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International Journal of Power Electronics and Drive Systems (IJPEDS)
ISSN : -     EISSN : 20888694     DOI : -
Core Subject : 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.
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Articles 61 Documents
Search results for , issue "Vol 13, No 4: December 2022" : 61 Documents clear
Power oscillation damping control using PI-neuron network controller for distributed generator grid connection with MVDC Kittaya Somsai; Nakarin Sripanya; Chaiyut Sumpavakup
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i4.pp2541-2554

Abstract

Distributed generator (DG) connection to the system with the DC grid called medium voltage direct current (MVDC) grid connection has received attention and gradually integrated into the distribution grid. The linear controller, such as the PI controller, usually uses the MVDC grid control for power oscillation damping. The PI controller is limited and does not show satisfactory results when the load and parameters of the system itself are changed. This paper proposes the PI with neuron network (NN) as a feed-forward controller (PINNF) to improve the control of the DG grid connection with the MVDC. The proposed PINNF controller is applied to control the power oscillation damping. Since the NN can estimate the proper feed-forward control signals in each situation to the control system, the proposed PINNF controller performs better than the conventional PI controller. The effectiveness of the proposed PINNF controller is validated using nonlinear dynamic simulations on the MATLAB/Simulink program. Four case tests are presented and discussed in this paper. Results indicate the improvement of power oscillation damping stability and performance in the MVDC grid connection with the proposed PINNF controller.
Maximum power point tracking of photovoltaic array using fuzzy logic control Djaafar Toumi; Djilani Benattous; Ahmed Ibrahim; Bedida Tarek; Messaoud Zobeidi; Khelaifa Fethi; Hicham Serhoud; Yacine Labbi; Raef Aboelsaud; Sergey Obukhov; Mohamed Tayeb Boussabeur
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i4.pp2440-2449

Abstract

This research introduces the simulation of photovoltaic (PV) array to track the peak point (MPPT) using fuzzy logic control. Therefore, real time simulation is performed in MATLAB/Simulink based on a PV model, boost converter and fuzzy logic-based tracker. A comparative study is carried out against perturb and observe (P&O) controller. The fuzzy logic technique based tracker can successfully track the maximum power point very fast and has precise control when compared to the P&O algorithm. The overall we conclude that the MPPT using the fuzzy logic technique takes a fast response and can improve the performance of the PV system.
Electric vehicles: a review of their components and technologies Ahmed Abd El Baset Abd El Halim; Ehab Hassan Eid Bayoumi; Walid El-Khattam; Amr Mohamed Ibrahim
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i4.pp2041-2061

Abstract

The number of electrical vehicles (EVs) on the road has increased in recent years, including battery-electric vehicles (BEV), hybrid-electric vehicles (HEV), plug-in hybrid-electric vehicles (PHEVs), and fuel-cell electric vehicles (FCEV). This mode of transportation is expected to eventually replace internal combustion engine (ICE) vehicles, based on current trends. Each key EV component integrates several technologies that are either currently in use or have the potential to become prominent in the future. Environmental, power systems, and other industries may be adversely affected by electric vehicles (EVs). With sufficient EV penetration, the current power system could be subjected to severe instabilities; nevertheless, with proper management and coordination, EVs can significantly contribute to the success of the smart grid concept. Moreover, EVs have the potential to significantly cut transportation-related emissions of greenhouse gases. However, there are still considerable barriers that EVs must overcome before they can completely replace ICEs. The purpose of this study is to review all the relevant information available on EV architectures, battery energy sources, charging processes, and control approaches. Its goal is to provide a comprehensive overview of current EV technology.
A new innovative current controller for selective harmonic compensation using active power filters in a microgrid with renewable energy source Mohammad Firoozian; Seyyed Hossein Hosseinian; Mehrdad Abedi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i4.pp2396-2404

Abstract

In this paper, a novel current controller for selective compensation with active power filter (APF) in a microgrid (MG) is proposed. Power generation with sinusoidal voltage and high quality is essential in the microgrid. Hence, a current control-based method for shunt active power filters aiming to compensate the selective harmonic is proposed. Also, voltage source converter is used in the APF to improve MG power quality. Using the suggested control method can reduce total harmonic distortion (THD). The obtained results from the MATLAB simulations proved the superior of our method than other methods to decrease the current harmonic in a microgrid to an admissible area. Additionally, the practical results obtained from the implementation of the proposed control approach on an actual microgrid confirm the efficacy of the proposed method.
Various PSO methods investigation in renewable and nonrenewable sources Madhumathi Periasamy; Thenmalar Kaliannan; Shobana Selvaraj; Veerasundaram Manickam; Sheela Androse Joseph; Johny Renoald Albert
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i4.pp2498-2505

Abstract

Optimization structures are mostly considered for resolving multi-objective difficulties similar to cost, emission, and financial load dispatch in various energy sources. Non-renewable energy sources (NRES) emit harmful gases like CO2, and methane. which results in air pollutants, so various techniques are used in survey papers. By considering optimization techniques, the multi-objective problems are reduced in renewable energy sources (RES) and NRES. Implementing these techniques in RES and NRES will define the proper objective function. Hybrid algorithms are used for solving multi-objective problems like cost, pollutant emission, price penalty factor, valve point, ramp rates, and constraints like generator, power flow, power balance, and heat balance. A fuzzy system is used in numerous surveys for controlling purpose, superiority, and efficiency over other controllers. Subsequently summarized three types of sources like RES, RES-NRES, and NRES for easy identification of techniques and problems. This study reviews various techniques and mathematical modeling of algorithms for future research.
Improved space vector modulation algorithm of 5-level three-phase z-source based cascaded inverter Ahfouda Abdelkarim; Bekakra Youcef; Laid Zellouma; Djaafar Toumi; Ahmed Ibrahim; Raef Aboelsaud
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i4.pp2286-2295

Abstract

The integration of a Z-source network with a 5-Level three-phase inverter based cascaded to provide voltage step-up function is proposed in this paper. The system is controlling by an improved space vector modulation (SVM) the implantation of algorithm and innovative virtual automated solutions can be considered, very fast and very simple. The main objective of the proposed system is to achieve an output voltage twice the applied input voltage, and to eliminate the largest amount of excess harmonic. This proposed model is characterized by the ease of boosting the output voltage twice the input voltage, depending on the characteristics of the Z-source network without the need for a DC-DC rectifier. Furthermore, the proposed algorithm for this system is characterized by improving the output voltage and eliminating a large number of harmonics while greatly simplifying the calculations compared to its conventional SVM. This makes the proposed system and its algorithm an interesting alternative to classical systems and algorithms. The simulation was processed using MATLAB/Simulink. The results obtained prove and verify the effectiveness of the proposed system. From the results, of the output current total harmonic distortion (THD), it was reduced to 1.05% which is very low compared to the other algorithms in the literature.
Torque ripple alleviation of a five-phase permanent magnet synchronous motor using predictive torque control method Saif Talal Bahar; Riyadh G. Omar
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i4.pp2207-2215

Abstract

The benefits of a five-phase permanent magnet synchronous motor (five-phase-PMSM) are its compact size, high fault tolerance, low voltage, and high output. The drives of this kind of machines can be enhanced using model predictive torque control (MP-DTC) technique. The outcomes of this technique with additional weighting factors are reduces the complexity of calculation, and reduction in current harmonics, which present in harmonic subspace in standard model predictive torque control. Decrease the low-order harmonic constituents of stator currents and alleviation torque ripple can be achieved by optimizing the objective function. Adding current limitations and switching frequency-weighting factor improves the cost function. The suggested technique can provide superior steady-state performance and keep the quick transient performing as a possible characteristic of the MP-DTC scheme. Thus, with the advantageous steady state and dynamic performing obtained concurrently, the most important aspects of the suggested system are the reduced mathematical burden, and with simplified objective functions compared to classic MP-DTC structure. The proposed method reduced the torque ripple from (3.49%) in a traditional method to (0.58%).
Assessment of renewable energy sources to generate electricity for remote areas, South Iraq Ali Hadi Kother; Zaidoon Waleed AL-Shammari Waleed Jawad; Safaa Kother; Ihsan Ahmed Taha; Hussam Almukhtar; Muhammad Mokhzaini Azizan; Ahmad Shukri Fazil Rahman; Khairunnisa Hasikin
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i4.pp2378-2385

Abstract

With the rising need for utilizing renewable energy instead of traditional energies in electricity generation across the world, a broad assessment of these energies' performance is required to make the most of them everywhere. This paper looks at the techno-economics of renewable energy resources for a distant health clinic in a rural location of southern Iraq. Cost, dependability, and availability are the parameters that were considered in this study, which took into consider the power load in this scenario. Because of its efficacy, the particle swarm optimization (PSO) technique was chosen for the suggested study. Results showed that the respective optimal values for number of photovoltaics (NPV) equal to (10), number of wind turbines (NWT) equal to (5), and number of batteries (NBT) of (33), cost of energy (COE) of (0.518 US$/kWh), loss power supply probability (LPSP) of (0.073%), reliability (REL) of (99.927%) and renewable factors (RF) of (100%) with (66 %) solar energy penetration, and (34%) wind energy penetration. Finally, it was discovered that implementing a hybrid renewable energy system (HRES) is an effective way to address the electrical demands of remote rural regions in Iraq and other developing countries with similar climates.
Control for induction motor drives using predictive model stator currents and speeds control Vo Thanh Ha; Pham Thi Giang
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i4.pp2005-2013

Abstract

This paper is presented for designing a new controller using the predictive model current and speed control method for the asynchronous motor. This control method is based on traditional predictive controller development to have a cascade structure similar to the rotor flux control (field-oriented control) and direct torque control (DTC). Therefore, this control method will have two control loops. Both inner and outer loop controllers use predictive power. The outer ring is speed control, while the internal circle is stator current control. The inner loop is based on the finite control set – model predictive control (FCS-MPC), while the outer ring to take full advantage of the high dynamic response of the inner circle uses the deadbeat MPC. MATLAB simulation results show that this control method has performance equivalent to traditional controllers while minimizing overshoot and having fast, on-demand response times.
The low-cost remote steering control using the dc motor with feedback position Tanawat Chalardsakul; Viroch Sukontanakarn; Chotnarin Piriyasilpa
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i4.pp2024-2032

Abstract

The research proposed the design and installation of the DC motor with a feedback position used to control the steering direction of a rice-planting machine here will be converted into driverless robots. The MATLAB/Simulink software is used to simulate and measure signal drive from the servo controller board to obtain results that can be used to drive BTS 7960 motor driver module for the DC motor with feedback position. The SkyDroid T10 is used to remote control of steering direction of rice-planting machines and the mechanism to drive all robots. The results of test results of the robot spraying chemicals in rice fields were excellent. The operator can remotely control the robot through the camera from the mobile phone. The chemicals can be sprayed quickly, and the chemicals are distributed evenly and evenly into the ground.

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