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International Journal of Power Electronics and Drive Systems (IJPEDS)
Published by Institute of Advanced Engineering and Science
ISSN : -     EISSN : 20888694     DOI : -
Core Subject : Engineering,
Control & Systems Engineering Electrical & Electronics Engineering
International Journal of Power Electronics and Drive Systems (IJPEDS, ISSN: 2088-8694, a SCOPUS indexed Journal) is the official publication of the Institute of Advanced Engineering and Science (IAES). The scope of the journal includes all issues in the field of Power Electronics and drive systems. Included are techniques for advanced power semiconductor devices, control in power electronics, low and high power converters (inverters, converters, controlled and uncontrolled rectifiers), Control algorithms and techniques applied to power electronics, electromagnetic and thermal performance of electronic power converters and inverters, power quality and utility applications, renewable energy, electric machines, modelling, simulation, analysis, design and implementations of the application of power circuit components (power semiconductors, inductors, high frequency transformers, capacitors), EMI/EMC considerations, power devices and components, sensors, integration and packaging, induction motor drives, synchronous motor drives, permanent magnet motor drives, switched reluctance motor and synchronous reluctance motor drives, ASDs (adjustable speed drives), multi-phase machines and converters, applications in motor drives, electric vehicles, wind energy systems, solar, battery chargers, UPS and hybrid systems and other applications.
Arjuna Subject : -
Articles 63 Documents
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Search results for , issue "Vol 15, No 1: March 2024" : 63 Documents clear
Modelling and performance analysis of free body dynamics of electric vehicles Sakthivelsamy, Rajalingam; Subramaniyan, Kanagamalliga
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i1.pp1-7

Abstract

The modelling and performance analysis of free body dynamics in electric vehicles (EVs) plays a crucial role in understanding and optimizing the vehicle's behavior and performance. This research focuses on accurately modelling the forces and motions acting on the vehicle body, excluding the powertrain components. By considering factors such as vehicle weight, suspension characteristics, tire properties, and aerodynamic forces, a comprehensive mathematical model is developed. This model enables the simulation and analysis of the vehicle's behavior under various operating conditions. The performance analysis involves evaluating key metrics such as vehicle response, stability limits, and ride comfort. The proposed system is compared with the existing electric vehicle in the market. The findings from this research contribute to the design and development of EVs with improved handling, stability, and energy efficiency. Additionally, they inform the development of advanced driver-assistance systems (ADAS) and autonomous driving technologies. Overall, the modelling and performance analysis of free body dynamics in EVs supports the advancement of sustainable and efficient transportation systems.
Performance improvement of a standalone PV system using supercapacitors: modeling and energy management Hassan, Mohamed Salah; Hassan, Shimaa; Hassan, Mohamed Reda Mahmoud; El-Sayed, Abou-Hashema Mostafa; Shoyama, Masahito; Dousoky, Gamal Mahmoud
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i1.pp222-238

Abstract

Standalone photovoltaic (PV) systems are the most common and practical application in remote areas and communities far from the power grid. However, in the case of supplying a pulsating load with only a battery as a storage unit, their performance degraded. Therefore, hybrid electrical energy storage (HEES) systems represent a viable solution. This paper investigates the impact of utilizing a supercapacitor (SC) to work cooperatively with a battery storage unit to enhance the overall system behavior. Two scenarios of battery storage systems with/without SC are considered. A comprehensive modeling and sizing approach is established and presented in detail. Then, an energy management system (EMS) is proposed to enhance the HEES system’s performance. A proportional-integral (PI)-based controller is designed and examined to control the power electronic converters and hence improve energy management. The HEES system operation is simulated and evaluated using MATLAB/Simulink to feed a pulsating load, where the drawn pulsated load current is composed of two components: one component is supplied by battery, and the other component is fed from SC. Finally, the performance of the two hybrid configurations is evaluated in terms of battery voltage and current fluctuations, transient response, and load voltage and current ripples. The obtained results demonstrate the effectiveness of introducing SCs into HEES system.
Dynamic evolution control for the DC/DC boost converter design and implementation Samosir, Ahmad Saudi; Sulistiyanti, Sri Ratna; Gusmedi, Herri; Mardiyah, Luthfiyyatun
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i1.pp357-366

Abstract

This paper introduces the design and hardware implementation of the dynamic evolution control for a DC/DC boost converter. The development of the controller aims to effectively regulate the output voltage of the DC/DC boost converter with a high degree of precision. A comprehensive examination of the duty cycle formula for the boost converter is conducted using a non-linear analysis approach. This study introduces a methodology for the synthesis of a converter controller utilizing the principles of dynamic evolution control theory. The converter's output consistently aligns with the target voltage by following the dynamic evolution path determined by the designed controller. The performance evaluation of the proposed boost converter controller utilizing dynamic evolution control is being validated through the utilization of MATLAB/Simulink simulation software. The effectiveness of the proposed controller is further validated through the presentation of hardware results. The performance of the controller was evaluated by varying the values of parameters k and m.
Development of multi-input multi-output converter for decarbonization energy system Baharom, Rahimi; Ghazali, Mohd Shukri Mohd
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i1.pp271-280

Abstract

Decarbonization energy systems include a range of renewable energy sources, such as solar, wind, hydro, and geothermal. These sources generate electricity with minimal carbon emissions and can be used in various applications, including power generation, heating, and transportation. Therefore, the use of a multi-input multi-output (MIMO) converter is becoming increasingly important in decarbonization energy systems. This is because the integration of multiple renewable energy sources, requires a power converter that can manage multiple inputs and outputs efficiently. This paper presents the development of a MIMO converter using a single-phase matrix converter for decarbonization energy systems. The proposed converter is capable of integrating multiple renewable energy sources and can be used in a microgrid application, thus removing the need of multiple converters. The design and analysis of the converter are presented, including the selection of power switches and control strategy. The performance of the converter is evaluated through experimental results, demonstrating its effectiveness in managing multiple inputs and outputs using a single power converter circuit. The results indicate that the proposed converter is a promising solution for decarbonization energy systems, contributing to the development of sustainable energy systems.
Load frequency control in Island micro-grid with electric vehicles and renewable energy sources using modified fractional order PID controller Tola, Omokhafe James; Irefu, Ovis Daniel; Ambafi, James Garba
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i1.pp168-179

Abstract

This paper presents a modified fractional-order proportional-integral-differential (MFOPID) controller for load frequency control in an Island microgrid based on an electric vehicle (EV) and renewable energy source. It tackles the intermittent energy sources and the dynamic of the load change with reduced speed and the quality of response generated on the microgrid. The MFOPID controller gains are well turned using a metaheuristic grasshopper optimization algorithm (GOA) technique to determine its robustness and optimal system performance. The controller gains are evaluated with three different searching agent populations. The proposed MFOPID with GOA improved system performance frequency by 19.485 Hz compared to 14.1151 Hz of the benchmark model. It takes 6.9068 s of the proposed model to settle compared to 16.6796 s of FOPID.
Modelling and implementation of a photovoltaic system through improved voltage control mechanism Usmonov, Shukurillo; Iqbal, Atif; Saleem, Adeel; Khosiljonovich, Kholiddinov Ilkhombek; Odiljanovich, Uzbekov Mirsoli; Ugli, Eraliev Khojiakbar Abdinabi; Ugli, Mamadaliev Musulmonkul Imomali
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i1.pp412-421

Abstract

Renewable energy dependence is increasing daily due to the decaying of conventional energy sources. Another primary reason is the increment of pollution as well as global warming. Various alternate energy sources are being used to replace conventional ones. Among them, the prominent photovoltaic source provides clean and green energy. This research focuses on energy production through the photovoltaic source. The photovoltaic cells combination is used along with the boost converter to get the maximal power output. The maximum power point tracker was designed and implemented to obtain the optimal power from the photovoltaic cells, which do not provide the desired results. Therefore, the voltage control method is an alternative to the maximum power point tracker. Both methodologies compared at different intensities of solar light. The load is attached to the photovoltaic output to test its reliability and smooth performance. The system is designed using MATLAB simulation, and the desired results are obtained.
Enhancing the output power of solar cell system using artificial intelligence algorithms Ali, Ahmed H.; El-Kammar, Raafat A.; Hamed, Hesham F. A.; Elbaset, Adel A.; Hossam, Aya
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i1.pp480-490

Abstract

The main objective of research in the field of solar cell systems is to obtain the maximum output power. In this respect, artificial intelligence (AI) is considered the current icon. Hence, in the present paper perturbation & observation (P&O) and particle swarm optimization (PSO) algorithms were used to achieve the maximum power. Solar irradiance at three different regions of Egypt was measured using a new technique based on Arduino microcontroller. The obtained experimental results of the solar irradiance were inlaid to the MATLAB simulation program to study the performance of the proposed algorithms. Many improvements were carried out in P&O and PSO algorithms to harvest maximum power for long hours daily by a continuous modulation of the duty cycle. The output maximum power and the reaching time of both improved P&O and PSO are better than the traditional one and PV array, which indicates their efficiency in harvesting the maximum power and enhancing the performance of solar cell systems. The reinforcing of the PV system by P&O improved its efficiency by 98.733%, while PSO improved its efficiency by 99.968%.
Technical/economic/environmental optimal wind generation allocation in power systems Abdelhay, Zeinb; Eladl, Abdelfattah; Mansy, Ibrahim I.
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i1.pp431-441

Abstract

This paper proposes an optimization technique to find the optimal allocation of wind farms (WFs) in a transmission network considering several objectives associated with economic, losses, voltage profile, and environmental impact represented in the reduction of carbon emissions. The problem is solved on the basis of maintaining three constraints which are transmission line power limits, active/reactive power constrain, and bus voltage limits. The particle swarm optimization (PSO) algorithm and Newton-Raphson method for load flow analysis are utilized to solve the optimization problem as a whole. In this context, there are two wind turbines added to the transmission network and a matrix laboratory (MATLAB) has been devised to evaluate their performance with varying capacities at different locations in the system. The proposed approach has been validated on the modified IEEE 14-bus transmission system.
Hybrid-excited magnetic gear topology for improved gear efficiency at increasing rotor speed Halim, Mohd Firdaus Mohd Ab; Rahman, Azhan Ab; Yahaya, Muhammad Sharil; Sulaiman, Erwan
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i1.pp91-97

Abstract

Concentric magnetic gear (CMG) and rotating pole piece magnetic gear (RPMG) are two topologies that produce high torque density in magnetic gear (MG) for electrical machine. However, due to the eddy current loss, both suffer high losses when operated in high speed condition. Thus, to overcome this matter, a second flux source is proposed to the RPMG stator. This approach will then transform it into hybrid excited magnetic gear (HMG) topology to achieve higher gear efficiency. Three tooth slot designs were considered, and the outcome of these designs are summarized and ranked. The proposed structures are assessed using JMAG designer 2D finite element software in high speed condition. It is found that partially closed slot structure achieved the highest gear efficiency of 95.34% and average outer rotor torque of 115.64 N.m.
Performance monitoring as fault detection approach on AC power output of monocrystalline grid-connected photovoltaics system Muhammad, Nurmalessa; Zaid, Norsyafrina Abdul; Zainuddin, Hedzlin; Yunus, Puteri Nor Ashikin Megat
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i1.pp548-558

Abstract

As per the Malaysian sustainable energy development authority (SEDA), Malaysia has seen a significant growth in renewable energy thanks to the feed-in tariff (FiT) program. However, photovoltaic (PV) systems in tropical countries like Malaysia experience degradation due to technological factors and operating conditions. The effectiveness of PV systems is influenced by geographical location and weather conditions. This research study conducted a comparative analysis between the actual power output PAC_actual and the predicted power output PAC_expected, referred to as the acceptance ratio (AR). The study also assessed the yield and performance ratio (PR) of a PV system situated at the green energy research center (GERC) in Universiti Teknologi MARA, Malaysia. The actual monocrystalline grid-connected photovoltaic (GCPV) system versus predicted AC power and AR were monitored over a year, with MATLAB software used for simulating output power based on real data. According to the Malaysian Standard MS2692:2020, an AR value of 0.9 or higher is required for approval in testing and commissioning tests. The findings indicate that most AR graphs fall below this threshold, and the PR value for each month is below 0.75, suggesting a need for significant system overhaul.

Page 6 of 7 | Total Record : 63

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