Inverter Baterai Cerdas Untuk Pengendalian Impor-Ekspor Energi Terintegrasi IoT

Adhisthanaya Indrawan, Anak Agung Maharaja (2026) Inverter Baterai Cerdas Untuk Pengendalian Impor-Ekspor Energi Terintegrasi IoT. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pengendalian impor dan ekspor daya pada inverter berbasis baterai merupakan aspek penting dalam sistem penyimpanan energi modern. Penelitian ini bertujuan merancang dan mengimplementasikan pengendali fuzzy-PI untuk menjaga kestabilan daya pada dua mode operasi utama yaitu ekspor daya dari baterai ke beban dan impor daya dari jaringan untuk pengisian baterai. Metode yang digunakan meliputi perancangan aturan fuzzy, penyetelan parameter PI, serta integrasi modul sensor arus dan tegangan untuk pemantauan real time. Pengujian dilakukan dengan memberikan setpoint daya bertahap, yaitu 100-600 W untuk mode ekspor dan 50-250 W untuk mode impor. Hasil pengujian menunjukkan bahwa sistem mampu mengikuti setpoint dengan performa yang stabil pada kedua mode operasi. Pada mode ekspor, steady state error berada pada 2,5-7% pada setpoint menengah hingga tinggi tanpa menunjukkan osilasi. Pada mode impor, error daya berada dalam ±3% dari setpoint dengan respons arus dan tegangan yang stabil selama proses pengisian baterai. Pengendali fuzzy-PI terbukti mampu meredam osilasi, mempercepat rise time, serta menjaga parameter daya tetap stabil pada seluruh rentang pengujian.
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Power import and export control in battery-based inverters is a critical aspect of modern energy storage systems. This research aims to design and implement a fuzzy-PI controller to maintain power stability under two main operating modes, namely power export from the battery to the grid and power import from the grid for battery charging. The proposed method includes the design of fuzzy rules, tuning of PI parameters, and integration of current and voltage sensors for real-time monitoring. Experimental testing was conducted by applying stepwise power setpoints ranging from 100-600 W in export mode and 50-250 W in import mode. The experimental results show that the system is capable of tracking the power setpoint with stable performance in both operating modes. In export mode, the steady state error remains within 2.5-7% at medium to high power levels, without exhibiting oscillatory behaviour or system instability. In import mode, the power error remains within ±3% of the setpoint, with stable current and voltage responses throughout the battery charging process. The fuzzy-PI controller effectively suppresses oscillations, shortens the rise time, and maintains stable power parameters across the entire testing range.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Battery Inverter, Fuzzy-PI, IoT, Energy
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2692 Inverters T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7872 Electric current converters, Electric inverters.
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20101-(S2) Master Thesis
Depositing User:	A A. Maharaja Adhisthanaya Indrawan
Date Deposited:	21 Jan 2026 07:12
Last Modified:	21 Jan 2026 07:12
URI:	http://repository.its.ac.id/id/eprint/129965

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