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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Applied Power Engineering (IJAPE) MEDIA ELEKTRIKA Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Majalah Ilmiah Teknologi Elektro Transmisi: Jurnal Ilmiah Teknik Elektro Mechatronics, Electrical Power, and Vehicular Technology Jurnal Sains dan Teknologi Jurnal Teknik Elektro Jurnal Teknik Elektro JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Teknologi Sinergi Jurnal Teknologi Informasi dan Ilmu Komputer International Journal of Advances in Intelligent Informatics CESS (Journal of Computer Engineering, System and Science) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika EMITTER International Journal of Engineering Technology JURNAL NASIONAL TEKNIK ELEKTRO Proceeding of the Electrical Engineering Computer Science and Informatics PROtek : Jurnal Ilmiah Teknik Elektro Journal of Electrical Technology UMY Jurnal Teknologi dan Sistem Komputer International Journal of Artificial Intelligence Research Journal of Information Technology and Computer Science Jurnal TAM (Technology Acceptance Model) Abdimas Dewantara JURNAL INSTEK (Informatika Sains dan Teknologi) SENTIA 2015 INTEK: Jurnal Penelitian Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan EPI International Journal of Engineering Jurnal Teknologi Elekterika Jurnal Abdi Insani Jurnal JEETech JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Jurnal Fortech Jurnal Teknik Mesin Sinergi Makara Journal of Technology Techno Jurnal Ilmiah Teknik Elektro Journal of Advanced Technology and Multidiscipline (JATM) Sewagati Majalah Ilmiah Teknologi Elektro Jurnal TAM (Technology Acceptance Model) Jurnal FORTECH
Muhammad Ruswandi Djalal
Politeknik Negeri Ujung Pandang
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

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Journal : Sinergi

 1 
OPTIMAL DESIGN PSS-PID CONTROL ON SINGLE MACHINE INFINITE BUS USING ANT COLONY OPTIMIZATION Nasrun Kadir; Muhammad Ruswandi Djalal
SINERGI Vol 25, No 2 (2021)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2021.2.008

Abstract

Optimization of the controller in a generator can improve system performance. The right parameter optimization is needed to get the optimal performance from the controller. The application of the artificial intelligence method as a parameter optimization method is proposed in this study. By using the smart method based on Ant Colony, the optimal PSS-PID parameters are obtained. With optimal tuning, the system gets optimal Single Machine Infinite Bus (SMIB) system frequency and rotor angle response, indicated by the minimum overshot system response. The SMIB system's stability will be tested. A case study of adding and reducing loads is used, with the proposed control method PSS-PID being optimized using Ant Colony. Based on the analysis using the proposed PSS-PID control, we get the minimum overshoot for the frequency response and rotor angle of the SMIB system. When the load changes at 20 seconds, using the PSS-PID control scheme, the minimum overshoot is -4.316e-06 to 7.598e-05 pu with a settling time of 22.01s. For the rotor angle overshoot response, using the PSS-PID control scheme, the minimum overshoot is -0.01113 to -0.009669 pu with a settling time of 22.36s.
BAT ALGORITHM IMPLEMENTATION TO OPTIMALLY DESIGN THE STABILIZER POWER SYSTEM ON THE SUPPA GENERATOR Muhammad Ruswandi Djalal; Herman HR
SINERGI Vol 23, No 3 (2019)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (378.006 KB) | DOI: 10.22441/sinergi.2019.3.007

Abstract

One of the control devices that can be used to strengthen the performance of PLTU Suppa is the installation of Power System Stabilizer. The problem of using Power System Stabilizer (PSS) in generator excitation is how to determine the optimal PSS parameter. To overcome these problems, the authors use a method of intelligent bats to design PSS. Bat's algorithm will work based on the specified destination function, which is an Integral Time Absolute Error (ITAE). In this research, we will see the deviation response of velocity and the rotor angle of the suppa generator in case of interference. The results of the analysis show that the uncontrolled system produces oscillation overshoot speed of -0.02437 pu to 0.006517 pu, conventional PSS about -0.02186 pu to 0.004623 pu and with PSS Bat overshoot of -0.01507 pu up to 0.0006223 pu. A loop for rotor angle response shows good results with reduced oscillation and rapidly leading to steady-state conditions. From the analysis results can be concluded, the performance of suppa generator is increased with the installation of Power System Stabilizer with optimal PSS parameters, with parameters respectively Kpss = 32.2077, T1 = 0.0173, T2 = 0.0401, T3 = 0.9174, T4 = 1.2575.
Optimal design of energy storage for load frequency control in micro hydro power plant using Bat Algorithm Muhammad Ruswandi Djalal; Nasrun Kadir
SINERGI Vol 26, No 1 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.1.002

Abstract

The rotational speed of a generator affects the frequency and voltage produced, where this change will affect the load side. For that we need a control equipment that can optimize the performance of micro-hydro. Therefore, we need a technology to optimize the performance of micro hydro by applying Load Frequency Control (LFC). LFC designed by implementing Superconducting Magnetic Energy Storage (SMES) and Capacitive Energy Storage (CES), this application will provide power compensation to reduce or even eliminate frequency oscillations caused by changes in consumer electrical power loads. To get optimal microhydro performance, it is necessary to set the right parameters for SMES and CES. SMES and CES parameter tuning in this study is proposed using the Bat Algorithm. The objective function used by this algorithm is to optimize the Integral Time Absolute Error (ITAE). For performance analysis, the system is tested with load changes, then the governor, turbine, and system frequency responses are analyzed. To test the reliability of the system, this study used several scenarios of a combination of control, SMES, CES, with conventional control based on Proportional, Integral, Derivative (PID). The right control parameters will improve system performance more optimally. Optimal system performance can be seen from the response of the governor, turbine, and minimum overshoot of the frequency, as well as the fast settling time for the system to switch to steady state conditions.
DESIGN OF OPTIMAL PID CONTROLLER FOR THREE PHASE INDUCTION MOTOR BASED ON ANT COLONY OPTIMIZATION Muhammad Ruswandi Djalal; Faisal Faisal
SINERGI Vol 24, No 2 (2020)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (411.338 KB) | DOI: 10.22441/sinergi.2020.2.006

Abstract

Speed control of an induction motor is an important part of the operation of an induction motor. One method of regulating motor speed is the addition of a PID controller. PID parameters must be tuned properly to get the optimal speed. In this study, the PID controller tuning method uses an artificial intelligence method based on Ant Colony Optimization (ACO). ACO algorithm in an intelligent algorithm that is inspired by the behavior of ants looking for food sources in groups with traces of feromone left behind. In this study, food sources are represented as optimal parameters of PID. From the computational results obtained optimal parameters respectively, P (Proportional) 0.5359, I (Integral) 0.1173, D (Derivative) 0.0427. ACO computing found the optimal parameters in the 21st iteration with a minimum fitness function of 11.8914. Case studies are used with two variations of the speed of the induction motor input. With optimal tuning, the performance of the induction motor is increasing, marked by a minimum overshoot of 1.08 pu and a speed variation of both overshoots of 1,201 pu, whereas without control 1.49 pu and 1.28 pu, as well as with PID trial control of 1.22 pu and 1.23 pu respectively. The benefits of this research can be used as a reference for the operation of induction motors, by tuning the Ant Colony intelligent method for the PID controller in real-time with the addition of microcontroller components.
Determination of the parameters of the firefly method for PID parameters in solar panel applications Machrus Ali; Hadi Suyono; Muhammad Aziz Muslim; Muhammad Ruswandi Djalal; Yanuar Mahfudz Safarudin; Aji Akbar Firdaus
SINERGI Vol 26, No 2 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.2.016

Abstract

The optimal performance of solar panels is very important to produce maximum electrical energy. Solar panels can work optimally when equipped with a solar tracker. The solar panel tracker works by following the sun's movement. A Proportional, Integral, Derivative (PID) based control is used to optimize the performance of the solar tracker. An optimal tuning is needed to get the PID parameter. The Firefly method is an intelligent method that can be used to optimize PID parameters. Three Firefly Algorithm (FA) parameters are used in the program: Beta is used to determine firefly speed, Alpha is used for flexibility of movement, and Gamma is used for more complex constraints or problems. This Dual Axis photovoltaic tracking study uses the beta value determination, changing the Bêta value from 0.1 to 0.9. From the results of 10 models, it was found that the PID constant values were varied. On the horizontal Axis, the best results are if the Beta is given at 0.4, and the worst result is if the Beta is given at 0.8. On the vertical Axis, the best results are if the Beta is given at 0.3, and the worst result is if the Beta is given at 0.8. 
Modeling and implementing a load management system for a solar home system based on Fuzzy Logic Makmur Saini; Muhammad Ruswandi Djalal; Muhammad Azhar; Golda Evangelista Patrix
SINERGI Vol 27, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.2.014

Abstract

Solar Home System is one of the technologies for utilizing solar power at home. To optimize the performance of PLTS, it is necessary to regulate the use of electrical energy. In this research, an effort is made to control the load using fuzzy logic to regulate the power consumption used by the load so that energy can be utilized effectively. The fuzzy logic method works based on the input given so that the desired results can be as expected. To test the effectiveness of the fuzzy logic method, this study was tested with two types of loads: lighting and fan loads. For lighting loads, it uses two light sensor inputs, and for air conditioning, it uses two temperature sensor inputs and a PIR sensor. The test results show that in the experiment of setting the light load using fuzzy logic, the average power usage at the load is 11.31 watts. In contrast, without fuzzy logic, the average power usage value for the load is 14.29 watts. In the fan load control experiment using fuzzy logic, the energy consumption setting was obtained according to the room temperature input and the number of people in the room. The test results received power usage without using fuzzy logic, where the average fan power usage value is 4.32 Watts, while without fuzzy logic, the average power usage value is 2.97 Watts. For one sensor input, the average power usage value of the average fan is 3.02 Watts; without fuzzy logic, the average power usage value is 2.93 Watts for two sensor inputs. 
Using Particle Swarm Optimization for Power System Stabilizer and energy storage in the SMIB system under load shedding conditions Mansur Mansur; Muhammad Ruswandi Djalal
SINERGI Vol 27, No 3 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.3.013

Abstract

Generator instability, which manifests as oscillations in frequency and rotor angle, is brought on by sudden disruptions in the power supply. Power System Stabilizer (PSS) and Energy Storage are additional controllers that enhance generator stability. Energy storage types include superconducting magnetic (SMES) and capacitive (CES) storage. If the correct settings are employed, PSS, SMES, and CES coordination can boost system performance. It is necessary to use accurate and effective PSS, SMES, and CES tuning techniques. Artificial intelligence techniques can replace traditional trial-and-error tuning techniques and assist in adjusting controller parameters. According to this study, the PSS, SMES, and CES parameters can be optimized using a method based on particle swarm optimization (PSO). Based on the investigation's findings, PSO executes quick and accurate calculations in the fifth iteration with a fitness function value of 0.007813. The PSO aims to reduce the integral time absolute error (ITAE). With the addition of a load-shedding instance, the case study utilized the Single Machine Infinite Bus (SMIB) technology. The frequency response and rotor angle of the SMIB system are shown via time domain simulation. The analysis's findings demonstrate that the controller combination can offer stability, reducing overshoot oscillations and enabling quick settling times. 
Utilizing PVSyst for planning a hybrid system rooftop solar power plant at Makassar Eye Hospital Sonong, Sonong; Yunus, A.M. Shiddiq; Djalal, Muhammad Ruswandi; Sianturi, Farhan; Purnama, Rahma; Takdir, Ahmad
SINERGI Vol 28, No 3 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2024.3.008

Abstract

Installing rooftop Solar Power Plants (SPP) represents the most efficient solution for reducing substantial electricity consumption in office buildings and hospitals, as Makassar Eye Hospital exemplifies. The research commences by addressing concerns about electricity availability and daily usage at the hospital while evaluating the solar radiation potential. Subsequently, the development of the SPP system begins. A location assessment is conducted using various tools to gather the necessary data for SPP design. In this study, the planning phase involves the utilization of PVSyst software for the technical analysis of electrical energy generation and system performance calculations. Additionally, the economic analysis includes evaluating the initial investment costs for establishing the SPP and considering prevailing market prices for components. The feasibility of the SPP investment is determined by calculating key financial metrics, including the Payback Period (PP), Net Present Value (NPV), Internal Rate of Return (IRR), Profitability Index (PI), and Return on Investment (ROI). According to the economic analysis findings, the initial investment cost for the SPP amounts to Rp. 544.031.733. The energy production value per kilowatt-hour (kWh) stands at Rp. 1.278, resulting in a Payback Period (PP) of 13,8 years, a Net Present Value (NPV) of Rp. 138.182.638, an Internal Rate of Return (IRR) of 11.51%, and a Return on Investment (ROI) of 25.4%. These results affirm the plan's feasibility, as the IRR value surpasses the Discount Rate (8.43%).
Co-Authors A. M. Shiddiq Yunus A. M. Shiddiq Yunus A.M Shiddiq Yunus Adnan Ainun Hasri Ahmad Ilham, Amil Ahmad Rosyid Idris Ahmed Abu-Siada Al Irsad, Muhammad Afif Alkautsar, Rifaldi Andareas Pangkung Andareas Pangkung Andarini Asri Andi Imran Andi Wely Fauziah Apollo Apollo Apollo Apollo Apollo Apollo Apollo Apollo Ardaniah, Ardaniah Aulia, Dzacky Awan Uji Krismanto Buana, Chandra Budiman Budisantoso Wirjodirdjo Candra Riawan, Dedet Caturindah, Winarty Chandra Bhuana Deum Patria F Abbas Dian, Faizal Dwi Ajiatmo Dwi Ajiatmo Dwi Ajiatmo Dwi Ajiatmo Dwi Lastomo, Dwi Dwia Ayanis, Rifa Eddy Setyo Koenhardono, Eddy Setyo Faisal Faisal Faisal Faisal Faisal Faisal Faisal Faisal Firdaus Firdaus Firdaus, Aji Akbar Ghazi, Argon Luthfan Golda Evangelista Patrix Hadi Suyono Haque, Gabriel Harus Laksana Guntur Herlambang Setiadi Herlambang Setiadi Herlambang Setiadi Herlambang Setiadi Herlambang Setiadi Herlambang Setiadi Herlambang Setiadi Herlambang Setiadi Herlambang Setiadi Herman HR Herman HR Herman Nauwir Herman Nawir Herman Nawir Herman Nawir Herman Nawir, Herman Hidayat, Muh. Taufik Imam Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah, Hidayatul Himawari, Waseda HR, Herman HUTORO, KOKO I Nyoman Adi Putra Imam Robandi Imam, Muhammad Taufik Imron, Khafit Irsad, Muh. Afif Al Jamal, M Fachmi Kadir, Nasrun Kumala, Arimbi La Ode Musa Lastomo, Dwi Lewi Lewi Machrus Ali Machrus Ali Makmur Saini Marhatang Marhatang Maudini Maudini Muchyiddin, Muhammad Imam Muh Amar Syarifuddin Muh. Ikhra Aliefka Putramardani Muh. Ilham, Andi Muh. Yusril Hamma Muhammad Aldy Rezaldy Muhammad Azhar Muhammad Aziz Muslim Muhammad Kurniawan Muhammad Sulfajar Mas’ud Muhammad Thalib Muhammad Yunus Muhammad Yunus Muhammad Yunus Yunus, Muhammad Yunus Muhammad Yusuf Mappeasse Muhammad Yusuf Yunus Muhammad Yusuf Yunus Mukhtaram, Nurrafii Al MULKI, ABDUL MALIKIL Musthofa, Arif Mustika Ayu Nahlah, Nahlah Nasrun Kadir Nasrun Kadir Nasrun Kadir Natha, Kanidra Nooraini, Ervina Nur Hamzah Nur Hamzah Nurul Andini Palantei, Elyas Prakasa, Mohamad Almas Purnama, Rahma Rahmat Rahmat Rahmat Rahmat Rahmat Rahmat Rahmat Rahmat Ramadhani, Akhmad Remigius Tandioga Rony Seto Wibowo Rustang Rustang Saputra, Reki Aji Satria, Moch. Adri Serpian, Serpian Shiddiq Yunus, A.M Sianturi, Farhan Soedibyo Soedibyo Sonong Sula Cakra Buana, Arya Syam, Syahril Takdir, Ahmad Tangko, Jumadi Tasrif Tasrif Usman Usman Vita Lystianingrum Yanuar Mahfudz Safarudin Yudhi Leo Chandra Yusril Has Barlian Yusuf Yunus, Muhammad