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Sistem Monitoring Lingkungan Pada Pembangkit Listrik Tenaga Surya Berbasis Singkatan dari Supervisory Control And Data Acquisition Muzni Sahar; Gidion Tampubolon; Arif Gunawan
Jurnal Karya Ilmiah Multidisiplin (JURKIM) Vol. 2 No. 1 (2022): Jurnal Karya Ilmiah Multidisiplin (Jurkim)
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (743.087 KB) | DOI: 10.31849/jurkim.v2i1.9208

Abstract

The large potential of solar energy in Indonesia is due to being on the equator and as a tropical country causing a very large emission of solar energy. Therefore, to optimize this renewable natural energy, solar panels are used as a tool that converts solar energy into electrical energy. In this study the system is carried out to produce optimal solar panel power and to determine the effect of the environment, namely light intensity and surface temperature of the solar cell on the output power of the solar panels. In this study, 3 units of 100 wp solar panels were used which were assembled in series using dual axis solar tracking using a photodiode sensor. Then added the voltage sensor, current sensor, and temperature sensor SHT 11 as environmental parameters. The results show that when using solar tracking it produces an increase in power of up to 10 - 11% increase compared to without using a solar tracking / control system. The greater the intensity of sunlight produced, the greater the output power of the solar panels produced. At the largest solar panel voltage temperature when the temperature is 36 ℃ with a voltage of 62.9 ℃ and when the temperature is high when 41.5 ℃ the resulting voltage is 58.5 V. The increase in temperature causes the voltage of the solar panels to decrease and the power generated by the solar panels decreases. Abstrak Besarnya potensi energi matahari di Indonesia yang dikarenakan berada di garis khatulistiwa dan sebagai negara tropis menyebabkan pancaran energi matahari sangat besar.Oleh karena itu untuk mengoptimalkan energi alam yang terbarukan ini dipakailah panel surya sebagai alat dapat yang mengubah energi matahari menjadi energi listrik.Pada penelitian ini dilakukan sistem untuk menghasilkan daya panel surya yang optimal dan mengetahui pengaruh lingkungan yaitu intensitas cahaya dan suhu permukaan solar cell terhadap daya keluaran panel surya. Pada penelitian ini digunakan panel surya 100 wp sebanyak 3 buah yang dirangkai secara seri dengan menggunakan solar tracking dual axis menggunakan sensor photodioda.Lalu ditambah sensor tegangan ,sensor arus,serta sensor suhu SHT 11 sebagai parameter lingkungan..Dari data yang didapat menunukkan bahwa pada saat menggunakan solar tracking menghasilkan peningkatan daya hingga 10 – 11 % kenaikkan dibanding tanpa menggunakan solar tracking/sistem kendali.Semakin besar intensitas cahaya matahari yang dihasilkan maka semakian besar daya output panel surya yang dihasilkan.Pada temperature tegangan panel surya terbesar ketika suhu 36℃ dengan tegangan 62,9℃ dan saat temperature tinggi ketika 41,5℃ dihasilkan tegangan 58,5 V. Kenaikan suhu mengakibatkan tegangan panel surya mengalami penurunan dan daya yang dihasilkan oleh panel surya menurun.
A Pendekatan Extended Kalman Filter untuk Estimasi Keadaan Dinamis pada Generator Sinkron dengan Model Kompleks Nabila Aulia Ramadhani; Arif Gunawan; Syahrizal; Hendri Novia Syamsir; Muzni Sahar
Jurnal Elektronika dan Otomasi Industri Vol. 12 No. 3 (2025): Jurnal Elkolind Vol 12 No 3 (September 2025)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v12i3.8782

Abstract

State information of synchronous generators plays a crucial role in monitoring, control, and fault detection within power systems, yet direct measurement often remains limited. This study proposes a dynamic state estimation method based on the sub-transient model of a synchronous generator combined with the Extended Kalman Filter algorithm. The approach enables accurate state estimation using only terminal measurements, making it suitable for real-time monitoring applications. The algorithm operates through prediction and correction stages that iteratively update the estimated states. Simulation results demonstrate that the proposed method achieves low mean square error values across various operating conditions and disturbance scenarios. The unstable fault case yields the smallest error of 4.41×10⁻⁹, while the combined process and measurement noise scenario results in the largest error of 1.19×10⁻¹. These findings confirm that the proposed approach provides accurate and reliable state estimation for synchronous generator sub-transient models and has strong potential to enhance power system stability and reliability.