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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
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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.
Penalaan PSS pada Sistem Generator Tenaga Menggunakan Algoritma Penyerbukan Bunga Muhammad Ruswandi Djalal; Sonong Sonong
Jurnal Teknologi dan Sistem Komputer Volume 6, Issue 3, Year 2018 (July 2018)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (301.021 KB) | DOI: 10.14710/jtsiskom.6.3.2018.93-99

Abstract

This research proposed a tuning method of power system stabilizer (PSS) using an intelligent method based on flower pollination algorithm (FPA) on Pajalesang generator located in Soppeng district. The observed result is the deviation response of velocity and rotor angle in case of disturbance. The case study used as the disturbance to this generator system is a load addition of 0.05 pu. The results show that velocity deviation response without PSS is 0.01152 pu to -0.0248 pu, using PSS trial is 0.007014 pu to -0.02174 pu, using PSS bat algorithm is 0.003972 pu to -0.01865 pu, and using the proposed method of PSS flower algorithm is 0.002149 pu to -0.01678 pu. The rotor angle response shows better results with reduced oscillation and rapidly leading to the steady-state condition. The performance of Pajalesang diesel power plant increased with the installation of FPA PSS, with parameters respectively Kpss=8.5956, T1= 0.0247, T2=0.2484, T3=0.4776, and T4=0.8827.
Sistem Kontrol Frekuensi Optimal Pada Pembangkit Hibrid Wind-Diesel Dengan Imperialist Competitive Algorithm Muhammad Ruswandi Djalal; Andi Imran; Herlambang Setiadi
Jurnal Teknologi dan Sistem Komputer Volume 5, Issue 4, Year 2017 (October 2017)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (666.468 KB) | DOI: 10.14710/jtsiskom.5.4.2017.135-141

Abstract

Frequency load arrangement on wind-diesel hybrid power plants (PLTH) becomes a very important thing in order to support the performance of the plant. One method of setting the load frequency is to use additional controllers such as Proportional Integral Derivative (PID). The use of PID also has its own problems, such as adjusting the value of unoptimal gain. In practice the PID gain is observed by trial-error, making it difficult to obtain the optimal value of the PID. In this research, we proposed an intelligent method of Imperialist Competitive Algorithm (ICA) in finding the optimal value of PID. The ICA is a smart method inspired by the competition in power struggles. ICA works based on the objective function, which minimizes Integral Time Absolute Error (ITAE). From the results of ICA optimization obtained value Kp = 63.1087, Ki = 43.2682, Kd = 9.6038. Response system, among others, for the settling time of 5.8 and overshoot of -9.098e-05 to 1.111e-09 pu which is the smallest settling time and overshoot value.
DESAIN OPTIMAL KONTROLER PID MOTOR DC MENGGUNAKAN CUCKOO SEARCH ALGORITHM Muhammad Ruswandi Djalal; Dwi Ajiatmo; Andi Imran; Imam Robandi
SENTIA 2015 Vol 7, No 1 (2015)
Publisher : SENTIA 2015

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (556.362 KB)

Abstract

Penggunaan kontroler PID (Proporsional-Integral-Derivatif) pada sebuah motor DC sangat banyak digunakan, karena  strukturnya  yang  sederhana,  keandalan  yang  kuat  dan  mudah  digunakan.  Akan  tetapi,  penggunaan kontroler PID dibutuhkan pengaturan parameter yang tepat untuk mendapatkan kinerja yang optimal pada motor. Umumnya yang sering digunakan adalah metode trial-error, untuk menentukan parameter yang tepat untuk PID, namun hasil yang didapat tidak membuat kontroler PID optimal. Belakangan ini sudah banyak penelitian untuk mengoptimasi kontroler PID, salah satunya dengan metode cerdas. Untuk itu pada penelitian ini akan digunakan metode cerdas berbasis Cuckoo Search Algorithm (CSA), untukmengoptimasidan menentukan parameter yang tepat dari PID. CSA adalah salah satu metode cerdas yang terinspirasi dari perilaku burung cuckoo dalam menempatkan telurnya disarang burung lain yang dia pilih secara acak, konsep inilah yang diadaptasi dan diterapkan menjadi algoritma cerdas untuk menyelesaikan masalah optimasi. Dari hasil yang diperoleh metode CSA dapat dengan baik menala parameter PID, sehingga overshoot yang dihasilkan tidak ada dan settling time sangat cepat. Pada penelitian ini juga akan dibahas dan dibandingkan kontroler tanpa PID, dengan PID trial-error dan dengan PID CSA.
FREQUENCY CONTROL PLTMH DENGAN CAPACITIVE ENERGY STORAGE MENGGUNAKAN CUCKOO SEARCH ALGORITHM Muhammad Ruswandi Djalal; Dwi Ajiatmo; Soedibyo Soedibyo; Imam Robandi
SENTIA 2015 Vol 7, No 1 (2015)
Publisher : SENTIA 2015

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (686.493 KB)

Abstract

Pemanfaatan PLTMHsemakin banyak digunakan untuk kebutuhan listrik di daerah terpencil, karena memiliki kelebihan ekonomis, teknis, dan segi ramah lingkungan. PLTMH sangat cocok untuk digunakan pada daerah yang  sulit dijangkau listrik  PLN.  Pada  PLTMH,  permasalahan  yang  sering terjadi adalah putaran yang tidakkonstanterhadap generator yang disebabkan oleh perubahan beban dari konsumen. Sehingga menyebabkan terjadinya perubahan  fluktuasi frekuensi pada sistem  yang  dapat mengakibatkan kerusakan baik  dari  sisi pembangkit maupun dari sisi peralatan listrik konsumen. Untuk menunjang kinerja optimal pembangkit listrik tenaga mikrohidro (PLTMH), dibutuhkan sebuah desain teknologi pengendali yang tepat. Oleh karena itu dalam penelitian ini akan dibahas sebuah strategi pengendali frekuensi berbasis Capasitive Energy Storage (CES) dan PID. CES merupakan peralatan yang dapat menyimpan energy dengan cepat dalam bentuk medan listrik pada kapasitor. Untuk mendapatkan kinerja yang optimal, diperlukan penalaan yang tepat untuk parameter CES-PID. Untuk mendapatkan parameter CES-PID yang optimal pada PLTMH ini digunakan metode kecerdasan buatan Cuckoo Search Algorithm (CSA). Hasil simulasi menunjukkan bahwa penerapan CSA terhadap menala parameter CES-PID pada PLTMH, dapat mempercepat settling time respon perubahan frekuensi dan juga memperbaiki overshoot respon frekuensi sistem.
OPTIMISASI KONTROL PID UNTUK MOTOR DC MAGNET PERMANEN MENGGUNAKAN PARTICLE SWARM OPTIMIZATION Muhammad Ruswandi Djalal; Rahmat Rahmat
Jurnal TAM (Technology Acceptance Model) Vol 8, No 2 (2017): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (305.88 KB)

Abstract

To maximize the performance of DC motors, the proper use of the controller is crucial. Design of Proportional Integral Derivative (PID) controller on dc motor has been done frequently. The use of PID controllers requires proper parameter setting to achieve optimal performance on the motor. Commonly used is the trial-error method, to determine the parameters of the PID controller, but the results obtained do not make the PID controller optimal and will actually damage the system. Therefore, in this research we will propose one of PID parameter tuning method, that is by using Particle Swarm Optimization (PSO), to optimize and determine the proper parameters of PID. PSO is one of the smart methods inspired by the behavior of particles that search for food sources in groups, this concept is adapted and applied into intelligent algorithms to solve optimization problems. From the results obtained the PSO method can well tune the parameters of PID, where for Kp 57.2409, ki = 23.7090, and kd = 9.3575. Response speed after PID receiver, resulting overshoot does not exist and settling time is very fast.
ANT COLONY BASED PID TUNED PARAMETERS FOR CONTROLLING SYNCHRONOUS MOTOR Muhammad Ruswandi Djalal; Faisal Faisal
Jurnal TAM (Technology Acceptance Model) Vol 10, No 1 (2019): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (255.156 KB)

Abstract

Pengaturan kecepatan pada motor sinkron menjadi permasalahan pada sebuah operasi motor sinkron. Salah satu metode pengaturan kecepatan motor adalah dengan penambahan kontroler PID. Parameter PID harus dituning dengan baik untuk mendapatkan kecepatan optimal. Salah satu metode penalaan dengan menggunakan metode cerdas berbasis koloni semut. Algoritma Ant Coloni pada prinsipnya mencari sumber makanan berdasarkan jejak feromone yang kemudian secara berkelompok akan mengikuti jejak yang memiliki feromone yang terbesar. Dengan prinsip ini algoritma akan mencari parameter yang paling optimal untuk diisikan pada parameter PID, sehingga didapatkan kendali optimal pada kecepatan Motor sinkron. Hasil optimasi ant colony didapatkan nilai fitness function sebesar 1.8833e+04, dengan 50 kali iterasi yang konvergen pada iterasi ke-10, dan parameter nilai PID yang optimal di mana, parameter P (Proportional) sebesar 0.7431, I (Integral) sebesar 0.3510, dan D (Derivative) sebesar 0.1385. Dengan beberapa case kecepatan pada Motor sinkron, dengan kendali PID Ant Colony didapatkan kinerja system optimal dengan overshoot yang minimum dan settling yang cepat.
Metode Particle Swarm Optimization Untuk Mengontrol Frekuensi Pada Hibrid Wind-Diesel Muhammad Ruswandi Djalal; Machrus Ali
Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Vol. 7 No. 2 (2016): Oktober 2016
Publisher : FT- UNDAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48056/jintake.v7i2.18

Abstract

Fluktuasi frekuensi pada pembangkit terbarukan sangat mempengaruhi kualitas daya dalam hal ini turbin angin yang dihibrid dengan diesel. Sistem pembangkit listrik hibrid adalah jaringan terkontrol dari beberapa pembangkit tenaga energi terbaharukan seperti : turbin angin, sel surya, mikrohidro dan sebagainya. Permasalahan tidak optimalnya setting gain dan kecilnya waktu konstan pada Automatic Voltage Regulator, Terlalu banyak jaringan transmisi yang panjang sehingga kemampuan lemah (weak line). Dalam penerapannya sistem wind-diesel dikontrol dengan kontroler PID, penyetelan nilai gain dari PID masih dalam metode konvensional saja, sehingga sulit untuk mendapatkan nilai optimal. Dalam penelitian ini diterapkan desain kontrol dengan menggunakan Metode Cerdas dalam mencari nilai optimum Proporsional Intergral Derivatif (PID) untuk mengatur frekuensi beban dengan program Matlab/ Simulink. Pemodelan wind-diesel menggunakan fungsi transfer dari diagram turbin angin dan diesel. Respon sistem dengan Simulink/ Matlab dengan membandingkan dengan sistem tak terkontrol dan dengan metode PID-Trial Error, menunjukkan bahwa besar overshoot dan respon keadaan mantap (Settling Time) pada sistem terkontrol PSO menjadi berkurang dan lebih cepat.
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