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28,451 Article Results

Modelling and simulation of maximum power point tracking on partial shaded PV based-on a physical phenomenon-inspired metaheuristic algorithm

10.11591/ijeecs.v39.i3.pp1923-1937
Prisma Megantoro , Joy Sefine Dona Saya , Muhammad Akbar Syahbani , Marwan Fadhilah , Pandi Vigneshwaran
Maximum power point tracking (MPPT) is a technique to optimize the photovoltaic (PV) current generation, so it can improve the efficiency of solar energy harvesting. MPPT works by searching the voltage which generates the maximum power, called the maximum power point (MPP). MPP value changes by the fluctuance of ambient temperature and solar insolation level depicted by the I-V curve. Searching the MPP will be more complex if the partial shading is happened. The effect of partial shading will rise to more than one local MPPs. In this research, an optimization algorithm is modeled and simulated the MPPT technique in partial shading. The optimization uses the new metaheuristic algorithm which inspired from a physical phenomenon, called Archimedes optimization algorithm (AOA). The AOA uses mathematical modeling which has convergence capabilities, balanced exploration, and exploitation and is suitable for solving complex optimization technique, like MPPT. The research used varies partial insolation percentage. The implementation of MPPT-AOA compared to other metaheuristic algorithms to analysis its performance in the aspect of PV system parameters and tracking process parameters. The simulation result shows that the AOA can enrich the MPPT technique and improve the solar energy harvesting which is superior to other algorithms.
Volume: 39
Issue: 3
Page: 1923-1937
Publish at: 2025-09-01

Cost-effective optimization of unified power quality conditioner in wind energy conversion systems using a hybrid EnHBA-GWO algorithm

10.11591/ijpeds.v16.i3.pp2043-2054
Shaziya Sultana , Umme Salma
The rapid integration of wind energy conversion systems (WECS) into modern power networks has led to pressing power quality concerns, including voltage instability, harmonic distortion, and reactive power imbalance. To address these challenges, this study introduces a hybrid optimization strategy that combines the global search capabilities of the enhanced honey badger algorithm (EnHBA) with the local exploitation strengths of the grey wolf optimizer (GWO) for the best operational parameters of a unified power quality conditioner (UPQC). Extensive simulations in MATLAB Simulink demonstrate significant improvement in performance. The proposed method achieves 95% energy efficiency, a power factor of 0.99, and total harmonic distortion (THD) down to 5%, meeting IEEE 519-2022 standards. This outcome reflects an effective balance between cost and power quality performance, highlighting the potential of hybrid optimization to improve grid stability and efficiency in renewable energy environments.
Volume: 16
Issue: 3
Page: 2043-2054
Publish at: 2025-09-01

Stunting among toddlers in poor Indonesian households

10.11591/ijphs.v14i3.25738
Sarni Rante Allo Bela , Mona Safitri Fatiah , Yane Tambing , Agung Dwi Laksono , Ratna Dwi Wulandari , Hastin Dyah Kusumawardani , Taufiq Hidayat
Poverty has a significant impact on stunting in children under the age of five from low-income families, accounting for around 18.4% of stunting cases in Indonesia. The goal of this study was to look into the factors that may contribute to the prevalence of stunting among children under the age of five from low-income families in Indonesia. The study used a cross-sectional design and data from the 2022 Indonesian National Nutrition Status Survey to evaluate approximately 112,574 children. The data was analyzed at the multivariate level in binary logistics using SPSS 26 software. The data revealed that around 24.8% of disadvantaged households in Indonesia experienced stunting, with a variety of variables impacting its frequency. These included residence variables (AOR:1.08 and 95% CI:1.08-1.09), maternal age (AOR: 1.28 with 95% CI: 1.21-1.25), education level (AOR: 1.02 and 95% CI: 1.01-1.03), marital status (AOR:1.02 with 95% CI: 1.01-1.03), Antenatal Care (ANC) (AOR:1.45 with 95% CI: 1.44-1.47), age of the child (AOR:3.29 with 95% CI: 3.27-3.31), and the sex of the infant (AOR:3.29 with 95% CI: 3.27-3.21). Seven characteristics have been identified as predictors of stunting in children under the age of five in disadvantaged Indonesian homes. Expanding targeted programs for low-income families is critical for increasing their income through comprehensive entrepreneurship training and social assistance activities.
Volume: 14
Issue: 3
Page: 1441-1451
Publish at: 2025-09-01

Direct torque control of induction motor using a novel sliding mode control

10.11591/ijpeds.v16.i3.pp1586-1597
Ngoc Thuy Pham , Duc Thuan Le , Phu Diep Nguyen
Direct torque control (DTC) for induction motor (IM) drive systems is recognized as a powerful control method known for its fast response and simple structure. However, this control method often suffers from several limitations, such as significant torque and current ripple, and sensitivity to variations in motor parameters. To address these issues, this paper proposes a novel sliding mode control strategy for the outer speed loop to improve the quality of DTC-based IM drive systems. Unlike previous approaches, we propose a novel adaptive parameter higher-order sliding mode (HOSM) controller for IM speed control. This approach enhances the drive system's performance by reducing torque ripple (a common issue in DTC), improving dynamic response, eliminating overshoot during transients, and increasing overall system stability. To ensure system stability, Lyapunov stability theory is used to design the control signals. The efficiency of the control law proposed in this paper is evaluated based on simulations performed on MATLAB-Simulink. The results obtained demonstrate that: First, the proposed control model for fast torque and speed responses, ensuring the drive system converges to the desired operating point during transients without encountering the phenomenon of exceeding the threshold. Second, the system maintains stable operation, even in the presence of load disturbances. Third, this method significantly reduces torque ripple, a common problem in IM drive systems using DTC techniques.
Volume: 16
Issue: 3
Page: 1586-1597
Publish at: 2025-09-01

Optimal placement of recloser for the improvement of reliability indices in radial distribution system using hybrid PSO-firefly algorithm

10.11591/ijpeds.v16.i3.pp1840-1851
Jacob Kehinde Ogunjuyigbe , Evans Chinemezu Ashigwuike , Timothy Oluwaseun Araoye , Oluyinka Olugbenga Aina , Onyekachukwu Denis Ozulu , Sardauna Ibrahim , Issac Ojochogwu Onuh , Ikenna Chuddy Mbamalu
Electricity outages are frequently caused due to problems in the electric distribution system (EDS). The method presented in this research describes a comprehensive dual-phased designed to enhance the electric network efficiency and reliability. A hybrid particle-firefly optimization method is applied in the first phase to allocate reclosers and sectionalizer in an optimal accessible path. Furthermore, in the second phase, the Medium distribution voltage Systems that comprises five main circuit breaker and one power source are taken into consideration, as well as automatic  load shift to an alternative power supply and the secondary circuit breaker shut down under normal conditions. The authors provide a streamlined technique based on swapping out loads discrete to determine the reduction value of the anticipated energy not-supplied (ENS) and cost of energy not-supplied (CENS) to customers after installing sectionalizer and recloser in APO radial substation network. The optimized CENS with protective device of the distribution system is tremendously reduce compared to the CENS of the conventional state which has no protective scheme.
Volume: 16
Issue: 3
Page: 1840-1851
Publish at: 2025-09-01

Modelling and optimization of hybrid renewable energy system using SBLA-MAT algorithm

10.11591/ijpeds.v16.i3.pp1897-1913
Arun Kumar Udayakumar , P. Ashok , Mohan Das Raman , Krishnakumar Ramasamy , Mohammad Amir
In order to enhance the reliability and economic feasibility of power systems, this research presents a hybrid control method for the optimal design of hybrid renewable energy sources (RES), including fuel cells, solar photovoltaic (PV), and wind power. Optimization of the power system to enhance efficiency and reduce downtime is achieved using the side blotched lizard optimization with multi-objective artificial tree algorithm (SBL MAT). The research intends to reduce costs in wind, PV, and FC scenarios and make it reliable for load delivery at a low cost and high level of dependability. While a mathematical model of SBL behavior demonstrates the need to discover and implement global optimizing approaches, the MAT algorithm resolves the supervised classification challenge. Possible benefits of the proposed technology include increased reliability and decreased maintenance costs for electrical systems. The proposed approach enables cost-effective and reliable load generation from PV, wind, and fuel cell systems, regardless of the volatility of the weather. Using MATLAB/Simulink, the assessment of parameters like recall, specificity, accuracy and precision is carried out and the results were 99.91%, 99.85%, 99.65%, and 99.325%, respectively. The parameters loss of load expectation (LOLE) and loss of energy expectation (LOEE) are calculated for analysis using both current and future technology.
Volume: 16
Issue: 3
Page: 1897-1913
Publish at: 2025-09-01

Enhance the performance of 3-phase induction motors with the utilization of a 9-phase winding design

10.11591/ijpeds.v16.i3.pp1528-1536
Zulkarnaini Zulkarnaini , Sepannur Bandri , Erhaneli Erhaneli , Zuriman Anthony , Yusreni Warmi , Arfita Yuana Dewi Rachman
Because of its sturdy design, affordability, and convenience of use, the three phase induction motor is a common kind of electric motor, especially in the industrial sector. This motor design is still being improved to make it work better. For example, permanent magnets are being added to the rotor, control systems are getting better, the number of phases is being increased, and motor winding designs are developing. Nevertheless, the creation of the motor winding design is the least expensive aspect of all these endeavors. By creating a nine-phase winding configuration with a three-layer design in the motor, this study aims to enhance the performance of a three-phase induction motor. This study examined output power, speed, mechanical torque, and motor efficiency in a 3-phase system operation. The study's results indicated that the new design motor worked better, with higher output power (4.27%), rotor speed (0.61%), and mechanical torque (3.47%), despite a minor reduction in efficiency relative to conventional 3-phase induction motors (-0.24%).
Volume: 16
Issue: 3
Page: 1528-1536
Publish at: 2025-09-01

Analysis of cascaded H-Bridge multilevel inverters using SPWM with multi-sinusoidal reference

10.11591/ijpeds.v16.i3.pp1740-1751
Azrita Alias , Wahidah Abdul Halim , Maaspaliza Azri , Jurifa Mat Lazi , Muhammad Zaid Aihsan
Multilevel inverters have become the preferred choice for medium voltage and high-power applications due to their superior waveform quality, reduced stress on switching components, and overall enhanced performance. Among these, the cascaded H-bridge inverter stands out for its simpler control and modulation techniques, as well as its greater efficiency compared to other multilevel inverter topologies. This paper presents the design and performance evaluation of a cascaded H-bridge multilevel inverter (CHMI) for five, seven, nine, eleven, thirteen, and fifteen levels, utilizing sinusoidal pulse width modulation (SPWM) in MATLAB Simulink. The proposed technique, the multi-sinusoidal reference, is implemented by comparing multiple sinusoidal wave signals with a carrier triangular signal, with the resulting comparison pulses used to control the inverter's switching. The output results indicate that as the number of levels in multilevel inverters increases, the total harmonic distortion (THD) decreases, and the output voltage improves.
Volume: 16
Issue: 3
Page: 1740-1751
Publish at: 2025-09-01

Inverter transient response improvement using grey wolf optimizer for type-2 fuzzy control in HVDC transmission link

10.11591/ijpeds.v16.i3.pp2130-2142
I Made Ginarsa , Agung Budi Muljono , I Made Ari Nrartha , Ni Made Seniari , Sultan Sultan , Osea Zebua
High voltage direct current (HVDC) on transmission-link becomes a new prominent technology in recent years. The HVDC is applied to transmit amount of electrical energy from power plant to consumers. This method makes reactive power losses on transmission devices decrease significantly and stability level of generator increases. However, inverter HVDC transmission system can produce slow and high inverter transient current (ITC) response at high value of the up-ramp rate. This ITC phenomenon can be serious problem at starting time. So grey wolf algorithm is proposed to optimize input-output parameters of interval type-2 fuzzy control (IT2FC) in inverter-side HVDC. The proposed control performance’s is assessed by integral time squared error (ITSE) and peak overshoot (Mp) approaches. Simulation results show that small ITSE and low Mp of transient response are given by the IT2FC. The IT2FC is successful applied on inverter HVDC with better results compared to conventional PI control scheme.
Volume: 16
Issue: 3
Page: 2130-2142
Publish at: 2025-09-01

Fuzzy logic-based adaptive virtual inertia control for enhancing frequency stability in low-inertia microgrids

10.11591/ijpeds.v16.i3.pp2005-2016
Omar Boutfarjoute , Hamid Chekenbah , Yassir Maataoui , Rafik Lasri
The increasing integration of renewable energy sources (RES) is accelerating the shift from traditional synchronous machine-based power systems to inverter-dominated grids. This transition poses significant frequency stability challenges, as power electronic interfaces lack the inherent kinetic energy storage of conventional generators, resulting in low system inertia. To address these challenges, this study proposes an adaptive virtual inertia control system based on fuzzy logic, which offers notable advancements in frequency dynamics. The proposed controller dynamically adjusts the virtual inertia constant in real-time by leveraging inputs such as frequency and the rate of change of frequency (RoCoF). This adaptive approach overcomes the limitations of fixed inertia systems, ensuring improved frequency stability and superior transient performance during load disturbances. Simulation results validate the system's effectiveness, showing reduced frequency overshoots, minimized deviations, and faster recovery to nominal frequency compared to conventional fixed inertia methods. By rapidly damping oscillations and enhancing transient stability, the proposed system significantly outperforms traditional techniques. Moreover, the study reviews current virtual inertia strategies, control topologies, and explores future research directions for integrating advanced virtual inertia into modern grids. These findings demonstrate the robustness of fuzzy logic based adaptive inertia for stabilizing low-inertia microgrids with high RES penetration.
Volume: 16
Issue: 3
Page: 2005-2016
Publish at: 2025-09-01

Composite least mean fourth algorithm (CLMF) based dynamic voltage restorer for enhancement of power quality

10.11591/ijpeds.v16.i3.pp1484-1495
Tummala Kranti Kiran , Balakrishnan Rajagopal , Yerramilli Butchi Raju
This paper introduces the composite least mean fourth control algorithm (CLMF) with a dynamic voltage restorer (DVR) to address power quality problems linked to voltage at the source side and supply clean voltage to the distribution network's sensitive loads. The performance of the two least mean fourth adaptive filters combined convexly by this control technique is better than that of the filters working independently. When comparing the suggested control to conventional synchronous reference frame-based vector control, phase-locked loops, abc to dq transformations, and dq to abc transformations are all practically eliminated. When compared to standard least mean square (LMS) and least mean fourth (LMF) control approaches, the proposed CLMF's features—simple computation, ease of implementation, reduced settling time, and increased reliability—show that the suggested controller is more efficient. The proposed CLMF controller excels in terms of rise time, 0.082 sec., and less settling time, 0.092 sec., respectively, with a peak overshoot of 2.33% compared with the aforementioned control algorithms. Different voltage-related PQ issues have been corrected successfully by the proposed CLMF. Through simulation using MATLAB/Simulink, system performance has been verified.
Volume: 16
Issue: 3
Page: 1484-1495
Publish at: 2025-09-01

Navigating the future of energy storage: insights into lithium-ion battery technologies

10.11591/ijpeds.v16.i3.pp1429-1437
Kalagotla Chenchireddy , Perattur Nagabushanam , Radhika Dora , Vadthya Jagan , Shabbier Ahmed Sydu , Varikuppala Manohar
Lithium-ion batteries are now considered essential technology for a wide range of contemporary applications due to the growing need for effective and sustainable energy storage solutions. The various lithium-ion battery chemicals that are covered in detail in this paper are lithium iron phosphate (LFP), lithium nickel manganese cobalt (NMC), lithium nickel cobalt aluminum oxide (NCA), lithium-ion manganese oxide (LMO), lithium-ion cobalt oxide (LCO), and lithium titanate oxide (LTO). Based on critical performance metrics such as energy density, life cycle, charge/discharge rates, cost, and operational temperature range, each kind is assessed. Additionally, the paper discusses the future potential of lithium-ion technologies, with a focus on advancements in energy density, safety, sustainability, and recycling. By assessing the strengths and limitations of various lithium-ion chemicals, this paper seeks to provide valuable insights into the rapidly evolving field of battery technology, highlighting their indispensable role in the transition to sustainable energy systems. Lithium ion batteries have the potential to significantly enhance the efficiency and dependability of energy storage systems in a variety of applications with further research and development.
Volume: 16
Issue: 3
Page: 1429-1437
Publish at: 2025-09-01

Evaluating shading effects on photovoltaic modules: Mathematical modeling with ideal, single, and double diodes

10.11591/ijpeds.v16.i3.pp1949-1961
Mohcine Abouyaakoub , Mbarek Chahboun , Ali Ait Ali , Aziz El Mrabet , Hicham Hihi , Souhail Barakat
Among the issues that solar systems face is partial shadowing that can be caused by many factors, such as trees, buildings, or clouds. A shaded module will produce less energy, which reduces the power supplied by a solar system based on PV panels. The purpose of this study is to model and simulate photovoltaic modules based on an ideal single and double diode. After that, we will simulate five configurations formed by nine photovoltaic solar panels: series (S), parallel (P), series-parallel (SP), bridge-link (BL), and total-cross-tied (TCT) under uniform and non-uniform cases (center, diagonal, and frame). These five PV solar configurations are compared in terms of short circuit currents (ISC), open circuit voltages (VOC), peak powers (PMP), the voltage and current values corresponding to maximum power (VMP, IMP), mismatch power loss (MPL), fill factor (FF), efficiency ratio (ER), and overall maximum power (OMP). The six PV configurations are simulated, considering the parameters of the STM6-40/36 PV module.
Volume: 16
Issue: 3
Page: 1949-1961
Publish at: 2025-09-01

A new approach for optimal sizing and allocation of distributed generation in power grids

10.11591/ijpeds.v16.i3.pp1598-1607
Hudefah Alkashashneh , Ayman Agha , Mohammed Baniyounis , Wasseem Al-Rousan
This paper presents a methodology for optimizing the allocation and sizing of distributed generators (DG) in electrical systems, aiming to minimize active power losses on transmission lines and maintain bus voltages within permissible limits. The approach consists of two stages. First, a sensitivity based analysis is used to identify the optimal candidate bus or buses for DG placement. In the second stage, a new random number generation method is applied to determine the optimal DG sizing. Moreover, a ranking for the optimal locations and sizes is given in case the optimal location is unavailable in real-world scenarios. The proposed methodology is demonstrated through a straightforward algorithm and tested on the IEEE 14-bus and IEEE 30-bus networks. Numerical simulations in MATLAB illustrate the effectiveness of the proposed approach in finding the optimal allocation of DG and the amount of active power to be allocated at the candidate buses, considering the inequality constraints regarding voltage limits and DG allowable power. The paper concludes with results, discussions, and recommendations derived from the proposed approach.
Volume: 16
Issue: 3
Page: 1598-1607
Publish at: 2025-09-01

Dual-aware EV charging scheduling with traffic integration

10.11591/ijpeds.v16.i3.pp1446-1456
Maneesh Yadav , Satyaranjan Jena , Chinmoy Kumar Panigrahi , Ranjan Keshari Pati , Jayanta Kumar Sahu
Electric vehicle adoption is a trend in many countries, and the demand for charging station infrastructure is at a rapid pace. The placement of charging stations is the key research topic of many researchers, but charging scheduling is also a problem that is going to rise in the near future. The proper charger utilization, maintaining coordination between charging stations, and satisfying users' demands are some of the key challenges. The traffic pattern is uncertain, coordination of distances between charging stations and users is done by Euclidean distance. The traffic-aware fair charging scheduling (TAFCS) strategy is proposed, which will have a balance on charger utilization and user prioritization, and keep the fairness by equal distribution of electric vehicles among all the charging stations having a centralized charging system monitored by an aggregator. The distribution of the traffic pattern of electric vehicles is performed by Monte Carlo simulation. The proposed system is tested on the IEEE 33 bus standard system using the predefined voltage limits of each bus and limiting power loss to lessen its burden. The discharging process of 50 electric vehicles (V2G) is performed by optimal placement by obtaining the weakest buses, which makes it an intelligent distribution system. This proposed charging framework is validated on MATLAB R2020a.
Volume: 16
Issue: 3
Page: 1446-1456
Publish at: 2025-09-01
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