Main Authors: Laayati, Oussama, El Hadraoui, Hicham, Guennoui, Nasr, Bouzi, Mostafa, Chebak, Ahmed
Format: Journal Article
Language:English
Published: Basel MDPI AG 01-04-2022
Subjects:
Algorithms
Automation
Batteries
Case studies
Communication
Control algorithms
Design
Distributed generation
Economic forecasting
Education
Electrical loads
Electricity distribution
Energy efficiency
Energy industry
Energy management
Energy sources
Energy storage
Engineering
Engineers
Flywheels
Hydroelectric power
Hydrogen-based energy
Infrastructure
Internet of Things
Laboratories
Machine learning
Model-based systems
Open source software
Optimization
Photovoltaics
Power
Power management
Pumped storage
remote laboratory
renewable energies
Simulation
Simulators
smart grid
Software
Solar power
Storage batteries
Storage systems
Students
Teaching
Wind power
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Summary:The presented article aims to design an educational test bench setup for smart grids and renewable energies with multiple features and techniques used in a microgrid. The test bench is designed for students, laboratory engineers, and researchers, which enables electrical microgrid system studies and testing of new, advanced control algorithms to optimize the energy efficiency. The idea behind this work is to design hybrid energy sources, such as wind power, solar photovoltaic power, hydroelectric power, hydrogen energy, and different types of energy storage systems such as batteries, pumped storage, and flywheel, integrating different electrical loads. The user can visualize the state of the components of each emulated scenario through an open-source software that interacts and communicates using OPC Unified Architecture protocol. The researchers can test and validate new solutions to manage the energy behavior in the grid using machine learning and optimization algorithms integrated in the software in form of blocks that can be modified and improved, and then simulate the results. A model-based system of engineering is provided, which describes the different requirements and case studies of the designed test bench, respecting the open-source software and the frugal innovation features in which there is use of low-cost hardware and open-source software. The users obtain the opportunity to add new sources and new loads, change software platforms, and communicate with other simulators and equipment. The students can understand the different features of smart grids, such as defect classification, energy forecasting, energy optimization, and basics of production, transmission, and consumption.
ISSN:1996-1073
1996-1073
DOI:10.3390/en15072702