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- W3128020194 abstract "Implementation of Solar thermal energy as a source of renewable electricity is currently being developed. The main problem with photovoltaic systems is the result of power efficiency is low. The maximum power point tracking (MPPT) method can increase the efficiency of photovoltaic output power. This research will use the MPPT method with an artificial bee colony (ABC) algorithm. MPPT design will be simulated using Power Simulation (PSIM) software. Simulation results will be compared with no MPPT and MPPT human psychology optimization (HPO) algorithm. The results show MPPT ABC gets the best average accuracy from the average accuracy without MPPT and MPPT HPO, which is 99.95%. And the MPPT ABC has a response time of MPP tracking faster than MPPT HPO, during irradiation 800 W/m 2 , 900 W/m 2 , 1000 W/m 2 ." @default.
- W3128020194 created "2021-02-15" @default.
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- W3128020194 date "2020-12-10" @default.
- W3128020194 modified "2023-09-23" @default.
- W3128020194 title "Implementation of Maximum Power Point Tracking on PV System using Artificial Bee Colony Algorithm" @default.
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- W3128020194 doi "https://doi.org/10.1109/isriti51436.2020.9315527" @default.
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