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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Teknik Elektro Rekayasa Mesin Proceeding of the Electrical Engineering Computer Science and Informatics Sinergi Jurnal Teknologi Informasi dan Ilmu Komputer Proceeding of the Electrical Engineering Computer Science and Informatics JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan Elsains : Jurnal Elektro SENTIA 2016 SENTIA 2015 Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan JE-Unisla Jurnal Tecnoscienza Frontier Energy System and Power Engineering Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal JEETech Indonesian Journal of Engagement, Community Services, Empowerment and Development (IJECSED) JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Indonesian Collaboration Journal of Community Services (ICJCS) Prosiding Konferensi Nasional PKM-CSR ALINIER: Journal of Artificial Intelligence & Applications Jurnal FORTECH SinarFe7 Journal FORTEI-JEERI Jurnal Pengabdian Masyarakat Darul Ulum Nucleus Journal Sewagati
Machrus Ali
Universitas Darul Ulum
Religion Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Public Health Social Sciences Transportation Other

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Perancangan Perangkat Keras MPPT Metode Perturb and Observation Safarudin, Yanuar Mahfudz; Mariani, Dina; Hendrawati, Dwiana; Suwarti, Suwarti; Ali, Machrus; Nurrohmah, Hidayatul
Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan Vol 7 No 2 (2018): Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan
Publisher : Fakultas Teknik Universitas Maritim Raja Ali Haji

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (395.38 KB) | DOI: 10.31629/sustainable.v7i2.437

Abstract

This study discusses the use of perturb and observation algorithm in the application of maximum power point tracking. The algorithm is simulated and tested hardware in two shading conditions. The results show the similarity result of hardware testing and simulation.
Comparison of LFC Optimization on Micro-hydro using PID, CES, and SMES based Firefly Algorithm Kadaryono, Kadaryono; Rukslin, Rukslin; Ali, Machrus; Askan, Askan; Parwanti, Asnun; Cahyono, Iwan
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (448.144 KB) | DOI: 10.11591/eecsi.v5.1609

Abstract

Micro-hydro gets potential energy from water flow that has a certain height difference. Potential energy is strongly influenced by high water fall. Potential energy through pipes, incoming turbines converted into kinetic energy. The kinetic energy of the turbine coupled with the generator is converted into electrical energy. Some components used for micro-hydro power generation, among others; intake, settling basin, headrace, penstock, turbine, draft tube, generator, and control panel. Water flows through the pipe into the turbine house so it can rotate the turbine blades. Turbine rotation is used to rotate a generator at the micro hydro generator. The most common problem with micro-hydro generating systems is inconsistent generator rotation caused by changes in connected loads. Load changes can cause system frequency fluctuations and may cause damage to electrical equipment. Artificial Intelligence (AI) is used to obtain the right constants to obtain the best optimization. In this study compare the control method, namely; Proportional Integral Derivatives (PID), Capacitive Energy Storage (CES), and Superconducting Magnetic Energy Storage (SMES). This study also compared the method of artificial intelligence between Particle Swarm Optimization (PSO) method has been studied with the method of Firefly Algorithm (FA). Overall this study compares 11 methods, namely methods; uncontrolled, PID-PSO method, PID-FA method, CES-PSO method, CES-FA method, SMES-PSO method, SMES-FA method, PID-CES-PSO method, PID-CES-FA method, PID-SMES - PSO, and PID-SMES-FA method. The results of the simulation showed that from the 11 methods studied, it was found that the PID-CES-FA method has the smallest undershot value, ie -7.774e-03 pu, the smallest overshoot value, which is 4.482e-05 pu, and the fastest completion time is 7.11 s. These results indicate that the smallest frequency fluctuations are found in the PID-CES-FA controller. Thus it is stated that the PID-CES-FA method is the best method used in the previous method. This research will use other methods to get the best controller.
Optimasi Frekuensi Kontrol pada Sistem Hybrid Wind-Diesel Menggunakan PID Kontroler Berbasis ACO dan MFA Arrohman, Muhammad; Fajardika, Risky; Muhlasin, Muhlasin; Ali, Machrus
Rekayasa Mesin Vol 9, No 1 (2018)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (300.47 KB) | DOI: 10.21776/ub.jrm.2018.009.01.10

Abstract

The power of the generating system is strongly influenced by frequency changes. The wind generating system is strongly influenced by the magnitude and speed of the agin as input power. The wind-diesel combined generating system is required to obtain optimum power quality. The hybrid swarm system is a controlled network of some renewable energy generation such as: wind turbine, solar cell, micro hydro and so on. Not optimal setting gain and small constant time on Load Frequency Control (LFC), causing its ability to be weak (weak line). In practice, wind-diesel systems are controlled with PID controller. Setting the gain value of the PID is still in the conventional method, making it difficult to get the optimal value. In this research applied control design by using Intelligent Method in finding the optimum value of Proportional Intergral Derivative (PID) to adjust load frequency with Matlab / Simulink program. This research uses Ant Colony Optimization (ACO) and Modification Firefly Algorithm (MFA). For comparison methods are used without control method, conventional PID method and matlab auto tuning method. Wind-diesel modeling uses the transfer function of diagram of wind turbine and diesel. The study compared several uncontrolled methods and conventional PID, ACO, with FA and MFA. The results show that the smallest undershoot is PID-MFA Controller of -1.529.10-4 and the fastest settling time on the PID-ACO controller 11.5 seconds
Optimization of AVR in Micro-hydro Power Plant Using Differential Evolution (DE) Method Firmansyah, Rio; Ali, Machrus; Ajiatmo, Dwi; Raikhani, Agus; Siswanto, Makhaban
Frontier Energy System and Power Engineering Vol 2, No 1 (2020): JANUARY
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (320.28 KB) | DOI: 10.17977/um049v2i1p1-6

Abstract

Micro-hydro Power Plant had three primary components: water (as the energy resource), turbine, and generator. Water that flew in a specific capacity was channeled from a certain height to the installation house (turbine house). In the powerhouse, the water installation pounded the turbine that made the turbine received direct energy from the water and turn it into mechanical energy and caused the turbine shaft to spin. Changes in the loading could cause fluctuation in the system’s frequency and voltage. This problem could damage electrical equipment. Therefore, the Automatic Voltage Regulator (AVR) was used to control and stabilize the voltage. This research used PID controller to obtain the optimized control parameter in the Micro-hydro Power Plant. This research compared the simulations of without control method, with PID-ZN control method, and with PID-DE method to obtain the best control method. The comparison simulations showed that the best response in the micro-hydro plant and the AVR system was from the PID-DE controller. These results might be a reference for future research with other methods that might generate better results.   
Optimizing Single Axis Tracking for Bat Algorithm-based Solar Cell Ali, Machrus; Fahmi, Tubagus; Wida Khaidir, Delief; Nurohmah, Hidayatul; Budiman, Budiman
Frontier Energy System and Power Engineering Vol 2, No 2 (2020): JULY
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um049v2i2p1-5

Abstract

Adding the solar tracking control system was an attempt to increase the efficiency of solar panels. The solar tracking control system was a control system that follows the sun position. The purpose of this solar tracking system was to position the cross-section always to face the sun. The Single Axis system in solar tracking was intended to follow the sun’s angle or solar azimuth angle from the east to the west. There needed a control optimization to get the position as desired. Optimization often used artificial intelligence to obtain the automatic best optimization, such as Bat Algorithm (BA). This research compared several methods: without control, using PID control, using PID-Auto control, and using PID-BA control. The simulations showed that the smallest elevation angle deviation was found in PID-BA controller. In conclusion, PID-BA was the best controller in this research. This research could be used as a future reference with other controllers to get the most optimized controller.
Desain Pengaturan Governor Menggunakan Proportional Integral Derivative (PID) Pada Sistem Pembangkit Listrik Tenaga Mikro Hidro (PLTMH) Berbasis Particle Swarm Optimization (PSO) Kadaryono,; Machrus Ali; Muhlasin,; Budiman
Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Vol. 8 No. 1 (2017): April 2017
Publisher : FT- UNDAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48056/jintake.v7i2.122

Abstract

Indonesia sangat banyak akan kekayaan alam yang terkandung di dalamnya. Akan sangat disayangkan apabila potensi sungai yang besar ini dibiarkan tanpa ada inovasi untuk memanfaatkan potensi sungai ini agar bermanfaat bagi warga sekitar yang kebanyakan terdiri dari warga golongan ekonomi kelas menengah kebawah, mengingat juga tarif dasar listrik saat ini semakin naik. Permasalahan yang sering terjadi pada sistem pembangkit mikro hidro adalah terjadinya putaran tidak konstan generator yang disebabkan oleh perubahan beban yang tersambung. Sehingga menyebabkan terjadinya fluktuasi frekuensi pada sistem yang dapat mengakibatkan kerusakan peralatan listrik. Oleh karena itu dalam penelitian ini dibahas sebuah strategi pengendali frekuensi berbasis Proportional Integral Derivative (PID). PID merupakan alat kontrol yang dapat mengontrol frekuensi agar bisa stabil. Untuk mendapatkan parameter PID yang optimal pada sistem pembangkit mikro hidro ini digunakan metode Particle Swarm Optimization (PSO). Hasil simulasi menunjukkan bahwa penerapan PSO terhadap PID pada sistem pembangkit mikro hidro, dapat mempercepat settling time respon perubahan frekuensi dan juga memperbaiki overshoot respon frekuensi sistem.
Optimasi Kontroler Putaran Motor Permanent Magnet Syschronous Machine (PMSM) menggunakan PSO-ANFIS (Studi Kasus di Perumdam Tirta Kencana) Ibrahim, Muhammad; Ramadhan, Dannel; Rukslin, Rukslin; Ali, Machrus; Muhlasin, Muhlasin
Elsains : Jurnal Elektro Vol 2 No 2 (2020): Elsains : Jurnal Elektro
Publisher : Program Studi Teknik Elektro, Fakultas Teknik, Universitas 17 Agustus 1945 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30996/elsains.v2i2.4770

Abstract

PMSM menggunakan prinsip percobaan faraday dengan memutar magnet dalam koil dengan memanfaatkan sumber energi lain. Ketika magnet bergerak dalam koil atau sebaliknya. Rotasi mesin akan mengubah fluks gaya magnet pada kumparan dan menembus secara tegak lurus ke kumparan sehingga timbul perbedaan potensial antara ujung-ujung kumparan. Itu disebabkan oleh perubahan fluks magnet. Untuk mendapatkan metode kontrol terbaik, diperlukan beberapa model kontrol kecepatan. Dalam penelitian ini membandingkan kontrol kecepatan PMSM tanpa pengontrol, PID Kontrol, PID-PSO, dan hibrid PID-PSO-ANFIS. Hasil simulasi menunjukkan bahwa model terbaik pada pengontrol PID-PSO-ANFIS yang paling dekat dengan Speed Reff (2980 rpm) adalah bahwa ANFIS memperoleh profil rotasi dengan undershot terkecil, kondisi mantap tercepat, profil arus keluaran terbaik, profil torsi terbaik , dan profil tegangan terbaik. Hasil penelitian ini akan diikuti oleh penggunaan kecerdasan buatan lainnya
The comparison of dual axis photovoltaic tracking system using artificial intelligence techniques Machrus Ali; Aji Akbar Firdaus; Hamzah Arof; Hidayatul Nurohmah; Hadi Suyono; Dimas Fajar Uman Putra; Muhammad Aziz Muslim
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 10, No 4: December 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v10.i4.pp901-909

Abstract

In this paper, the efficiency of photovoltaic panels is improved by adding a sun tracking system. The solar tracking system is used for tracking the sun so that photovoltaic always faces the sun. This system uses a dual axis consisting of horizontal rotation axis and a vertical rotation axis. The horizontal rotational axis motion is to follow the azimuth angle of the sun from north to south. Then, to follow the sun's azimuth angle from east to west is the vertical axis motion. Both types of movements are controlled using a PID controller that is optimized with an artificial intelligence approach, namely particle swarm optimization (PID-PSO), firefly algorithm (PID-FA), imperialist competitive algorithm (PID-ICA), bat algorithm (PID-BA), and ant colony optimization (PID-ACO). Experiments of various approaches were carried out and the corresponding performance compared. The experimental results show that PID-BA performs best in terms of settling time and overshoot. The results also allow the comparison of different PID controller and the calculation of the fastest completion time.
Modifikasi Desain PID Controller Pada Permanent Magnet Synchronous Motor Dengan Flower Pollination Algorithm Muhammad Ruswandi Djalal; Machrus Ali; Andi Imran; Herlambang Setiadi
Jurnal Teknik Elektro Vol 6, No 2 (2017): Jurnal Teknik Elektro
Publisher : Situs resmi ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The use of PID (Proportional-Integral-Derivative) controllers on a synchronous motor is very widely used, because of its simple, robust structure that is robust and easy to use. The use of PID controllers requires proper parameter setting for optimal performance on the motor. The most commonly used solution is the trial-error method, to determine the proper parameters for PID, but the results do not make the PID controller optimal. Lately there has been a lot of research to optimize PID controller, wrong with smart method. For this purpose, we will use Flower Pollination Algorithm (FPA) optimization method to optimize and determine the exact parameters of PID. FPA is one method that is being adapted from the process of plant pollination, so this concept is adapted and applied to be. From the results that have the FPA method can be well tuned parameters PID, so that the resulting overshoot faster and settling time is very fast. Optimization results Kp 0.9441, Ki 0.9311, Kd 0.0840. In this study will discuss uncontrolled motors, with PID trial-error controller, PID-PSO and PID-FPA.Keywords: Sync motor, PID, Trial-Error, PSO, FPA, Overshoot, Settling time
Comparison of LFC Optimization on Micro-hydro using PID, CES, and SMES based Firefly Algorithm Kadaryono Kadaryono; Rukslin Rukslin; Machrus Ali; Askan Askan; Asnun Parwanti; Iwan Cahyono
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (448.144 KB) | DOI: 10.11591/eecsi.v5.1609

Abstract

Micro-hydro gets potential energy from water flow that has a certain height difference. Potential energy is strongly influenced by high water fall. Potential energy through pipes, incoming turbines converted into kinetic energy. The kinetic energy of the turbine coupled with the generator is converted into electrical energy. Some components used for micro-hydro power generation, among others; intake, settling basin, headrace, penstock, turbine, draft tube, generator, and control panel. Water flows through the pipe into the turbine house so it can rotate the turbine blades. Turbine rotation is used to rotate a generator at the micro hydro generator. The most common problem with micro-hydro generating systems is inconsistent generator rotation caused by changes in connected loads. Load changes can cause system frequency fluctuations and may cause damage to electrical equipment. Artificial Intelligence (AI) is used to obtain the right constants to obtain the best optimization. In this study compare the control method, namely; Proportional Integral Derivatives (PID), Capacitive Energy Storage (CES), and Superconducting Magnetic Energy Storage (SMES). This study also compared the method of artificial intelligence between Particle Swarm Optimization (PSO) method has been studied with the method of Firefly Algorithm (FA). Overall this study compares 11 methods, namely methods; uncontrolled, PID-PSO method, PID-FA method, CES-PSO method, CES-FA method, SMES-PSO method, SMES-FA method, PID-CES-PSO method, PID-CES-FA method, PID-SMES - PSO, and PID-SMES-FA method. The results of the simulation showed that from the 11 methods studied, it was found that the PID-CES-FA method has the smallest undershot value, ie -7.774e-03 pu, the smallest overshoot value, which is 4.482e-05 pu, and the fastest completion time is 7.11 s. These results indicate that the smallest frequency fluctuations are found in the PID-CES-FA controller. Thus it is stated that the PID-CES-FA method is the best method used in the previous method. This research will use other methods to get the best controller.
Co-Authors A.A. Ketut Agung Cahyawan W A.N. Afandi Achmad Zaini Achmad. Zaini Agus Raikhani Agus Raikhani Agus Raikhani Agus Raikhani Agus Raikhani Agus Raikhani Agus Raikhani, Agus Ahmad Ali Syaifudin Ahmad Fajar Rohmatullah Ahmad Fathurrobbani Ahmad Fauzi Ridhwan Ahmad Fauzi Ridhwan Aji Akbar Firdaus Amir Maliki Abitolkha Andi Imran Angga Yodhas Tangkara Arga Prabowo Ardi Junianto Ardiyan Abi Winata Ardiyan Abi Winata Ari Octaviyan Arif Rahman Sujatmika Arrohman, Muhammad Askan Askan Askan Askan Askan Askan Askan, Askan Aslichah Asnun Parwanti Asnun Parwati Avi Maida W Budiman Budiman Budiman Budiman Budiman Budiman Budiman Budiman Budiman Budiman Budiman Cahyono, Iwan Choiruddin Choiruddin Cholil Hasyim Dandy Tulus Herlambang Dannel Ramadhan Delief Wida Khaidir Dimas Fajar Uman Putra Dina Mariani Dwi Ajiatmo Dwi Ajiatmo Dwi Ajiatmo Dwi Ajiatmo Dwi Ajiatmo Dwiana Hendrawati Enggal Indra Gunawan Fachrudin Hunaini Fahmi, Tubagus Fajardika, Risky Farrel Candra W.A Febrian Rizal Anas Firda Amalia Hadi Suyono Hadi Suyono Hamzah Arof Hari Sufitrihansyah Hari Sufitrihansyah Hendi Sopian Hendi Sopian Hendro Dripoyono Hendro Dripoyono Herlambang Setiadi Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah, Hidayatul Hofman Darmawan Ilham Anshoruddin Imam Robandi Iwan Cahyono Izzatul Umami Izzatul Umami Kadaryono Kadaryono Kadaryono Kadaryono Kadaryono Kadaryono, Kadaryono, Kadaryono Kholish Fadlili Kholish Ghoutsul Fadlili Lantip Trisunarno Luqman Hakim Luqman Hakim M Agil Haikal M Ibrahim M Ibrahim M. Ibnu Masrur M. Ibnu Masrur M. Teguh Proyoga Markhaban Siswanto Maulana Dwi Hariska Mei Indrawati Miftachul Jannah Firdaus Miftachul Jannah Firdaus Miftachul Ulum Miftahul Djanah Mochamad Ali Rofiq Mochamad Ali Rofiq Mochamad Piono Mulyo Mochammad Heru Widodo Mochammad Nur Masrukhan Mohammad Hasib Al Isbilly Mohammad Mohammad Mualifi Usman Muh Alfian Affandi Muh Alfian Affandi Muhammad Ade Yusuf Alghifrani Muhammad Amirul Wahid Muhammad Aziz Muslim Muhammad Aziz Muslim Muhammad Ibrahim Muhammad Nur Hidayat Muhammad Ruswandi Djalal Muhlasin Muhlasin Muhlasin Muhlasin Muhlasin Muhlasin Muhlasin Muhlasin Muhlasin Muhlasin, Muhlasin, Muhlasin Nasrul Fatkhur Nasrul Fatkhur Nieke Rudyanty Winanda Novi Nur S Nur Salam Nurrohmah, Hidayatul Ramadhan, Dannel Rio Firmansyah Rio Firmansyah, Rio Rizqi Nafiardli Rizqi Nafiardli Rukhslin Rukmi Budirahaju Rukslin Rukslin Rukslin Rukslin Rukslin Rukslin Rukslin Rukslin Rusklin Ruslan Hidayat Ruslan Hidayat Ruslan Hidayat Ruslan Hidayat Saiful Arfaah Saiful Arfaah Sayekti Suindyah D Septa Dwi Candra Septa Dwi Candra Setiawan Setiawan Setiawan Shofwatal Qolbiyyah Siswanto, Makhaban Soedibyo Soedibyo Sunarti Syamsiyah Yuli Dwi Andari Titis Amujiati Triana Tubagus Fahmi Ulum, Miftachul Venda Kusuma Apsari Wardatul Mufidah Wida Khaidir, Delief Wiky Krisdianto Wiky Krisdianto Yanuangga Gala Hartlambang Yanuangga Gala Hartlambang Yanuar Mahfudz Safarudin Yoga Arie Pambayun Yoga Arie Pambayun