Optimal and economic design of stand-alone hybrid renewable energy system integrated with battery storage using artificial electric field algorithm

• Autorzy: Kazeminejad, Mohammad , Karamifard, Mozhdeh

Warianty tytułu

PL

Optymalny i ekonomiczny projekt samodzielnego hybrydowego systemu energii odnawialnej zintegrowanego z magazynowaniem baterii przy użyciu algorytmu sztucznego pola elektrycznego

• Języki publikacji: EN

Abstrakty

EN

In this paper, the optimal and economic design of a stand-alone hybrid photovoltaic-wind-battery storage (PV/WT/BA) system is performed using an artificial electric field algorithm (AEFA) to minimize the cost of energy generation (CEG) to supply an annual load during the 20 years of the useful life project. The AEFA algorithm is inspired by coulomb electrostatic force and has a high exploration power for optimal global achievement. In this study, the design problem is satisfied considering the probability of the energy not supplied (ENS) as a reliability constraint. The purpose of the design is to determine the number of photovoltaic panels, wind turbines, and batteries, taking into account the CEG and satisfaction of the ENS to provide annual load using the AEFA method. To verify the proposed AEFA, the results are compared with particle swarm optimization (PSO) and sine cosine algorithm (SCA) in view of CEG and ENS. The results show that the AEFA is superior to the PSO and SCA methods in finding the optimal solution with lower CEG and ENS (higher reliability).

PL

W artykule przedstawiono optymalny i ekonomiczny projekt autonomicznego hybrydowego systemu magazynowania energii fotowoltaicznej z wiatrem (PV/WT/BA) z wykorzystaniem algorytmu sztucznego pola elektrycznego (AEFA) w celu zminimalizowania kosztów wytwarzania energii (CEG). dostarczać roczny ładunek w ciągu 20 lat projektu okresu użytkowania. Algorytm AEFA jest inspirowany siłą elektrostatyczną kulomba i ma wysoką moc eksploracyjną dla optymalnych globalnych osiągnięć. W niniejszym opracowaniu problem projektowy został rozwiązany, biorąc pod uwagę prawdopodobieństwo niedostarczenia energii (ENS) jako ograniczenie niezawodności. Celem projektu jest określenie ilości paneli fotowoltaicznych, turbin wiatrowych oraz baterii z uwzględnieniem CEG i satysfakcji ENS z zapewnienia rocznego obciążenia metodą AEFA. Aby zweryfikować proponowaną AEFA, wyniki porównuje się z optymalizacją roju cząstek (PSO) i algorytmem sinus cosinus (SCA) pod kątem CEG i ENS. Wyniki pokazują, że metoda AEFA przewyższa metody PSO i SCA w znalezieniu optymalnego rozwiązania o niższym CEG i ENS (wyższa niezawodność).

Słowa kluczowe

PL

hybrydowy system PV/WT/BA; koszt wytwarzania energii; niezawodność; algorytm sztucznego pola elektrycznego

EN

hybrid PV/WT/BA system; cost of energy generation; reliability; artificial electric field algorithm

• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2022
• Tom: R. 98, nr 11
• Strony: 313--319
• Opis fizyczny: Bibliogr. 22 poz., rys., tab.

Twórcy

autor

Kazeminejad, Mohammad

• Department of Electrical Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran,

autor

Karamifard, Mozhdeh

• Department of Physics, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran,

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).

Identyfikatory

DOI

10.15199/48.2022.11.63