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ANFIS-based MPPT Controller Design on Boost Converter to Improve Photovoltaic System Performance I Made Ari Nrartha; Muhammad Rolan Alfian; Teti Zubaidah
DIELEKTRIKA Vol 9 No 2 (2022): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

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Abstract

The efficiency of the photovoltaic system is very low ranging from 9-17% in areas with low irradiation while the investment costs are quite high. In addition, the power output of the photovoltaic system is highly volatile due to changes in irradiation due to weather and cloud movement, and temperature change. This research proposes the MPPT method based on ANFIS in the photovoltaic system for transient behavior analysis and system efficiency improvement. The results of the proposed method were compared with the MPPT Perthub & Observe (P&O) method. Each MPPT method was applied to a boost converter connected to a photovoltaic module with a capacity of 150 Wp to adjust the duty cycle using Simulink simulation in MATLAB. The irradiation and temperature data for 3 consecutive days were from Saturday to Monday, September 4 to 6, 2021. The simulation results show that the transient time of ANFIS MPPT is 6.23 times faster than that of P&O MPPT. The efficiency of ANFIS-based MPPT is higher than MPPT P&O. At 917.3 W/m2 of irradiation, the output power of the boost converters are 132.09, and 111.69 Watt for the ANFIS-based MPPT controller, and the P&O method MPPT, respectively.
Unraveling the Seismic Signal Anomaly at Mount Rinjani Station: In-Depth Exploration with the Detrended Fluctuation (DFA) Analysis Method in Connection with the 2018 Big Earthquake on Lombok Island, West Nusa Tenggara Bulkis Kanata; Rosmaliati; Teti Zubaidah; Made Sutha Yadnya; Abdullah Zainuddin; Dwi Ratnasari; Nur Fitratunnisa; Muhammad Fajrin Akbar
Jurnal Penelitian Pendidikan IPA Vol 10 No 1 (2024): January
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i1.6263

Abstract

We analyzed the seismic signals of the Mount Rinjani station to identify possible seismic anomalies before a series of major earthquakes on Lombok Island in 2018. We observe anomalies before earthquake events Mw >= 5.90. This research applies the detrended fluctuation analysis (DFA) method to investigate possible earthquake precursors associated with the analyzed earthquake. The results showed a relationship between scaling seismic signals (α) that exceeds the threshold of α values during the analysis period, and there is a deviation of the root mean square fluctuations in the corresponding scaling that should be rising but constant. The value of α with constant root mean square fluctuations occurs one to three days before the preliminary earthquake Mw 6.40 (28/07/2018) UTC and eight to 10 days before the main earthquake Mw 6.90 (05/08/2018). The Mw 6.90 earthquake had the most magnitude and could significantly contribute to the appearance of seismic anomalies.