Application of a new hybridization to solve economic dispatch problem on an algerian power system without or with connection to a renewable energy
The most important contribution of this article is the use of four metaheuristic approaches to tackle the problem of economic dispatching, with the goal to study the influence of the injection of a renewable energy source on the electricity cost in the Algerian network, and minimizing the production...
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| Format: | Article |
| Language: | English |
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Polskie Towarzystwo Diagnostyki Technicznej
2021-09-01
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| Series: | Diagnostyka |
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| Online Access: | http://www.diagnostyka.net.pl/Application-of-a-new-hybridization-to-solve-economic-dispatch-problem-on-an-algerian,142060,0,2.html |
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| author | Abdelkader Si Tayeb Benyekhlef Larouci Daoud Rezzak Yahia Houam Hamid Bouzeboudja Abdelhak Bouchakour |
| author_facet | Abdelkader Si Tayeb Benyekhlef Larouci Daoud Rezzak Yahia Houam Hamid Bouzeboudja Abdelhak Bouchakour |
| author_sort | Abdelkader Si Tayeb |
| collection | DOAJ |
| description | The most important contribution of this article is the use of four metaheuristic approaches to tackle the problem of economic dispatching, with the goal to study the influence of the injection of a renewable energy source on the electricity cost in the Algerian network, and minimizing the production cost of electrical energy while accounting for transmission losses.
A Genetic Algorithm (GA) (a real coding) and Egyptian Vulture Optimization Algorithm (EVOA), as well as two hybridizations between the metaheuristics: Classic and Modern hybridization (C.H.GA-EVOA, M.H.GA-EVOA), are presented in this work. These techniques are used to address optimization difficulties of two Algerian electricity networks. The first has three system units, whereas the second has fifteen system units. The second electricity network is connected to a solar energy source.
The findings obtained are compared with other techniques to validate the high performance of the suggested methods for addressing the economic dispatch issue. This study demonstrates that EVOA and C.H.GA-EVOA provide trustworthy results, and that M.H.GA-EVOA surpasses them. |
| first_indexed | 2024-12-12T21:43:05Z |
| format | Article |
| id | doaj.art-28fb4a86a9d4473c8969b733ac8affff |
| institution | Directory Open Access Journal |
| issn | 2449-5220 |
| language | English |
| last_indexed | 2024-12-12T21:43:05Z |
| publishDate | 2021-09-01 |
| publisher | Polskie Towarzystwo Diagnostyki Technicznej |
| record_format | Article |
| series | Diagnostyka |
| spelling | doaj.art-28fb4a86a9d4473c8969b733ac8affff2022-12-22T00:11:00ZengPolskie Towarzystwo Diagnostyki TechnicznejDiagnostyka2449-52202021-09-0122310111210.29354/diag/142060142060Application of a new hybridization to solve economic dispatch problem on an algerian power system without or with connection to a renewable energyAbdelkader Si Tayeb0Benyekhlef Larouci1Daoud Rezzak2Yahia Houam3Hamid Bouzeboudja4Abdelhak Bouchakour5Faculty of electrical engineering. USTO, B.P 1505 El M’naouar, Oran, 31000, AlgeriaDepartment of Electrical Engineering, University Kasdi Merbah, 30000 Ouargla, AlgeriaUnité de Recherche Appliquée en Energies Renouvelables, URAER, Centre de Développement des Energies Renouvelables, CDER, 47133, Ghardaïa, Alegria.Unité de Recherche Appliquée en Energies Renouvelables, URAER, Centre de Développement des Energies Renouvelables, CDER, 47133, Ghardaïa, Alegria.Faculty of electrical engineering. USTO, B.P 1505 El M’naouar, Oran, 31000, AlgeriaUnité de Recherche Appliquée en Energies Renouvelables, URAER, Centre de Développement des Energies Renouvelables, CDER, 47133, Ghardaïa, Alegria.The most important contribution of this article is the use of four metaheuristic approaches to tackle the problem of economic dispatching, with the goal to study the influence of the injection of a renewable energy source on the electricity cost in the Algerian network, and minimizing the production cost of electrical energy while accounting for transmission losses. A Genetic Algorithm (GA) (a real coding) and Egyptian Vulture Optimization Algorithm (EVOA), as well as two hybridizations between the metaheuristics: Classic and Modern hybridization (C.H.GA-EVOA, M.H.GA-EVOA), are presented in this work. These techniques are used to address optimization difficulties of two Algerian electricity networks. The first has three system units, whereas the second has fifteen system units. The second electricity network is connected to a solar energy source. The findings obtained are compared with other techniques to validate the high performance of the suggested methods for addressing the economic dispatch issue. This study demonstrates that EVOA and C.H.GA-EVOA provide trustworthy results, and that M.H.GA-EVOA surpasses them.http://www.diagnostyka.net.pl/Application-of-a-new-hybridization-to-solve-economic-dispatch-problem-on-an-algerian,142060,0,2.htmlsolar energyegyptian vulturegenetic algorithmeconomic dispatchingmodern hybridization |
| spellingShingle | Abdelkader Si Tayeb Benyekhlef Larouci Daoud Rezzak Yahia Houam Hamid Bouzeboudja Abdelhak Bouchakour Application of a new hybridization to solve economic dispatch problem on an algerian power system without or with connection to a renewable energy Diagnostyka solar energy egyptian vulture genetic algorithm economic dispatching modern hybridization |
| title | Application of a new hybridization to solve economic dispatch problem on an algerian power system without or with connection to a renewable energy |
| title_full | Application of a new hybridization to solve economic dispatch problem on an algerian power system without or with connection to a renewable energy |
| title_fullStr | Application of a new hybridization to solve economic dispatch problem on an algerian power system without or with connection to a renewable energy |
| title_full_unstemmed | Application of a new hybridization to solve economic dispatch problem on an algerian power system without or with connection to a renewable energy |
| title_short | Application of a new hybridization to solve economic dispatch problem on an algerian power system without or with connection to a renewable energy |
| title_sort | application of a new hybridization to solve economic dispatch problem on an algerian power system without or with connection to a renewable energy |
| topic | solar energy egyptian vulture genetic algorithm economic dispatching modern hybridization |
| url | http://www.diagnostyka.net.pl/Application-of-a-new-hybridization-to-solve-economic-dispatch-problem-on-an-algerian,142060,0,2.html |
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