Application of a new hybridization to solve economic dispatch problem on an Algerian power system without or with connection to a renewable energy

Si Tayeb, Abdelkader; Larouci, Benyekhlef; Rezzak, Daoud; Houam, Yehya; Bouzeboudja, Hamid; Bouchakour, Abdelhak

doi:10.29354/diag/142060

Artykuł - szczegóły

Tytuł artykułu

Application of a new hybridization to solve economic dispatch problem on an Algerian power system without or with connection to a renewable energy

Autorzy

Si Tayeb Abdelkader , Larouci Benyekhlef , Rezzak Daoud , Houam Yehya , Bouzeboudja Hamid , Bouchakour Abdelhak

Treść / Zawartość

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DOI

10.29354/diag/142060

Warianty tytułu

Języki publikacji

Abstrakty

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.

Słowa kluczowe

economic dispatching genetic algorithm egyptian vulture classic hybridization modern hybridization solar energy

algorytm genetyczny hybrydyzacja klasyczna hybrydyzacja nowoczesna energia słoneczna rozsył energii ekonomiczny algorytm egipski sęp

Wydawca

Polskie Towarzystwo Diagnostyki Technicznej

Czasopismo

Diagnostyka

Rocznik

2021

Tom

Vol. 22, No. 3

Strony

101--112

Opis fizyczny

Bibliogr. 44 poz., rys., tab.

Twórcy

autor

Si Tayeb Abdelkader

si_tayeb12@yahoo.fr

Unité de Recherche Appliquée en Energies Renouvelables, URAER, Centre de Développement des Energies Renouvelables, CDER, 47133, Ghardaïa, Alegria
Faculty of electrical engineering, USTO-MB. B.P 1505 El M’naouar, Oran, 31000, Algeria, Laboratory of Sustainable Development of Electrical Energy LDDEE

autor

Larouci Benyekhlef

Department of Electrical Engineering, Faculty of Applied Sciences, University Kasdi Merbah Ouargla, Street Ghardaia, 30000, Ouargla, Algeria

autor

Rezzak Daoud

Unité de Recherche Appliquée en Energies Renouvelables, URAER, Centre de Développement des Energies Renouvelables, CDER, 47133, Ghardaïa, Alegria

autor

Houam Yehya

Unité de Recherche Appliquée en Energies Renouvelables, URAER, Centre de Développement des Energies Renouvelables, CDER, 47133, Ghardaïa, Alegria

autor

Bouzeboudja Hamid

Faculty of electrical engineering, USTO-MB. B.P 1505 El M’naouar, Oran, 31000, Algeria, Laboratory of Sustainable Development of Electrical Energy LDDEE

autor

Bouchakour Abdelhak

Unité de Recherche Appliquée en Energies Renouvelables, URAER, Centre de Développement des Energies Renouvelables, CDER, 47133, Ghardaïa, Alegria

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).

Typ dokumentu

Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-a2c782d2-1da5-480e-9fa7-2f05795522d5