Muhammad Ruswandi Djalal
@poliupg.ac.id
FUTURE PROJECTS
Power System Dynamics and Stability
Applications Invited
Renewable Energy
Applications Invited
Metaheuristic Algorithm & Control System
Applications Invited
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Markhaban Siswanto, Machrus Ali, Muhammad Agil Haikal, Slamet Wahyudi, Soedarsono, and Muhammad Ruswandi Djalal
EDP Sciences
The stability of the speed and pressure of the water flow is determined by the height and volume of the water. The speed of water flow in the actuator is determined by the use of this flow sensor system. A good tank-based water flow control model must be developed. At a certain point, the actuator stabilizes the water production rate per minute. Therefore, it is necessary to develop automatic and precise control techniques. Many Artificial Intelligence (AI) methods are used in system optimization. Among them are the Firefly Algorithm (FA) and Particle Swarm Optimization (PSO). In this research, conventional methods, Auto tuning methods, and PSO methods are used. The PSO method produces better optimization compared to the previous method. The water flow stability indicator in this simulation is shown by the size of the overshot and undershot values for each method. The best water level control simulation results are the PSO method with the smallest overshot value of 0.0333 pu, the smallest undershot value of 0.0347 pu, and the output flow results have the smallest overshot value of 0.0013 pu, the smallest undershot value of 0.0011 pu.
Nur HAMZAH
Wydawnictwo SIGMA-NOT, sp. z.o.o.
. Waste is a major problem in big cities in Indonesia, one of which is Makassar City. Every year the amount of waste generated by the residents of Makassar City continues to increase, but this is not proportional to the capacity of the landfill. Therefore, researchers want to design a waste-to-energy power plant system in Makassar City or other words apply the waste-to-energy concept. The waste-to-energy concept aims to process waste into energy and reduce the volume of waste in landfills. Then the research method used is thermodynamic modelling using STEAG Ebsilon Professional version 13.02 software. From this analysis it was found that the capacity of the waste that can be burned is 742.648 tons/day, the thermal input of the incinerator is 39.011 MW, the thermal capacity of the boiler is 30.749 MW, the thermal efficiency of the waste-to-energy boiler with direct method 83.123 % and with indirect method 82.107 %, the mechanical power of the steam turbine is 10.816 MW, the heat duty of the high-pressure feed-water heater is 1,681.321 kW, the heat duty of the low-pressure feedwater heater is 1,780.234 kW, and the cooling duty of the air-cooled condenser 20.337 MW. This design has a net thermal efficiency of 24.110%, a gross plant heat rate of 12,683.130 kJ/kg, a net plant heat rate of 13,816.942 kJ/kg, an auxiliary load of 912.744 kW, a net
Chandra Buana, Jumadi Tangko, Muhammad Ruswandi Djalal, Lewi Lewi, Ardaniah Ardaniah, and Nurrafii Al Mukhtaram
Institute of Advanced Engineering and Science
<span lang="EN-US">The energy of river water flow or irrigation canals can be utilized by using a horizontal axis Savonius turbine, which converts low-speed river flow into electrical power with good design. The design of this turbine needs to pay attention to several parameters, namely, the deflector angle, the number of blades, the diameter and thickness of the blades, and the diameter and thickness of the end plates. However, the problem usually encountered is imperfect turbine construction due to the large drag force that occurs so that the power generated is low. Based on this background, it is proposed to manufacture and test the performance of a series Savonius underwater rotors with a horizontal axis. The research results found that the generator voltage without load was 25.6 V when the turbine only rotated at 47.2 rpm, whereas when under load, the average power produced was 8.5 watts with an average turbine speed of 31 rpm. The highest efficiency value on the rotor is 86.73%, with a torque value of 3.36 at a turbine speed of 29.9 rpm. This indicates that the tool can generate large torque at low speeds.</span>
Machrus Ali, A. N. Afandi, Hidayatul Nurohmah, Rukslin Rukslin, Muhammad Agil Haikal, and Muhammad Ruswandi Djalal
AIP Publishing
Muhammad Ruswandi Djalal, Makmur Saini, and A. M. Shiddiq Yunus
AIP Publishing
Muhammad Syukri, Yusran, Yusri Syam Akil, and Muhammad Ruswandi Djalal
AIP Publishing
Jamal JAMAL
Wydawnictwo SIGMA-NOT, sp. z.o.o.
Mansur Mansur and Muhammad Ruswandi Djalal
Universitas Mercu Buana
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.
Sri SUWASTI
Wydawnictwo SIGMA-NOT, sp. z.o.o.
: Cooking water using LPG gas is practical and cleaner than using a firebox, but LPG gas is sourced from conventional energy so when the supply of petroleum mines runs out, LPG gas cannot be used anymore, while solar cells use heat from solar energy to meet various needs. very abundant and always there all the time. The purpose of this activity is to produce a continuous solar and gas hybrid system water heater, to know the working principle of the heater and to determine the performance of solar and gas cells in a solar and gas hybrid system continuous water heater. This activity method begins with the design design stage, followed by the manufacturing and assembling stages of the tool, performance testing and ends with the results of testing/data collection. From the test results, it was obtained the results of a continuous water heater hybrid system tool, a solar and gas hybrid system. The efficiency of solar panels is greatly influenced by the size of the intensity of solar radiation or weather. In testing the maximum solar panel efficiency tool is 16.68% with a solar radiation intensity of 1167 W/m2 and a minimum value of 7.28% with a solar radiation of 380 W /m2. The Hybrid system test is able to heat water up to 100 °C with varying efficiency depending on how long it has been used for the Heater and gas. But if you only use a heater, then the maximum water heating that can be achieved is 73.4 °C. This happens because by the time it reaches the water temperature, the power/voltage in the battery has reached its minimum limit (11 V) which is set on the LVD (Low Voltage Disconnect) so that the heater will turn off automatically and the gas (stove) will turn on automatically as well . Streszczenie
Nur HAMZAH
Wydawnictwo SIGMA-NOT, sp. z.o.o.
. Installation of Rooftop Solar Panels currently only considers the power capacity to be installed and the available roof area, but does not consider the type of roofing material where the solar panels are installed. The roof of the house has the absorption of sunlight and different thermal properties depending on the type of roofing material. In this study, discusses the effect of using house roofing materials on the performance of solar panels. In this study, 2 types of roofing materials were used, namely Asbestos Roof and Spandex Roof. In addition, this study discusses the effect of the height between the solar panels and the roof on the temperature and its effect on the efficiency of the solar panels. Based on this research, the temperature characteristics between the solar panels and the roof (T3) of various types of materials affect the efficiency value of the solar panels, where the maximum efficiency value is obtained for asbestos roofing material at a temperature (T3) of 35.56 ⁰ C of 5.35% and spandex roofing. at a temperature of (T3) 35.16 ⁰ C of 4.53%. Streszczenie.
Chandra BUANA
Wydawnictwo SIGMA-NOT, sp. z.o.o.
: This research begins with the design, assembly, operation and testing stages of the plant. The type of turbine being tested is a vertical thrust pelton turbine with a variation of 2 nozzles. The purpose of this study was to find the effect of the position of the two angles and the diameter of the nozzle on the water discharge. The steps taken in this test are that the 1st nozzle is placed at an angle position of 0 ⁰ , and the 2nd nozzle is varied at the angle position of 15 ⁰ , 30 ⁰ and 45 ⁰ , and also with variations in the diameter of the nozzle of 0.5 cm, 0.75 cm, and 0.9 cm to determine the turbine performance. And looking for the value of turbine efficiency, system efficiency and generator efficiency. The results showed that the maximum input power value in this study was 14.40 Watt. The maximum torque value occurs at an angle of 45 ⁰ with a nozzle diameter of 0.75 cm by 33.78 kg.mm, the maximum turbine power occurs at an angle of 45 ⁰ with a nozzle diameter of 0.5 cm at 4.52 Watt, the maximum power of the electric generator occurs at an angle of 45 ⁰ with a nozzle diameter of 0.5 cm of 1.25 Watt. The maximum turbine efficiency occurs at an angle of 45 ⁰ with a nozzle diameter of 0.75 of 99.98%. The maximum system efficiency occurs at an angle of 45 ⁰ with a nozzle diameter of 0.9 cm by 15.12%. The maximum efficiency of the electric generator occurs at an angle of 45 ⁰ with a nozzle diameter of 0.9 cm for 97.99%. Streszczenie: Badania
Firman Firman
Wydawnictwo SIGMA-NOT, sp. z.o.o.
. One of the obstacles in the open loop cooling system is that the seawater that will be discharged back to the source does not meet the requirements for the quality standards for generation wastewater. So that the waste water pit requires a long channel construction. The construction of a long waste water pit channel is needed so that convectional heat transfer occurs in the channel to achieve the temperature requirements of the generated waste water, which is around 30 o C. In this study, 4 fin configuration variations were used, namely: Ʌ -shaped four-angled fins, V-shaped four-angled fins, two parallel transverse four-angled fins ( ═ ), and two parallel four-pointed fins longitudinally (||) . With open channel dimensions of 7 m × 0.1 m × 1.3 m and the dimensions of the water wheel turbine model, namely diameter: 0.4 m, blade size: 0.8 × 0.8 m and a total of 16 blades. Based on the research results it is known that the type of fin that has the ability to reduce temperature quickly is the type of two fins with four parallel transverse angles with a temperature drop of 5.56 o C with a tilt position of 0 o , while the temperature drop with a tilt position of 30 o is 4.54 o C. However, this type of fin generates little power because the water that hits the turbine blades will be accommodated on the inside of the turbine fin even by utilizing a large discharge. The type of fin that produces the highest efficiency (%) and output power (Watts) is the type of two parallel four-angled longitudinal fins (||) with the highest efficiency value of 61.71% on a slope of 0 o C and 84.95% on a slope of 30 o C in order to obtain the greatest output power of 0.48 Watt at a slope of 0 o C and 0.56 Watt at a slope of 30 o C
Makmur Saini, Muhammad Ruswandi Djalal, Muhammad Azhar, and Golda Evangelista Patrix
Universitas Mercu Buana
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.
Muhammad Ruswandi Djalal, Imam Robandi, and Mohammad Almas Prakasa
Institute of Electrical and Electronics Engineers (IEEE)
An additional controller in an electric power system is currently required to increase the system stability, especially when a disturbance occurs. The stability of the multimachine system can be increased by installing a Static Var Compensator (SVC) and Power System Stabilizer (PSS). However, SVC and PSS equipment require precise coordination to determine the optimal location and parameters. This study presents an optimal analysis of SVC coordination with single-band PSS1A and multi-band PSS2B (MB-PSS2B) in the South, Southeast and West Sulawesi (Sulselrabar) electrical systems. An artificial intelligence method based on the Mayfly Optimization Algorithm (MOA) is proposed to optimize the location and parameters of the SVC and PSS. A comparative investigation related to controller parameter optimization from a previous work was used to measure the effectiveness of the MOA based on the Firefly Algorithm (FA) and Particle Swarm Optimization (PSO). Performance analysis using the time-domain simulation method to review the speed deviation response, field voltage response, and rotor angle response for each generator, as well as eigenvalue analysis for each control scheme when there is a change in the load disturbance on generators 1 and 13. The results show an increase in bus voltage from critical to marginal conditions and a decrease in network losses after installing SVC on bus 31 of 40 MW capacity. The application of MB-PSS2B based on the MOA provided an increased damping ratio, optimal speed response, rotor angle, field voltage generator, and eigenvalue system after installing 14 PSS.
Marhatang Marhatang and Muhammad Ruswandi Djalal
Institute of Advanced Engineering and Science
In this study, a particle swarm optimization (PSO) is proposed to optimize the cost of generating thermal plants in the South Sulawesi system. The study was con ducted by analyzing several methods using the lagrange and ant colony optimization (ACO). PSO algorithm converges on the 11th iteration algorithm with the lowest generation cost obtained, which is Rp129687962.17/hour. While the ACO algorithm converges on the 34th iteration with a generation cost of Rp131,473,269.39/hour. The results of optimization using PSO produce a total thermal power of 400.75 MW and losses of 26.15 MW. The PSO method is able to reduce the cost of generating the South Sulawesi system by Rp11,118,312.07/hour or 7.9%. While using the ACO method generates a generation cost of Rp131,473,269.39/hour to generate power of 400,812 MW with losses of 26,219 MW. The ACO method is able to reduce the cost of generating the South Sulawesi system by Rp9,333,004.9/hour or 6.62%. PSO algorithm provides the lowest cost calculation of generator compared with conventional methods and ACO smart methods. This is also shown in the calculation process, the PSO method completes calculations faster than the ACO method.
Muhammad Ruswandi Djalal and Imam Robandi
IEEE
To improve the generator’s performance, additional equipment is needed, mainly if oscillations occur outside the excitation control of the generator. PSS will increase the stability limit by providing damping for generator oscillations. PSS damping means that the PSS will produce an electric torque component that is in phase with the change in speed. However, the use of PSS has many errors, especially conventional PSS. The desired value is different from the measured PSS output value. This is due to shaft motion components such as lateral shaft run out or torsional oscillations. In this study, the Dual Input Power System Stabilizer (DIPSS) equipment was used to reduce signal noise on the generator in the Sulselrabar system. With optimal DIPSS parameters, optimal system performance is obtained. An intelligent optimization technique based on the Mayfly optimization Algorithm (MOA) is used to get the correct parameters. MOA is used to find the correct parameters and get the system’s minimum damping. Then the placement of DIPSS is based on the participation factor method of each generator. This study uses a case study of the addition of a load on the Sengkang generator. From the test results, system performance increases with the installation of DIPSS MOA. The increase in system performance can be seen from the speed and angle response of the generator rotor, which produces minimal overshoot oscillations and fast settling time when a disturbance occurs. In addition, the increase in system performance can also be seen from the negative system eigenvalues.
Machrus Ali, Muhammad Ruswandi Djalal, Hidayatul Nurohmah, and Rukslin
IEEE
A Proportional Integral Derivative (PID) controller in a synchronous motor is widely used because of its simple structure, robustness, strength and ease of use. The use of a PID controller requires proper parameter settings for optimal performance on the motor. The solution often used is the trial-error method to determine the correct parameters for the PID, but the results obtained do not make the PID controller optimal. Recently there have been many studies to optimize PID controllers wrong with intelligent methods. For this reason, this research will use the Craziness Particle Swarm Optimization (CRPSO) optimization method to optimize and determine the proper parameters of the PID. The CRPSO method is a method that provides an innovation to the velocity function of the particles distributed in the PSO method. From the simulation results, CRPSO performance is more optimal than PSO. From the correct PID parameter tuning results, a minimum overshoot response is obtained with several speed variations. In addition, an increase was also obtained in PMSM starting torque using CRPSO.
Muhammad Rais, Muhammad Ruswandi Djalal, Veronika Asri Tandirerung, Rosihan Aminuddin, Irwan Syarif, and Rosmiati
IEEE
The stability of a generator has an important function in the continuity of electricity production. A multimachine electric power system has many generators connected. The Sulselrabar system consists of several interconnected power plants. Proper coordination between generating centres can support the performance of the electric power system, especially when disturbances can disrupt system stability. Sudden load changes are one of the electric power system’s disturbances, which can impact the generator’s stability. In generator operation, the controller is assigned to the generator excitation equipment. However, the dynamics of the electric power system continue to evolve, causing the generator excitation equipment to reach its limit when a large disturbance occurs. Control equipment such as PID and Power System Stabilizer (PSS) produce good performance on the system. The use of these controls requires optimal coordination in finding the right parameters and locations. In this study, an approach is proposed in coordinating PID and PSS controllers for multi-engine generators in the Sulselrabar system. The Ant Colony optimization (ACO) algorithm is a smart algorithm that adopts the behavior of ants in finding food sources. ACO is used for precise PID-PSS parameter optimization. A case study was used in Sengkang generators that were subjected to load change disturbances. From the simulation results, it is obtained that the performance of the Sengkang generator is optimal in terms of speed overshoot response and minimum rotor angle. The application of PID-PSS also increases the damping system so that the oscillations generated due to disturbances can be properly attenuated.
Makmur Saini, Muhammad Ruswandi Djalal, and A.M. Shiddiq Yunus
IEEE
The combination of a Power System Stabilizer (PSS) and PID control in a multiengine system provides additional control action on the excitation side of the generator. Optimal coordination is required to use the two controllers. The Sulselrabar system is a complex system that connects large load centers. A study is needed regarding generator stability to support system performance. This study proposes an artificial intelligence optimization method based on Craziness Particle Swarm Optimization (CRPSO) to optimize the PID-PSS parameters. CRPSO is a refinement of the premature convergence of the conventional PSO method. The optimal PID-PSS parameter results in optimal generator excitation performance. The combination of PID-PSS and excitation reduces the oscillations in the system. From the analysis, results obtained optimal performance compared to other control schemes in terms of the excitation output response that gives a maximum signal. The speed response produces a minimum overshoot of −0.01187 & 0.00019pu. Besides that, it is also viewed from the increase in eigenvalues and the maximum damping system, 0.601826596. This increase results in optimal system performance, faster system heading to a steady state and faster settling time.
Muhammad Ruswandi Djalal and Imam Robandi
IEEE
Disturbances in the form of electrical power oscillations are generally overcome using additional equipment such as the Conventional Power System Stabilizer (PSS). The PSS will increase the stability limit by providing damping for the generator oscillation. PSS damping means that PSS will produce an electrical torque component that is in phase with the change in speed. However, the use of PSS has many errors, namely the desired value is different from the measured value of the PSS output. This is due to shaft motion components such as lateral shaft run out or torsional oscillations. In this research, Dual Input Power System Stabilizer (DIPSS) equipment is used to reduce signal noise so that the system remains stable. With optimal DIPSS parameters, optimal system performance is obtained. In this study, a case study of the additional load on the Barru generator is used. From the test results, system performance has increased with the installation of DIPSS ICA. The increase in system performance can be seen from the speed and angle response of the generator rotor, which results in minimum overshoot oscillations and fast settling time when disturbances occur. In addition, the increase in system performance is also seen from the negative system eigenvalues.
Nur Hamzah
Wydawnictwo SIGMA-NOT, sp. z.o.o.
Firman Firman, Nur Hamzah Said, and Muhammad Ruswandi Djalal
Praise Worthy Prize
. In general, the PLTS Rooftop installation only considers the power capacity to be installed and the available roof area. It does not consider the type of roof material where it is installed. Meanwhile, the roof of the house has the absorption of sunlight and different thermal properties depending on the type of roofing material. In this study, the objective of this research is to observe the temperature characteristics between solar panels and roofs from 2 types of materials, namely clay tile and ceramic tile, in which the influence of the height between the solar panel and the ceiling on the temperature and its effect on the efficiency of the solar panel. Based on the results of this study, the temperature characteristics between the solar panel and the roof (T3) of various types of material have an influence on the efficiency value of the solar panel, where the maximum efficiency value is obtained for clay tile material at a temperature (T3) of 33.77 ⁰ C of 4.22% and ceramic tile at temperature (T3) at 5.69%. ę dzy panelami s ł onecznymi a dachami z 2 rodzajów materia ł ów tj. dachówka ceramiczna i dachówka ceramiczna, w których wp ł yw wysoko ś ci pomi ę dzy panelem s ł onecznym a sufitem na temperatur ę i jego wp ł yw na wydajno ść panelu s ł onecznego. Na podstawie wyników tych bada ń na warto ść sprawno ś ci panelu s ł onecznego wp ł ywa charakterystyka temperaturowa pomi ę dzy panelem s ł onecznym a dachem (T3) z ró ż nych materia ł ów, gdzie maksymaln ą warto ść sprawno ś ci uzyskuje si ę dla materia ł u z dachówki ceramicznej przy temperatura (T3) 33,77 ⁰ C 4,22% i p ł ytka ceramiczna w temperaturze (T3) 33,51 ⁰ C 5,69%. ( Analiza charakterystyki paneli słonecznych na dachówkach ceramicznych i ceramicznych)
Muhammad Ruswandi Djalal, Makmur Saini, and A. M. Shiddiq Yunus
IEEE
A sudden and severe load change may result in dynamic stability issues and adverse effects to the generator performance because of the frequency and rotor angle oscillations. Power system stabilizer (PSS) is usually used to overcome this issue however, it may fail to suppress large dynamic oscillations. This paper presents a complimentary suppression scheme using superconducting magnetic energy storage (SMES) and capacitor energy Storage (CES) systems. SMES has a rapid response to any disturbance while the CES features large storage capacity. Combination of SMES and CES can improve the performance of power systems significantly, if their control parameters are properly optimized. Traditionally, the control parameters of SMES and CES are adjusted by trial and error approach which is time consuming and does not warrant optimum performance. In this paper, ant colony optimization technique is used to simultaneously tune the SMES-CES-PSS parameters. The proposed system along with the optimized parameters is tested on a single machine-infinite bus system to assess its robustness to improve the frequency response and rotor angle profiles under severe load dynamic change. Simulation results reveal the effectiveness of the proposed controller in suppressing large oscillations and improving system stability during such disturbance events. From the optimization process, the minimum fitness function value is 6.183e-08 at the 30th iteration.
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PT. Mitra Usaha Teknik, Electrical Engineer, 2007
PT. Barawaja, Electrical Engineer, Jan 2008-Okt 2010