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

Oussama Laayati, Hicham El Hadraoui, Nasr Guennoui, Mostafa Bouzi and Ahmed Chebak
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Oussama Laayati: Computer Science, Mechanical, Electronics and Telecommunication Laboratory (LMIET), Faculty of Sciences and Techniques (FST), Hassan First University of Settat (UH1), 577, Route de Casablanca, Settat 26000, Morocco
Hicham El Hadraoui: Green Tech Institute (GTI), Mohammed VI Polytechnic University (UM6P), Lot 660, Hay Moulay Rachid, Ben Guerir 43150, Morocco
Nasr Guennoui: Green Tech Institute (GTI), Mohammed VI Polytechnic University (UM6P), Lot 660, Hay Moulay Rachid, Ben Guerir 43150, Morocco
Mostafa Bouzi: Computer Science, Mechanical, Electronics and Telecommunication Laboratory (LMIET), Faculty of Sciences and Techniques (FST), Hassan First University of Settat (UH1), 577, Route de Casablanca, Settat 26000, Morocco
Ahmed Chebak: Green Tech Institute (GTI), Mohammed VI Polytechnic University (UM6P), Lot 660, Hay Moulay Rachid, Ben Guerir 43150, Morocco

Energies, 2022, vol. 15, issue 7, 1-31

Abstract: 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.

Keywords: smart grid; renewable energies; energy management; education; remote laboratory; optimization; SCADA; PLC (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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