Rancang Bangun Mobile Solar Tracker Satu Sumbu Pada PV Menggunakan Algoritma Ant Colony Optimization-Fuzzy Logic Control Sebagai Sumber Energi Listrik

Juniarsyah, Diah Ulfa (2021) Rancang Bangun Mobile Solar Tracker Satu Sumbu Pada PV Menggunakan Algoritma Ant Colony Optimization-Fuzzy Logic Control Sebagai Sumber Energi Listrik. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Panel surya merupakan suatu sistem yang dapat mengkonversi radiasi matahari secara langsung menjadi energi listrik. Pada penelitian ini dilakukan Rancang Bangun Mobile Solar Tracker Satu Sumbu Pada PV Menggunakan Algoritma Ant Colony Optimization-Fuzzy Logic Sebagai Sumber Energi Listrik. Parameter perancangan Mobile Solar Tracker Satu Sumbu Pada PV menggunakan Algoritma Ant Colony Optimization-Fuzzy Logic yang digunakan adalah radiasi matahari yang ditangkap oleh sensor LDR dan kemudian diubah dalam bentuk tegangan. Terdapat beberapa sensor yang digunakan yaitu sensor LDR untuk mendeteksi arah matahari, sensor arus ACS712, dan sensor tegangan. LDR yang terpasang sesuai posisi arah mata angin akan mengukur radiasi matahari. LDR timur dan LDR barat merepresentasikan sumbu pitch. Selisih nilai tegangan antara dua LDR akan menjadi error pada input Fuzzy Logic Controller. Performansi sistem kontrol pada sumbu pitch terbaik didapatkan pada pengukuran sudut pitch 60° pukul 10.00 menggunakan kontrol FLC-ACO dengan kriteria Ess=0.50%., Max Ovshoot=0, Rise Time=4 detik dan settling time=4.39 detik. Dari perancangan yang dilakukan, sistem solar tracker satu sumbu dengan kontrol Fuzzy Logic Controller dengan optimasi Ant Colony Optimization dibandingakn dengan Fuzzy Logic Controller menghasilkan peningkatan performansi panel surya sebesar 35.19% sedangkan dengan kontrol Fuzzy Logic Controller performansi panel surya sebesar 33.70%
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Solar panels are a system that can convert solar radiation directly into electrical energy. In this research, the Design of One Axis Mobile Solar Tracker in PV is carried out using the Ant Colony Optimization-Fuzzy Logic Algorithm as an Electric Energy Source. The design parameter of the One Axis Mobile Solar Tracker in PV using the Ant Colony Optimization-Fuzzy Logic Algorithm used is solar radiation captured by the LDR sensor and then converted in the form of voltage. There are several sensors used, namely the LDR sensor to detect the direction of the sun, the ACS712 current sensor, and the voltage sensor. LDR installed according to the cardinal position will measure solar radiation. The east LDR and west LDR represent the pitch axis. The difference in voltage values between the two LDRs will be an error at the input of the Fuzzy Logic Controller. The best performance of the control system on the pitch axis was obtained at pitch 60° 10.00 using the FLC-ACO control with the criteria Ess = 0.50%., Max Ovshoot = 0, Rise Time = 4 seconds and settling time = 4.39 seconds. From the design carried out, single axis solar tracker system with Fuzzy Logic Controller control with Ant Colony Optimization compared to Fuzzy Logic Controller resulted in a 35.19% increase in solar panel performance while with Fuzzy Logic Controller control solar panel performance by 33.70%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Panel surya, Solar Tracker, Fuzzy Logic Control, ACO, Photovoltaic.
Subjects:	T Technology > T Technology (General) T Technology > T Technology (General) > T174.5 Technology--Risk assessment.
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Dia Ulfa Juniarsyah
Date Deposited:	27 Aug 2021 03:36
Last Modified:	27 Aug 2021 03:36
URI:	http://repository.its.ac.id/id/eprint/89860

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