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All Journal International Journal of Electrical and Computer Engineering Mechatronics, Electrical Power, and Vehicular Technology Bulletin of Electrical Engineering and Informatics Jurnal Teknik Elektro EMITTER International Journal of Engineering Technology International Journal of Smart Grid and Sustainable Energy Technologies KACANEGARA Jurnal Pengabdian pada Masyarakat INTEK: Jurnal Penelitian Journal of Robotics and Control (JRC) Indonesian Journal of Electrical Engineering and Computer Science Makara Journal of Technology JESCEE- Journal of Emerging Supply Chain, Clean Energy, and Process Engineering
Herlambang Setiadi
The University Of Queensland
Aerospace Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Journal : Bulletin of Electrical Engineering and Informatics

 1 
Autonomous and smart cleaning mobile robot system to improve the maintenance efficiency of solar photovoltaic array Megantoro, Prisma; Abror, Abdul; Syahbani, Muhammad Akbar; Anugrah, Antik Widi; Perkasa, Sigit Dani; Setiadi, Herlambang; Awalin, Lilik Jamilatul; Vigneshwaran, Pandi
Bulletin of Electrical Engineering and Informatics Vol 12, No 6: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i6.5950

Abstract

A solar photovoltaic (PV) array is part of a PV power plant as a generation unit. PV array that are usually placed on top of buildings or the ground will be very susceptible to dirt and dust. Thus, this dirt and dust will be able to reduce the performance and work efficiency of the generation unit. Cleaning PV arrays by manpower requires high effort, cost, and risk, especially in higher location. This study presents the design of a mobile robot that is used to replace human labor to clean PV arrays. That way, the PV array maintenance steps can reduce operational costs and risks. This intelligent controlled mobile robot can maneuver safely and efficiently over PV arrays. gyroscope and proximity sensors are used to detect and follow the sweep path over the entire PV array area. Proportional integral derivative (PID) control test makes the robot can stabilize in about 5.72 seconds to keep on the track. The smart PV cleaning robot has average operation time about 13 minutes in autonomous mode and 20-24 minutes in manual mode. The operation of the robot is effective to give more efficiency on the use of energy, time, and maintenance costs of PV array system.
Enhancement of frequency transient response using fuzzy-PID controller considering high penetration of doubly fed induction generators Abdillah, Muhammad; Solehan, Alfi; Pertiwi, Nita Indriani; Setiadi, Herlambang; Jasmine, Senit Araminta; Afif, Yusrizal; Delfianti, Rezi
Bulletin of Electrical Engineering and Informatics Vol 13, No 4: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i4.6481

Abstract

In modern power systems, renewable-based power plant such as wind power system is integrated significantly. Among numerous types of wind power systems doubly fed induction generators (DFIG) is becoming favorable in the last few years. However, adding a wind power plant could give a new challenge to the power system, especially in frequency stability. Hence, it is important to control the frequency of the power system to be able to find its initial condition in every condition. Generally, the frequency of the power system can be controlled by using automatic generation control (AGC). AGC is used to maintain the balance between generating capacity and the load by adding integral control to the governor. However, with more and more wind power systems in the grid conventional AGC is unsuitable. Hence, it is important to have an advanced AGC based on the artificial intelligence method. This paper proposed the application of fuzzy-proportional integrator derivative (fuzzy-PID) for AGC in power systems considering the high penetration of wind power systems. From the simulation results, it is found that the proposed method can reduce the overshoot and accelerate the settling time of frequency better than using conventional AGC.
Design type-2 fuzzy for superconducting magnetic energy storage to enhance frequency transient response Abdillah, Muhammad; Bagus Laksono, Arie; Indriani Pertiwi, Nita; Aryo Nugroho, Teguh; Setiadi, Herlambang; Araminta Jasmine, Senit; Evanda Putra, Naufal
Bulletin of Electrical Engineering and Informatics Vol 14, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i1.6654

Abstract

Renewable energy has become a new trend in power systems. Renewable-based power plants such as wind power systems and photovoltaics. This paper proposed a novel method for inertia emulation based on superconducting magnetic energy storage (SMES). To get better inertia support for the system, a type-2 fuzzy controller is used as the SMES controller. An area power system is used as the test system to investigate the performance of type-2 fuzzy controller on SMES. Time domain simulation is carried out to show the efficacy of the proposed method. From the simulation results, it is found that the proposed controller can reduce the overshoot of frequency by up to 20% compared to the type-1 fuzzy controller. It is also hoped that the proposed method can be used as a reference of the Industrial people.
Smart virtual rotor for frequency stability enhancement considering inverter-based renewable energy sources Setiadi, Herlambang; Nuris Syifa, Baity; Abdillah, Muhammad; Afif, Yusrizal
Bulletin of Electrical Engineering and Informatics Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i5.9648

Abstract

This paper proposes a novel smart virtual rotor controller (VRC) that combines the Bat Algorithm (BA) with extreme learning machine (ELM) to enhance frequency stability in power systems. To reflect the impact of renewable integration, inverter-based power plants are incorporated to simulate high levels of penetration from power-electronics-based generation. The proposed method first tunes the virtual rotor parameters (virtual inertia and damping control) using BA under varying operating conditions. These parameters are then trained with ELM to enable adaptive control across different scenarios. Time-domain simulations demonstrate that the proposed approach outperforms existing methods in terms of frequency nadir and settling time, while also achieving a significant reduction in execution time, requiring only 0.0033 seconds.
Adaptive voltage controller based on extreme learning machine for DC-DC boost converter Setiadi, Herlambang; Darmansyah, Darmansyah; Uji Krismanto, Awan; Yusuf Abdillah, Sulthon
Bulletin of Electrical Engineering and Informatics Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i5.9647

Abstract

This study presents an adaptive voltage controller for a DC-DC boost converter using the extreme learning machine (ELM) algorithm to address the limitations of conventional control techniques under varying load and reference voltage conditions. The ELM is implemented to predict the optimal parameters of a PI controller (Kp and Ki), enabling real-time adaptability of the system. Simulation results in MATLAB/Simulink demonstrate that the proposed ELM-based proportional-integral controller (PI-ELM) outperforms both traditional PI controllers and those optimized using metaheuristic algorithms. Specifically, the controller achieved a maximum absolute error of only 0.0185 for Kp and 0.0294 for Ki across a range of operating conditions, with corresponding mean squared errors (MSE) of 0.01861 and 0.02798, respectively. These findings confirm the effectiveness of the ELM in enhancing the dynamic response and robustness of boost converter voltage regulation systems.
Influence of installing a virtual synchronous generator control on Lombok Island power grid with high penetration of PV plants Setiadi, Herlambang; Mithulananthan, Nadarajah; Nuris Syifa, Baity; Ricky Ananda, Yoshiko; Cahya Anugrah Haebibi, Riski; Afif, Yusrizal
Bulletin of Electrical Engineering and Informatics Vol 14, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i6.9733

Abstract

Indonesia is a country with several islands, and providing clean energy in islanded power systems connected to a single main grid would be economy challenging. On the other hand, absence of inertia, system strength, and damping value in islanded power systems due to inverter interfaced renewable energy (RE) resources can cause significant decline of power system stability. The primary concern with integrating large scale photovoltaic (PV) power plant in an islanded power system is maintaining frequency and voltage stability. This research investigates the application of virtual synchronous generator (VSG) in Lombok’s Islanded power system, considering high penetration of PV. A thorough time domain simulation is performed with a detailed modelling of power system in Lombok Island to study the dynamic voltage and frequency stability. The simulation results show that the VSG improves both frequency and voltage stability in transient and steady state stages, ensuring smoother operation and faster stabilization time. It is found that the frequency deviation can be curtail up to 0.5% and the steady state can be increased up to 0.1%.
Co-Authors Abraham Lomi Abror, Abdul Adi Soeprijanto Andi Imran Anugrah, Antik Widi Araminta Jasmine, Senit Arif Abdul Aziz Arjadi, R Harry Awalin, Lilik Jamilatul Awan Uji Krismanto Bagus Laksono, Arie Bangga, Galih Cahya Anugrah Haebibi, Riski Chairunnisa, Chairunnisa DARMANSYAH . Dwi Lastomo, Dwi Eddy Setyo Koenhardono, Eddy Setyo Evanda Putra, Naufal Faisal, Muhammad Fauzan, Helmi Fitrian, Ansya Hendranata, Yongki Herri Trilaksana Hutomo, Peter Go Imam Wahyudi Farid Indriani Pertiwi, Nita Jasmine, Senit Araminta Jayadiharja, Tirta Jones, Karl O. Lastomo, Dwi Mahmoud, Karar Mithulananthan, Nadarajah Muhammad Abdillah Muhammad Abdillah Muhammad Davi Labib, Radimas Putra Muhammad Ruswandi Djalal Muhammad Yunus Muhammad Yusuf Yunus Musthofa, Arif Nita Indriani Pertiwi Nugroho, Teguh Aryo Nuris Syifa, Baity Perkasa, Sigit Dani Pertiwi, Nita Indriani Pratama, Dhika Wahyu Prisma Megantoro Putra, Louis Ramon Zamora, Ramon Reihara, Adelhard Beni Rezi Delfianti Ricky Ananda, Yoshiko Sabila, Ahmad Septian, M Rivaldi Ali Solehan, Alfi Stefanus, Kristiadi Syahbani, Muhammad Akbar Tahta Amrillah Taurista Perdana Syawitri, Taurista Perdana Teguh Aryo Nugroho, Teguh Vigneshwaran, Pandi Wahyudi, Muhammad Zidane Widodo, Widodo Yusrizal Afif, Yusrizal Yusuf Abdillah, Sulthon