The use of Grey Wolf Optimizer (GWO) for solving the economic dispatch problems based on renewable energy in algeria a case study of “Naama Site”

• Autorzy: Maamri Mokhtar , Bouzeboudja Hamid , Tandjaoui Mohammed Nasser

Identyfikatory

DOI

10.15199/48.2019.06.07

Warianty tytułu

PL

Wykorzystanie algorytmu Gray Wolf Optimizer do optymalizacji integracji z siecią źródeł energii odnawialnej z uwzględnieniem aspektów ekonomicznych

• Języki publikacji: EN

Abstrakty

EN

The use of renewable energy sources worldwide will increase, leading to a more sustainable energy mix, reduced greenhouse gas emissions and reduced dependence on oil. Therefore, the integration of renewable energy systems into the grid is very important. Wind and solar energy are one of the renewable means of electricity production that is part of the global debate on the future of energy production and use and their effects on the environment. The main purpose of this study was to present a technique on how to optimize integrating a wind and solar energy in Algeria. A case study (Naama site). In this study, a scenario will be taken for analyzing the impact of the integration of this renewable energy (wind/solar), on the economic dispatch problems where it has been resolved with a new naturally inspired algorithm called a Gray Wolf Optimizer algorithm (GWO), the results obtained show that the grey wolf optimizer used in this paper either matches or outperforms the other methods in terms of solution of economic dispatch problems.

PL

W artykule optymlizację zintegrowania żródeł energii wiatroej i słonecznej z uwzględnieniem aspektów ekonomicznych na przykładzie Algerii. Do optymalizacji wykorzystano algorytm nazwany Gray Wolf Optimizer algorithm (GWO).

Słowa kluczowe

EN

economic dispatch; grey wolf optimizer; hybrid power system; solar energy; wind energy

PL

odnawialne źródła energii; algorytm grey wolf optimizer; energia wiatrowa; energia słoneczna

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2019
• Tom: R. 95, nr 6
• Strony: 32--39
• Opis fizyczny: Bibliogr. 43 poz., rys., tab., wykr.

Twórcy

autor

Maamri Mokhtar

• Department of Electrical Engineering, Laboratory of Sustainable Development of Electric Energy (L.S.D.E.E), University of Science and Technology Mohamed Boudiaf, Oran, Algeria

autor

Bouzeboudja Hamid

• Department of Electrical Engineering, Laboratory of Sustainable Development of Electric Energy (L.S.D.E.E), University of Science and Technology Mohamed Boudiaf, Oran, Algeria

autor

Tandjaoui Mohammed Nasser

• Department of Science and Technology "Electrical Engineering", Faculty of Technology, Laboratory of Smart Grids & Renewable Energies (S.G.R.E), University of Tahri Mohammed, Bechar, Algeria

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).