PENGARUH POWER SYSTEM STABILIZER PADA SISTEM TENAGA LISTRIK DENGAN UNIT PEMBANGKIT TERSEBAR

Deregulasi pada sistem tenaga saat ini membawa kecenderungan untuk membangun unit-unit pembangkit yang letaknya tersebar dekat dengan pusat-pusat beban. Beroperasinya unit pembangkit tersebar membawa kecenderungan transfer daya inter dan antar area menjadi berkembang yang mengakibatkan perubahan titik operasi pembangkitan dan masalah pada stabilitas dinamis sistem. Perbaikan stabilitas dinamis sistem tenaga dapat ditingkatkan dengan pemasangan Power System Stabilizer (PSS). Penelitian ini bertujuan mengetahui pengaruh pemasangan PSS pada satu pusat pembangkit terhadap perbaikan stabilitas dinamis keseluruhan unit/pusat pembangkit lain termasuk unit pembangkit tersebar yang terkoneksi ke jaringan. Penelitian dilakukan secara simulasi dengan program aplikasi MatPower 3.0 dan MATLAB 7.0.4. Pembangkit tersebar (DG) yang diteliti adalah PLTMH yang masuk ke salah satu bus pada sistem 14 bus dan 3 pusat pembangkit. Hasil penelitian menunjukkan PSS yang dipasang di Pembangkit Ampenan memberikan perbaikan nilai eigen (AVR+PSS Pembangkit Ampenan), koefisien redaman dan koefisien sinkronisasi rata-rata berturut-turut sebesar 65.90%, 49.84% dan 78.04 % untuk berbagai operasi pembebaban. Perbaikan ini juga mempengaruhi unjuk kerja keseluruhan pembangkit termasuk DG, kecuali waktu steady state perubahan kecepatan sudut DG tetap (tidak mengalami perbaikan) sebesar 1.80 detik.</p

Dynamic Stability Improvement of Multimachine Power Systems using ANFIS-based Power System Stabilizer

Modern power system are very vurnerable to against load fluctuation during their operation. Load fluctuation identified as small disturbance is important to test dynamic (small signal) stability. This research is focused on improvement of multimachine dynamic stability by using ANFIS-based power system stabilizer (proposed PSS). ANFIS method is proposed because the ANFIS computation is more efective than Mamdani fuzzy computation. Simulation results show that the proposed PSS is able to maintain the dynamic stability by decreasing peak overshoot (Po) to the value -3,37´10-5 pu/pu and accelerating settling time (St) to the time 4.01 s for rotor speed deviation Machine-2. Also, the Po is decreased to the value -3,37´10-5 pu/pu and the St is accelerated to the time 3.98 s for rotor speed deviation Machine-3

Coordination of Adaptive Neuro Fuzzy Inference System (ANFIS) and Type-2 Fuzzy Logic System-Power System Stabilizer (T2FLS-PSS) to Improve a Large-scale Power System Stability

Intelligent control included ANFIS and type-2 fuzzy (T2FLS) controllers grown-up rapidly and these controllers are applied successfully in power system control. Meanwhile, small signal stability problem appear in a large-scale power system (LSPS) due to load fluctuation. If this problem persists, and can not be solved, it will develop blackout on the LSPS. How to improve the LSPS stability due to load fluctuation is done in this research by coordinating of PSS based on ANFIS and T2FLS. The ANFIS parameters are obtained automatically by training process. Meanwhile, the T2FLS parameters are determined based on the knowledge that obtained from the ANFIS parameters. Input membership function (MF) of the ANFIS is 5 Gaussian MFs. On the other hand, input MF of the T2FLS is 3 Gaussian MFs. Results show that the T2FLS-PSS is able to maintain the stability by decreasing peak overshoot for rotor speed and angle. The T2FLS-PSS makes the settling time is shorter for rotor speed and angle on local mode oscillation as well as on inter-area oscillation than conventional/ ANFIS-PSS. Also, the T2FLS-PSS gives better performance than the other PSS when tested on single disturbance and multiple disturbances

Aplikasi Fuzzy Type-2 PSS untuk Perbaikan Stabilitas Dinamik Pembangkit Listrik Tenaga Mikro Hidro dan Diesel: Application of Fuzzy Type-2 PSS to Improve Dynamic Stability of Micro Hydro and Diesel Power Plants

Teknologi fuzzy tipe 2 (FT2) berkembang sangat pesat dan memasuki bidang stabilitas sistem tenaga listrik. Pembangkit listrik tenaga mikro hidro (PLTMH) dan diesel (PLTD) riskan terhadap gangguan perubahan beban. Studi stabilitas penting dikerjakan untuk memastikan bahwa operasi PLTMH-PLTD tetap stabil ketika dan setelah beban berubah. Maka power system stabilizer (PSS) berbasis FT2 diusulkan untuk perbaikan stabilitas sistem tersebut. FT2PSS didesain dengan input kecepatan rotor dan derivatifnya. Outputnya adalah sinyal stabilitas yang diumpankan pada sistem eksitasi. Hasilnya, FT2PSS mampu mereduksi overshoot -0,035 deg. Sedangkan overshoot untuk CPSS adalah -0,051 deg. FT2PSS juga dapat mempersingkat settling time dan mempercepat steady state. Stabilitas PLTMH-PLTD yang dilengkapi dengan FT2PSS diperbaiki secara significan

Perbaikan Stabilitas Dinamik Sistem Tenaga Terintegrasi Pembangkit Listrik Tenaga Mikro Hidro dan Diesel Menggunakan PSS Berbasis ANFIS

Power generating units should be built closed to load centers according to electric power company regulation. These units are generally small in capacity, so that makes power transfer among inter- and outer-areas is easier to be done. This study aims to improve dynamic stability of a Micro Hydro Power Plant (MHPP) on perspective of 5% load increased in Diesel Power Plant (DPP). The DPP is equipped by an ANFIS-based Power System Stabilizer (PSS) in this scheme. Two inputs with Gauss2mf membership function (MF) type and 5-number of the each MF are used to implement the ANFIS model. Simulation results show that overshoot of MHPP power angle deviation is reduced to the values of 0.023, 0.0138 and 0.0132°, for the DPP without PSS, conventional and ANFIS PSS, respectively.  Also, reduction in setting time is achieved at times &gt;6, 4.051 and 3.553 s. It is shown that the ANFIS PSS is more effective to enhance the dynamic stability compared to other PS

Strategy to reduce transient current of inverter-side on an average value model high voltage direct current using adaptive neuro-fuzzy inference system controller

Growing-up of high voltage direct current (HVDC) penetration into modern power systems (PS) makes difficulty on the PS operation. The HVDC produces high and slow transient current (TC) at start-time, especially for higher up-ramp rate (Urr&gt;20 pu/s). Its condition makes the HVDC cannot be linked and synchronized into the PS rapidly. A strategy to reduce the TC is proposed by an adaptive network based fuzzy inference system (ANFIS) control on inverter HVDC-link to cope up this problem. The ANFIS control is tuned with the help of conventional control in various train-data by using offline mode. Response of ANFIS scheme is improved by suppressing TC at the values of 3.75% for the both phases (A and C), and 3.95% for phase B, for the Urr=30 pu/s. While the conventional control achieved at 9.1% for the both phases (A and B), and 9.2% for the phase C. The ANFIS control gives shorter settling time (0.553 s) than the conventional control (0.584 s) for all phases. The proposed control is more effective than the conventional control at all the scenario

Rancang Bangun Smart Energy Meter Berbasis UNO dan Raspberry Pi

Smart energy meter (SEM) is developed to the transparency goal of energy consumption by consumers for tariff strategy. The tariff strategy is designed based on the type of consumer load that per-kWh energy price difference for linear and nonlinear loads. Energy conscious awareness is built by displaying all load power consumption information from consumer loads such as voltage, current, power factor, load properties, load type, power, volt-ampere distortion, power factor distortion, THD, current and voltage waveforms, and harmonic frequency spectrum. The SEM is designed using ZMCT103C and ZMPT101B for current and voltage sensors, respectively. The SEM security function uses the SW420 vibrating sensor, open/close bolt sensor on the chasing and electronic lock. The results show that error measurement of the voltage sensor, current sensor, and power factor are 0.8%, 1.5%, and 1.0% respectively. The SEM security works well as the information on maintenance and criminal actions are informed on screen and buzzer sound for criminal acts. The tariff strategy for linear and nonlinear loads is used to calculate the energy cost per-kWh. The details of load energy consumption are stored in a database

Program Perawatan Komunikasi Satelit (VSAT) Di Desa Tumpak Lombok Tengah

Satellite communications, especially VSAT in Tumpak Village, are often disrupted, so the Electrical Engineering Department team at the University of Mataram did community service. A maintenance program was carried out to maintain the continuity of satellite communications, especially VSAT, which was carried out with moderate results because the equipment has been used for more than 5 years. The provider has changed and the available bandwidth is still small, it needs to increase the speed, but the finances are also big for the village, they have to have a reserve fun

Desain Power System Stabilizer Berbasis Fuzzy Tipe-2 untuk Perbaikan Stabilitas Mesin Tunggal

The growth of type-2 fuzzy logic system is penetrating electric power system field, especially on electric power system control sub-field in order to simplify the design of power system stabilizer (PSS). Traditionally, the function of conventional PSS is to damp rotor oscillation when a disturbance occurred due to transmission configuration or/and loading changes. However, the response of conventional PSS is slow with long settling time and high peak overshoot. To cover this problem, PSS based on type-2 fuzzy logic system (PFT2) is proposed. Simulation results show that the PFT2 is able to improve the stability of a single machine with 3 scenarios on transmission configuration and loading variation. The PFT2 gives shorter settling time for all scenarios and loading variation than the settling time of conventional PSS. Also, the peak overshoot of the PFT2 is smaller than the peak overshoot of the other competing PSS

Pelatihan Arduino Untuk Pembuatan Alat Ukur Suhu Tubuh Non Kontak Berbasis Android Pada Siswa SMA

SMAN 3 Mataram has a vision of forming human resources who are honest, trustworthy, and smart. One of the missions is to improve the ability in science, technology and skills. During the COVID-19 pandemic, healthy and clean living behavior is required according to the protocol by keeping a distance and avoiding crowds. To encourage skill and creative students, the PKM Team carries out Arduino training to measure non-contact body temperature. Arduino training modules are made easy to disassemble and can be monitored by Android phones via Bluetooth, with the MIT APP Inventor 2 program interface. The MLX90614 sensor can be used as a body temperature measurement via wireless during the Covid-19 pandemic. The training was carried out by means of presentations on the basic principles of Arduino and the introduction of analog sensors to measure body temperature. In order to be effective and efficient, the presentation of hardware circuits is directly practiced and supervised by electrical students. Competent lecturers provide training on making android programs, case studies of body temperature sensors. This PKM activity was attended by 23 students who were divided into 4 groups to match the number of modules. Based on the results of the evaluation of the pretest and posttest, there was an increase in knowledge of 34.5% from the pretest average of 51.2 to the posttest average of 78.2. A total of 13 students (56.6%) had additional motivation to find out more about the Arduino application.SMAN 3 Mataram memiliki visi membentuk sumber daya manusia yang jujur, amanah, dan cerdas. Salah satu misinya adalah meningkatkan kemampuan ilmu pengetahuan, teknologi dan keterampilan. Di masa pandemi COVID-19, perilaku hidup bersih dan sehat diperlukan sesuai protokol dengan menjaga jarak dan menghindari keramaian. Untuk mendorong skill dan kreativitas mahasiswa, Tim PKM melaksanakan pelatihan Arduino untuk mengukur suhu tubuh non-kontak. Modul pelatihan Arduino dibuat mudah untuk dibongkar dan dapat dipantau oleh ponsel Android melalui Bluetooth, dengan antarmuka program MIT APP Inventor 2. Sensor MLX90614 dapat digunakan sebagai pengukur suhu tubuh melalui nirkabel selama masa pandemi Covid-19. Pelatihan dilakukan dengan presentasi tentang prinsip dasar Arduino dan pengenalan sensor analog untuk mengukur suhu tubuh. Agar efektif dan efisien, penyajian rangkaian perangkat keras langsung dipraktikkan dan diawasi oleh mahasiswa elektro. Dosen berkompeten memberikan pelatihan pembuatan program android, studi kasus sensor suhu tubuh. Kegiatan PKM ini diikuti oleh 23 mahasiswa yang dibagi menjadi 4 kelompok sesuai jumlah modul. Berdasarkan hasil evaluasi pretest dan posttest terjadi peningkatan pengetahuan sebesar 34,5% dari rata-rata pretest 51,2 menjadi rata-rata posttest 78,2. Sebanyak 13 siswa (56,6%) memiliki motivasi tambahan untuk mengetahui lebih jauh tentang aplikasi Arduino