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All Journal Mechatronics, Electrical Power, and Vehicular Technology Jurnal Teknik Elektro EMITTER International Journal of Engineering Technology International Journal of Smart Grid and Sustainable Energy Technologies Journal of Robotics and Control (JRC) Makara Journal of Technology

Herlambang Setiadi

The University Of Queensland

Author-ID : 376472

Aerospace Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Mechanical Engineering

Published : 8 Documents Claim Missing Document

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Articles

Capacitive Energy Storage (CES) Optimization For Load Frequency Control in Micro Hydro Power Plant Using Imperialist Competitive Algorithm (ICA) Djalal, Muhammad Ruswandi; Yunus, Muhammad; Imran, Andi; Setiadi, Herlambang
EMITTER International Journal of Engineering Technology Vol 5, No 2 (2017)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

This research will discuss a strategy of frequency control at micro hydro power plant using Capacitive Energy Storage (CES). CES is a device that can store and release energy quickly. To optimize CES performance, proper tuning is required to optimize CES performance. To obtain optimal CES parameter on micro hydro, artificial intelligence method based on Imperialist Competitive Algorithm (ICA) is used. Proportional Integral Derivative Controller (PID) is still a controller that can not be separated from the system, therefore in this research will be combined with CES as the main controller for frequency control on micro hydro. The simulation results show that the application of ICA in optimizing PID-CES parameters, can well improve micro hydro performance. The control models discussed in this research are Proportional Controller (P), Proportional Integral Controller (PI), Proportional Derivative Controller (PD), PID Controller, CES Controller and PID-CES Controller. From the simulation results obtained, P controller overshoot of -0.0001254, with PI Controller -0.000125, with PD Controller -0.0001252, with PID controller -0.0001249, with CES controller -0.0001224, and with PID-CES -1.371e-05. From the results of some of the controller models, it can be concluded that the PID-CES controller proposed in this study has a very significant effect to reduce the frequency oscillation in micro hydro, and it is very suitable to be applied for frequency control at micro hydro.

Intelligent Load Frequency Control considering Large Scale Photovoltaic Generation Uji Krismanto, Awan; Setiadi, Herlambang
International Journal of Smart Grid and Sustainable Energy Technologies Vol 2 No 1 (2018): IJSGSET TRANSACTIONS ON POWER, ELECTRONICS, TELECOMMUNICATION, AND CONTROL
Publisher : Department of Electrical Engineering, National Institute of Technology Malang - INDONESIA

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Large-scale renewable energy integration involving large scale PV plant is becoming popular in the last decade due to global warming and climate change. PV plant offers clean and environmentally friendly electricity. However, PV plant also provides unwanted impact in term of frequency stability. Hence appropriate, load frequency control due to the integration of PV plant is inevitable. This paper proposed an intelligent approach based on a differential evolutional algorithm (DEA) to optimize the control parameters of load frequency control (LFC) device. Time domain simulation was carried out to analyses, the frequency nadir of the system. The simulation results suggested that a significant enhancement of system dynamic behavior was monitored when the control parameters of LFC were optimized using the proposed DEA. Moreover, the proposed algorithm provided a promising result to improve system dynamic response in the system with high penetration of PV power plant.

Desain Sistem Kontrol Pitch Angle Wind Turbine Horizontal Axis Menggunakan Firefly Algorithm Djalal, Muhammad Ruswandi; Imran, Andi; Setiadi, Herlambang
Jurnal Teknik Elektro Vol 9, No 1 (2017): Jurnal Teknik Elektro
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v9i1.9710

Abstrak - Pitch variable-speed wind turbine telah berkembang pesat dalam beberapa tahun terakhir. Ada dua strategi kontrol untuk mengontrol variable kecepatan pada wind turbine. Saat kecepatan angin rendah di bawah nilai rata-rata, pengatur kecepatan harus dapat mengatur kecepatan rotor secara terus-menerus untuk mempertahankan kecepatan pada sebuah level, yang memberikan koefisien daya maksimum, sehingga efisiensi turbin akan meningkat. Pengaturan pitch angle diperlukan dalam kondisi kecepatan angin diatas yang diinginkan. Perubahan kecil pada pitch angle dapat mempengaruhi output daya. Pitch angle control adalah salah satu cara untuk menyesuaikan torsi aerodinamik pada tubin angin saat kecepatan angin berada diatas nilai kecepatan dan beberapa variable control lainnya, seperti kecepatan angin, kecepatan generator, dan daya generator. Dalam makalah ini akan akan dirancang variable control untuk memaksimalkan energi dari turbin angin. Perancangan variable control ini menggunakan PID controller. PID controller (Proporsional Integrator Diferensial) merupakan sebuah alat untuk mengontrol sebuah sistem, PID controller ini digunakan untuk mengontrol Permanent Magnet Synchronous Generator (PMSG). Hasil penelitian menunjukkan bahwa menggunakan PID controller lebih stabil dan daya output lebih optimal.Keyword â€“ turbin angin, pitch angle control,Â PID Controller

Optimal selection of LQR parameter using AIS for LFC in a multi-area power system Abdillah, Muhammad; Setiadi, Herlambang; Reihara, Adelhard Beni; Mahmoud, Karar; Farid, Imam Wahyudi; Soeprijanto, Adi
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 7, No 2 (2016)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

This paper proposes a method to optimize the parameter of the linear quadratic regulator (LQR) using artificial immune system (AIS) via clonal selection. The parameters of LQR utilized in this paper are the weighting matrices Q and R. The optimal LQR control for load frequency control (LFC) is installed on each area as a decentralized control scheme. The aim of this control design is to improve the dynamic performance of LFC automatically when unexpected load change occurred on power system network. The change of load demands 0.01 p.u used as a disturbance is applied to LFC in Area 1. The proposed method guarantees the stability of the overall closed-loop system. The simulation result shows that the proposed method can reduce the overshoot of the system and compress the time response to steady-state which is better compared to trial error method (TEM) and without optimal LQR control.

Frequency stability improvement of micro hydro power system using hybrid SMES and CES based on Cuckoo search algorithm Djalal, Muhammad Ruswandi; Setiadi, Herlambang; Imran, Andi
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 8, No 2 (2017)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Micro hydro has been chosen because it has advantages both economically, technically and as well as in terms of environmental friendliness. Micro hydro is suitable to be used in areas that difficult to be reached by the grid. Problems that often occur in the micro hydro system are not the constant rotation of the generator that caused by a change in load demand of the consumer. Thus causing frequency fluctuations in the system that can lead to damage both in the plant and in terms of consumer electrical appliances. The appropriate control technology should be taken to support the optimum performance of micro hydro. Therefore, this study will discuss a strategy of load frequency control by using Energy Storage. Superconducting magnetic energy storage (SMES) and capacitor energy storage (CES) are devices that can store energy in the form of a fast magnetic field in the superconducting coil. For the optimum performance, it is necessary to get the optimum tuning of SMES and CES parameters. The artificial intelligence methods, Cuckoo Search Algorithm (CSA) are used to obtain the optimum parameters in the micro hydro system. The simulation results show that the application of the CSA that use to tune the parameters of hybrid SMES-CES-PID can reduce overshoot oscillation of frequency response in micro hydro power plant.

Optimization of SMES and TCSC using particle swarm optimization for oscillation mitigation in a multi machines power system Lastomo, Dwi; Setiadi, Herlambang; Djalal, Muhammad Ruswandi
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 8, No 1 (2017)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Due to the uncertainty of load demand, the stability of power system becomes more insecure. Small signal stability or low-frequency oscillation is one of stability issues which correspond to power transmission between interconnected power systems. To enhance the small signal stability, an additional controller such as energy storage and flexible AC transmission system (FACTS) devices become inevitable. This paper investigates the application of superconducting magnetic energy storage (SMES) and thyristor controlled series compensator (TCSC) to mitigate oscillation in a power system. To get the best parameter values of SMES and TCSC, particle swarm optimization (PSO) is used. The performance of the power system equipped with SMES and TCSC was analyzed through time domain simulations. Three machines (whose power ratings are 71.641, 163, and 85 MW) nine buses power system was used for simulation. From the simulation results, it is concluded that SMES and TCSC can mitigate oscillatory condition on the power system especially in lowering the maximum overshoot up to 0.005 pu in this case. It was also approved that PSO can be used to obtain the optimal parameter of SMES and TCSC.

Small-Signal-Stability Enhancement using a Power-System Stabilizer based on the Cuckoo-Search Algorithm against Contingency N-1 in the Sulselrabar 150-kV System Djalal, Muhammad Ruswandi; Yunus, Muhammad Yusuf; Setiadi, Herlambang; Krismanto, Awan Uji
Makara Journal of Technology Vol. 22, No. 1
Publisher : UI Scholars Hub

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Small-signal stability is one of the main factors limiting power transmission in conventional power systems. This concern is primarily handled by adding damper windings of a synchronous generator and power-system stabilizer (PSS). However, due to the impact of the N-1 contingency, damper windings and a conventional PSS are insufficient to overcome this problem. Proper placement and design of the PSS are crucial for improving stability. One approach to optimizing the placement and tuning of the PSS is to use an artificial-intelligence method. Here, the cuckoo-search algorithm (CSA) is proposed to optimize the PSS tuning and placement. Based on simulation, it is found that a PSS based on the CSA can enhance the system’s small-signal stability. The critical, local, and inter-area modes of the investigated system improve significantly. The oscillatory condition is more highly damped, as indicated by a smaller overshoot and faster settling time. It is also found that the CSA can be used to tune the PSS parameter under an N-1 contingency. From the analytical results of the N-1 contingency condition, optimal tuning of the PSS parameters was obtained, resulting in PSS-placement options for generators 1 to 7 and 12 to 15, producing a minimum damping of 0.611.

Novel PID Controller on Battery Energy Storage Systems for Frequency Dynamics Enhancement Abdillah, Muhammad; Jayadiharja, Tirta; Arjadi, R Harry; Setiadi, Herlambang; Zamora, Ramon; Afif, Yusrizal
Journal of Robotics and Control (JRC) Vol 4, No 3 (2023)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v4i3.17212

Frequency dynamics is one of the important aspects of power system stability. From the frequency dynamics, the operator could plan how is the reliability of the electricity. The frequency can be maintained by controlling the balance between load demand and generation. To maintain the balance of the generation, the governor is playing an important role to increase the speed of the turbine and enhance the generating capacity of the generator (ramp-up). However, as the speed of the governor is slower than the increasing load demand, in the sub-transient area, the frequency may experience higher overshoot. Hence, it is important to add additional devices such as battery energy storage systems to enhance the frequency dynamics response in the sub-transient area. One of the important parts of storage is the controller. The controller must make sure the storage charges and discharge energy are in the sub-transient area. Hence PID controller can be the solution to make the storage operate optimally This paper proposed a novel PID controller on battery energy storage systems (BESS) to enhance the dynamics performance of frequencies. The five-area power system is used as the test system to investigate the efficacy of the proposed novel idea. Time domain simulation is investigated to see the improvement of the frequency dynamics response. From the simulation results, it is found that adding a PID controller on BESS could enhance the BESS response and result in frequency dynamics response improvement.

Co-Authors Adi Soeprijanto Andi Imran Arjadi, R Harry Awan Uji Krismanto Bangga, Galih Chairunnisa, Chairunnisa Dwi Lastomo, Dwi Eddy Setyo Koenhardono, Eddy Setyo Faisal, Muhammad Hendranata, Yongki Hutomo, Peter Go Imam Wahyudi Farid Jayadiharja, Tirta Lastomo, Dwi Mahmoud, Karar Muhammad Abdillah Muhammad Ruswandi Djalal Muhammad Yunus Muhammad Yusuf Yunus Musthofa, Arif Putra, Louis Ramon Zamora, Ramon Reihara, Adelhard Beni Sabila, Ahmad Stefanus, Kristiadi Taurista Perdana Syawitri, Taurista Perdana Widodo, Widodo Yusrizal Afif, Yusrizal

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