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Generalized Model of Economic Dispatch Optimization as an Educational Tool for Management of Energy SystemsPAPAZIS, S. A. , BAKOS, G. C. |
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Author keywords
engineering education, energy management, economics, power generation dispatch, algorithms
References keywords
power(31), economic(31), dispatch(30), systems(22), optimization(13), tpwrs(10), swarm(10), energy(9), education(7), dynamic(7)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2021-05-31
Volume 21, Issue 2, Year 2021, On page(s): 75 - 86
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2021.02009
Web of Science Accession Number: 000657126200009
SCOPUS ID: 85107673351
Abstract
The available literature about Economic Dispatch ED problems is rich. In most of the cases the readers need specialized multidisciplinary knowledge of control systems, advanced optimization techniques, computers software and energy systems. Integration of ED problems in syllabus of economic management of energy systems requires knowledge of control engineering, and economics. There is a gap of knowledge between classical control theory most of graduates possess, and necessary advanced optimal control techniques for working in the field of ED problems. This article presents an educational generalized method EGM_ED for modeling, and solving the optimization of ED problems of thermal energy systems, using matrix mathematics, and matlab software. The solution is deducted mathematically, computed with matrices, and do not uses solvers from toolboxes. Can be applied in many different situations of energy systems with big numbers of generators. EGM_ED method is easier accessed by students, early carrier engineers, and practitioners. Using our matrix-based modelling for solving ED problems will offer access to students, and to other interested people to better learn, specialize and take critical managerial decisions in related energy industry jobs. |
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[1] State Transitions Logical Design for Hybrid Energy Generation with Renewable Energy Sources in LNG Ship, Stamatakis, Michael E., Ioannides, Maria G., Energies, ISSN 1996-1073, Issue 22, Volume 14, 2021.
Digital Object Identifier: 10.3390/en14227803 [CrossRef]
[2] Design and Operation of Internet of Things-Based Monitoring Control System for Induction Machines, Ioannides, Maria, Koukoutsis, Elias, Stamelos, Anastasios, Papazis, Stylianos, Stamataki, Erofili, Papoutsidakis, Athanasios, Vikentios, Vasilios, Apostolakis, Nikolaos, Stamatakis, Michael, Energies, ISSN 1996-1073, Issue 7, Volume 16, 2023.
Digital Object Identifier: 10.3390/en16073049 [CrossRef]
[3] Internet of Things-Based Control of Induction Machines: Specifics of Electric Drives and Wind Energy Conversion Systems, Ioannides, Maria G., Stamelos, Anastasios P., Papazis, Stylianos A., Stamataki, Erofili E., Stamatakis, Michael E., Energies, ISSN 1996-1073, Issue 3, Volume 17, 2024.
Digital Object Identifier: 10.3390/en17030645 [CrossRef]
[4] Energy Management in a Super-Tanker Powered by Solar, Wind, Hydrogen and Boil-Off Gas for Saving CO2 Emissions, Stamatakis, Michael E., Stamataki, Erofili E., Stamelos, Anastasios P., Ioannides, Maria G., Electronics, ISSN 2079-9292, Issue 8, Volume 13, 2024.
Digital Object Identifier: 10.3390/electronics13081567 [CrossRef]
[5] Integrated Economic Optimization of Hybrid Thermosolar Concentrating System Based on Exact Mathematical Method, Papazis, Stylianos, Energies, ISSN 1996-1073, Issue 19, Volume 15, 2022.
Digital Object Identifier: 10.3390/en15197019 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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