The practical power flow analysis program based on matlab GUI developed for educational purposes for students in smart grids: Oyamatlab
With the rapid development of today's technology, it has become possible to improve the electricity grid by using computer and network technologies in electricity networks. Thus, electricity grids will be able to provide sustainable, safe, and uninterrupted energy to consumers by allowing a two...
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| Published in | International journal of electrical engineering & education Vol. 61; no. 4; pp. 405 - 421 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
London, England
SAGE Publications
01.10.2024
Sage Publications Ltd |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0020-7209 2050-4578 |
| DOI | 10.1177/00207209211013471 |
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| Abstract | With the rapid development of today's technology, it has become possible to improve the electricity grid by using computer and network technologies in electricity networks. Thus, electricity grids will be able to provide sustainable, safe, and uninterrupted energy to consumers by allowing a two-way flow of information and electricity. Networks that can do this are called smart grids. Although conventional power lines have unidirectional power flow, a smart grid; enables the bidirectional flow of information and electricity by placing various hardware and software on the network. The main purpose of this study that tackles the smart grid is to introduce an educational program that can perform optimum load flow analysis based on Matlab GUI that can be used by undergraduate, graduate, and PhD students. Especially, students will be able to use the program easily in subjects related to loading flow analysis in electrical networks. Students using the program will have the opportunity to see different algorithm results in IEEE busbar systems and compare them with each other. The developed program realizes the optimum load distribution in bus systems accepted by IEEE in the smart grid using various metaheuristic algorithms and uses objective functions such as power losses, fuel cost, and voltage adjustment while performing optimum load distribution analysis. As a result of the program called Oyamatlab, optimum values in the selected busbar system are obtained. This is the program with a simple user interface for students to use without difficulty; it can perform optimum load distribution analysis by selecting different purpose functions. |
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| AbstractList | With the rapid development of today's technology, it has become possible to improve the electricity grid by using computer and network technologies in electricity networks. Thus, electricity grids will be able to provide sustainable, safe, and uninterrupted energy to consumers by allowing a two-way flow of information and electricity. Networks that can do this are called smart grids. Although conventional power lines have unidirectional power flow, a smart grid; enables the bidirectional flow of information and electricity by placing various hardware and software on the network. The main purpose of this study that tackles the smart grid is to introduce an educational program that can perform optimum load flow analysis based on Matlab GUI that can be used by undergraduate, graduate, and PhD students. Especially, students will be able to use the program easily in subjects related to loading flow analysis in electrical networks. Students using the program will have the opportunity to see different algorithm results in IEEE busbar systems and compare them with each other. The developed program realizes the optimum load distribution in bus systems accepted by IEEE in the smart grid using various metaheuristic algorithms and uses objective functions such as power losses, fuel cost, and voltage adjustment while performing optimum load distribution analysis. As a result of the program called Oyamatlab, optimum values in the selected busbar system are obtained. This is the program with a simple user interface for students to use without difficulty; it can perform optimum load distribution analysis by selecting different purpose functions. |
| Author | Çınar, Mehmet Kaygusuz, Asım |
| Author_xml | – sequence: 1 givenname: Mehmet orcidid: 0000-0002-1542-9120 surname: Çınar fullname: Çınar, Mehmet organization: Electrical-Electronics Engineering, Inonu University, Malatya, Turkey – sequence: 2 givenname: Asım orcidid: 0000-0003-2905-1816 surname: Kaygusuz fullname: Kaygusuz, Asım organization: Electrical-Electronics Engineering, Inonu University, Malatya, Turkey |
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| Keywords | Matlab GUI Smart grids optimization algorithms optimum load flow |
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| References | Adaryani, Karami 2013; 53 Mohamed, Mohamed, El-Gaafary 2017; 142 Kim, Mun, Kim 2011; 33 Carpentier 1962; 3 Abido 2010; 8 Ghasemi, Ghavidel, Ghanbarian 2014; 78 Somasundaram, Kuppusamy, Kumudini Devi 2004; 72 Colorado, Valenzuela, Avelar 2010; 54 Nguyen 2019; 171 Wei-Jie, Ming, Zhi-Wei 2019; 105 bibr6-00207209211013471 bibr10-00207209211013471 bibr8-00207209211013471 bibr3-00207209211013471 bibr4-00207209211013471 bibr7-00207209211013471 bibr11-00207209211013471 bibr5-00207209211013471 Colorado RM (bibr9-00207209211013471) 2010; 54 Carpentier J. (bibr1-00207209211013471) 1962; 3 bibr12-00207209211013471 bibr2-00207209211013471 |
| References_xml | – volume: 78 start-page: 276 year: 2014 end-page: 289 article-title: Multi-objective optimal power flow considering the cost, emission, voltage deviation and power losses using multi-objective modified imperialist competitive algorithm publication-title: J Energy – volume: 54 start-page: 319 year: 2010 end-page: 340 article-title: A matlab-based identification procedure applied to a two-degrees-of-freedom robot manipulator for engineering students publication-title: Int J Electric Eng Educ – volume: 72 start-page: 137 year: 2004 end-page: 145 article-title: Evolutionary programing based security constrained optimal power flow publication-title: J Electric Power Syst Res – volume: 3 year: 1962 article-title: Contribution à l'étude du dispatching economique publication-title: Bulletin de la Société Française des Electriciens – volume: 33 start-page: 1457 year: 2011 end-page: 1461 article-title: Optimal power system operation using parallel processing system and PSO algorithm publication-title: Int J Electr Power Energy Syst – volume: 142 start-page: 190 year: 2017 end-page: 206 article-title: Optimal power flow using moth swarm algorithm publication-title: J Electric Power Syst Res – volume: 8 start-page: 241 year: 2010 end-page: 268 article-title: Multi objective particle swarm optimization for optimal power flow problem publication-title: Handbook of Swarm Intell – volume: 171 start-page: 218 year: 2019 end-page: 240 article-title: A high performance social spider optimization algorithm for optimal power flow solution with single objective optimization publication-title: J Energy – volume: 105 start-page: 420 year: 2019 end-page: 428 article-title: Distributed optimal active power dispatch with energy storage units and power flow limits in smart grids publication-title: J Electric Power Energy Syst – volume: 53 start-page: 219 year: 2013 end-page: 230 article-title: Artificial bee colony algorithm for solving multi-objective optimal power flow problem publication-title: Int J Electric Power Energy Syst – ident: bibr7-00207209211013471 doi: 10.1007/978-3-642-17390-5_11 – ident: bibr3-00207209211013471 doi: 10.1109/PESMG.2013.6672864 – ident: bibr6-00207209211013471 doi: 10.1016/j.epsr.2004.02.006 – ident: bibr12-00207209211013471 doi: 10.1016/j.epsr.2016.09.025 – ident: bibr4-00207209211013471 doi: 10.1016/j.energy.2019.01.021 – volume: 54 start-page: 319 year: 2010 ident: bibr9-00207209211013471 publication-title: Int J Electric Eng Educ – ident: bibr8-00207209211013471 doi: 10.1016/j.ijepes.2018.07.060 – volume: 3 year: 1962 ident: bibr1-00207209211013471 publication-title: Bulletin de la Société Française des Electriciens – ident: bibr2-00207209211013471 doi: 10.1109/IPECON.2010.5696995 – ident: bibr5-00207209211013471 doi: 10.1016/j.ijepes.2013.04.021 – ident: bibr10-00207209211013471 doi: 10.1016/j.ijepes.2011.06.026 – ident: bibr11-00207209211013471 doi: 10.1016/j.energy.2014.10.007 |
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| SubjectTerms | Algorithms Busbars Cost analysis Education Educational Objectives Educational Technology Electric power distribution Electric power grids Electric power loss Electrical loads Electrical networks Electricity Electricity distribution Heuristic methods Information flow Matlab Networks Power flow Power lines Smart grid Smart grid technology Students Systems analysis |
| Title | The practical power flow analysis program based on matlab GUI developed for educational purposes for students in smart grids: Oyamatlab |
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