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All Journal Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Majalah Ilmiah Teknologi Elektro JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA)
Faisal Faisal
Politeknik Negeri Ujung Pandang
Computer Science & IT Electrical & Electronics Engineering

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Desain Optimal Power System Stabilizer Pada System Kelistrikan Sulselrabar Menggunakan Bat Algorithm Muhammad Ruswandi Djalal; Faisal Faisal
Jurnal Teknologi Elektro Vol 17 No 1 (2018): (Januari - April) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (907.839 KB) | DOI: 10.24843/MITE.2018.v17i01.P20

Abstract

Masalah penggunaan Power System Stabilizer (PSS) pada eksitasi generator adalah bagaimana menentukan parameter PSS yang optimal. Untuk mengatasi masalah tersebut, penulis menggunakan metode cerdas berbasis algoritma kelelawar untuk mendesain PSS. Algoritma Kelelawar adalah algoritma yang bekerja berdasarkan perilaku kelelawar dalam mencari sumber makanan. Korelasi dengan penelitian ini adalah, sumber makanan yang dicari oleh kelelawar merepresentasikan sebagai parameter PSS yang akan dioptimasi. Algoritma kelelawar akan bekerja berdasarkan fungsi tujuan yang sudah ditentukan, yaitu Integral Time Absolute Error (ITAE). Pada penelitian ini akan dilihat respon deviasi kecepatan dan sudut rotor setiap generator, bila terjadi gangguan di bakaru generator. Hasil analisa menunjukkan, sistem tanpa kontrol menghasilkan osilasi overshoot yang besar, dan setelah tambahan peralatan kontrol PSS osilasi tersebut dapat diredam. Sehingga overshoot dan settling time masing - masing generator dapat dikurangi dan generator dapat dengan cepat menuju ke kondisi steady state.
Intelligent Fuzzy Logic - Cuckoo Search Algorithm Method for Short-Term Electric Load Forecasting in 150 kV Sulselrabar System Muhammad Ruswandi Djalal; Faisal Faisal
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 8, No. 3 Desember 2017
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (589.76 KB) | DOI: 10.24843/LKJITI.2017.v08.i03.p02

Abstract

Forecasting the electrical load becomes important, because it can estimate electricity consumption over a certain time range. Accuracy in electric load forecasting can improve safety and reliability in the operation of power systems such as load flow, maintenance of generating units and scheduling of generating units. In this study used case study system Sulselrabar, which is currently growing, but still not much to discuss about the condition of the current system and which will come. Several methods for predicting electrical loads have been widely used, ranging from conventional to smart-based methods. In this research will be proposed method of artificial intelligence for forecasting Short Term load on Sulselrabar system. The method used is based Fuzzy Logic and Cuckoo Search Algorithm. The combination of Fuzzy logic and Cuckoo Search methods is chosen because the combination of both optimizes optimum fuzzy logic membership, so the forecasting results have a very small error. From the results of the research can be concluded that the result of load forecasting using Fuzzy Logic method optimized using Cuckoo Search Algorithm (FL-CSA) is better than Fuzzy Logic that is not optimized. The analysis results using input data 3 months before day H, to predict the load for one week on January 1 to 7 january 2014, and as a comparison used the predicted day H data. From the simulation results, the mean absolute percentage error (MAPE) is smaller using FLCSA, for the smallest MAPE on 1 January 2014 of 0.06785208%. While the highest MAPE on January 4, 2014 amounted to -0.44973%.
Studi Kestabilan Generator Sistem Sulselrabar Muhammad Ruswandi Djalal; Faisal Faisal
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 3 No 1 (2019): April
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeee-u.v3i1.2067

Abstract

In the standard operating system, the input parameters such as changes in the mechanical torque of the turbine and changes in the field voltage of the amplifier from the exciter need to be considered. Some studies that can be done include the study of the dynamic stability of synchronous generators when dealing with small changes that occur using the eigenvalue approach which is the roots of the characteristic equations of the system state space equation. The eigenvalue can show information on system stability and is related to the response of time to changes in the system. The system used is in the Sulselrabar electrical system. From the simulation results show the characteristics of the system in terms of the frequency response and angle of the generator rotor. For the eigenvalue system value in the inter-area oscillation mode is -0.33293 + 4.0844i, for the oscillation mode it is -0.9043 + 7.9670i. While the generator frequency response, where oscillations occur before reaching steady state conditions. The biggest overshoot response occurs in Old Tello plants, with a maximum overshoot of 0.09124 pu and a minimum of -0.2227 pu. While the smallest overshoot response is found in the Bakaru hydroelectric power plant which is equal to 0.004681 maximum pu and -0.02563 minimum pu.
Co-Authors Muhammad Ruswandi Djalal