Optimal hybrid renewable energy generation planning based on BSG-starcraft radius particle swarm optimization

• Autorzy: Mansur, M. T. , Manjang, Salama , Arief, Ardiaty , Akil, Yusri Syam

Warianty tytułu

PL

Optymalne planowanie wytwarzania hybrydowej energii odnawialnej w oparciu o optymalizację roju cząstek promienia BSG-starcraft

• Języki publikacji: EN

Abstrakty

EN

This paper develops a new methodology to find the optimal size of hybrid renewable energy plants in a microgrid. The power plants planned in the microgrid for this study are photovoltaic (PV) and wind turbines (WT). In this paper, a new method is proposed, the BSG-Starcraft Radius Particle Swarm Optimization (PSO) algorithm, to determine two design variables: the number of PV panels and the number of wind turbines (WT) for the microgrid system in Maginti Island, Indonesia as a case study. The BSG-Starcraft Radius PSO algorithm is an improved method of the BSG-Starcraft PSO algorithm. The results obtained indicate that the proposed method gives the best results because it provides a more optimal configuration than the BSG-Starcraft PSO algorithm. The simulation results show that by using the proposed method, the BSG-Starcraft Radius PSO method, the number of PV panels is 335 andthe number ofWT is 186 turbines units with a total load power of 80 kW, and the investment value must be spent using the proposed BSG-Starcraft Radius PSO is$352,761.1. In contrast, the investment for the microgrid planning using the BSG-Starcraft Radius PSO is$355,265.1.

PL

W niniejszym artykule opracowano nową metodologię znajdowania optymalnej wielkości hybrydowych elektrowni odnawialnych w mikrosieci. Elektrownie planowane w mikrosieci do tego badania to elektrownie fotowoltaiczne (PV) i turbiny wiatrowe (WT). W artykule zaproponowano nową metodę, algorytm BSG-Starcraft Radius Particle Swarm Optimization (PSO), do określenia dwóch zmiennych projektowych: . Algorytm BSG-Starcraft Radius PSO jest udoskonaloną metodą algorytmu BSG-Starcraft PSO. Uzyskane wyniki wskazują, że proponowana metoda daje najlepsze rezultaty, ponieważ zapewnia bardziej optymalną konfigurację niż algorytm BSG-Starcraft PSO. Wyniki symulacji pokazują, że przy zastosowaniu proponowanej metody BSG-Starcraft Radius PSO liczba paneli PV wynosi 335, a liczba WT to 186 jednostek turbin o łącznej mocy obciążenia 80 kW, a wartość inwestycji musi być wydatkowana przy użyciu proponowany BSG-Starcraft Radius PSO wynosi 352 761,1 USD. Natomiast inwestycja w planowanie mikrosieci z wykorzystaniem BSG-Starcraft Radius PSO wynosi 355 265,1 USD

Słowa kluczowe

PL

optymalizacja hybrydowego źróła energii; mikrosieć; algorytm PSO

EN

optimal hybrid renewble energy generation; microgrid; BSG-Starcraft Radius PSO

• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2023
• Tom: R. 99, nr 2
• Strony: 82--87
• Opis fizyczny: Bibliogr. 31 poz., rys., tab., wykr.

Twórcy

autor

Mansur, M. T.

• Department ofElectrical Engineering, Hasanuddin University, Gowa Campus, 92171, Indonesia,Department of Electrical Engineering, Halu Oleo University, 93232 Kendari, Indonesia,

autor

Manjang, Salama

• ,Department of Electrical Engineering, Hasanuddin University, Gowa Campus, 92171, Indonesia,

autor

Arief, Ardiaty

• Department of Electrical Engineering, Hasanuddin University, Gowa Campus, 92171, Indonesia, Centre for Research and Development on Energy and Electricity, Hasanuddin University, 90245 Makassar, Indonesia,

autor

Akil, Yusri Syam

• Department of Electrical Engineering, Hasanuddin University, Gowa Campus, 92171, Indonesia,

Bibliografia

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Identyfikatory

DOI

10.15199/48.2023.02.13