Allocation of photovoltaic and wind turbine based DG units using the energy valley optimizer (EVO) algorithm

• Autorzy: Fettah Khaled , Guia Talal , Salhi Ahmed , Kacemi Walid Mohammed , Saidi Fayssal

Identyfikatory

DOI

10.15199/48.2024.07.45

Warianty tytułu

PL

Alokacja jednostek DG wykorzystujących fotowoltaikę i turbiny wiatrowe przy użyciu algorytmu energy valley optimizer (EVO)

• Języki publikacji: EN

Abstrakty

EN

In this paper, we introduce a novel meta-heuristic technique called the Energy Valley Optimizer (EVO) algorithm designed for the optimization of distributed generation (DG) allocation within distribution networks (DN). The proposed algorithm focuses on the efficient placement of DG units based on photovoltaic (PV) and wind turbine (WT) technologies. Drawing inspiration from advanced physics principles, particularly those related to stability and various modes of particle decay, the EVO algorithm seeks to minimize both total power and energy losses in the DN. To assess its efficacy, the presented technique is applied to problem instances aimed at minimizing power and energy losses, respectively. The evaluation of the proposed approach is conducted using the IEEE 33-bus test system as a case study. The effectiveness of the EVO method is substantiated through a comparative analysis, wherein simulation results are juxtaposed with those obtained from other optimization algorithms recently developed in the literature.

PL

W artykule przedstawiamy nowatorską technikę metaheurystyczną zwaną algorytmem Energy Valley Optimizer (EVO) zaprojektowaną w celu optymalizacji alokacji generacji rozproszonej (DG) w sieciach dystrybucyjnych (DN). Zaproponowany algorytm skupia się na efektywnym rozmieszczeniu jednostek DG w oparciu o technologie fotowoltaiczne (PV) i turbiny wiatrowe (WT). Czerpiąc inspirację z zaawansowanych zasad fizyki, szczególnie tych związanych ze stabilnością i różnymi trybami rozpadu cząstek, algorytm EVO stara się minimalizować zarówno całkowite straty mocy, jak i energii w DN. Aby ocenić skuteczność, przedstawioną technikę stosuje się do przypadków problemowych mających na celu minimalizację odpowiednio strat mocy i energii. Ocena proponowanego podejścia została przeprowadzona przy użyciu systemu testowego IEEE 33-bus jako studium przypadku. Skuteczność metody EVO potwierdzono analizą porównawczą, podczas której wyniki symulacji zestawiono z wynikami uzyskanymi z innych algorytmów optymalizacyjnych opracowanych ostatnio w literaturze.

Słowa kluczowe

EN

distribution system; energy valley optimizer algorithm; uncertainties; photovoltaic; wind turbine; power loss

PL

system dystrybucyjny; algorytm optymalizatora doliny energetycznej; niepewności; fotowoltaika; turbina wiatrowa; strata mocy

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2024
• Tom: R. 100, nr 7
• Strony: 228--234
• Opis fizyczny: Bibliogr. 29 poz., rys., tab.

Twórcy

autor

Fettah Khaled

• Laboratoire des Nouvelles technologies et le developpement local (LNTDL), University el oued El oued –Algeria

• https://orcid.org/0000-0001-6985-8652

autor

Guia Talal

• Laboratoire des Nouvelles technologies et le developpement local (LNTDL), University el oued El oued –Algeria

• https://orcid.org/0000-0002-2087-1343

autor

Salhi Ahmed

• Laboratoire de Génie Electrique de Biskra (LGEB), University of Biskra Biskra-Algeria

• https://orcid.org/0009-0005-4888-8365

autor

Kacemi Walid Mohammed

• Laboratoire de génie électrique et énergies renouvelables (LGEER), Hassiba Benbouali University of Chlef, B.P 78C, Ouled Fares, Chlef, 02180, Algeria

• https://orcid.org/0000-0002-3528-3026

autor

Saidi Fayssal

• Laboratoire de génie électrique et énergies renouvelables (LGEER), Hassiba Benbouali University of Chlef, B.P 78C, Ouled Fares, Chlef, 02180, Algeria

• https://orcid.org/0000-0002-9206-0451

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).