Warianty tytułu
Optymalne planowanie wytwarzania hybrydowej energii odnawialnej w oparciu o optymalizację roju cząstek promienia BSG-starcraft
Języki publikacji
Abstrakty
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.
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
Czasopismo
Rocznik
Tom
Strony
82--87
Opis fizyczny
Bibliogr. 31 poz., rys., tab., wykr.
Twórcy
autor
- Department ofElectrical Engineering, Hasanuddin University, Gowa Campus, 92171, Indonesia,Department of Electrical Engineering, Halu Oleo University, 93232 Kendari, Indonesia, mansur_naufal@yahoo.com
autor
- ,Department of Electrical Engineering, Hasanuddin University, Gowa Campus, 92171, Indonesia, salamamanjang@unhas.ac.id
autor
- Department of Electrical Engineering, Hasanuddin University, Gowa Campus, 92171, Indonesia, Centre for Research and Development on Energy and Electricity, Hasanuddin University, 90245 Makassar, Indonesia, ardiaty@eng.unhas.ac.id
autor
- Department of Electrical Engineering, Hasanuddin University, Gowa Campus, 92171, Indonesia, yusakil@unhas.ac.id
Bibliografia
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- [8] Samy M.S., BarakatH.S.,Ramadan., A Flower Pollination Optimization Algorithm for an Off-Grid PV-Fuel Cell Hybrid Renewable System,International Journal of Hydrogen Energy, 4I (2019),pp. 2141-2152
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- [21] Gauri M.K., Kalyani., GeetanjaliA.V., Implementation of Analytical Method and Improved Particle Swarm Optimization for Optimal Sizing of Standalone PV/Wind and Battery Energy Storage Hybrid System,5th International Conference for Conference in Technology(I2CT), (2019) pp. 1- 5.
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- [31] Ashar A.R., Modeling and Optimization of Microgrids as Alternative Energy Sources at Campus 2 Ujung Pandang State Polytehcnic,(2019)Thesis. Hasanuddin University, Indonesia
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-c0be5c48-aabd-495b-9b4c-55765782439a