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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.
Arjuna Subject : -
Articles 2,660 Documents
An optimized off-grid hybrid system for power generation in rural areas Ahmad Sakhrieh; Jamil Al Asfar; Nour Abu Shuaib
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp865-872

Abstract

Stand-alone hybrid power generation system for a cow farm in Jordan is economically and technically optimized to meet the daily electrical load of the farm. A combination of photovoltaics, biogas generators, diesel generators, wind turbines, and batteries are used to determine the best scenario for the farm's power generation. In accordance with the price and technical data of the components, the systems were first studied technically and economically, and then simulated using hybrid optimization model for multiple energy resources (HOMER) software to identify the best configuration. Several options were analyzed to determine the best configuration. The optimized hybrid system includes photovoltaics, a biogas generator, batteries, and a diesel generator. The optimum configuration had a levelized cost of energy of $0.06 per kWh and a net present cost of $2,100,000. The renewable fraction of the total system electrical yearly production was 94%. Furthermore, the results showed that the optimized hybrid system could reduce the emitted gasses by about 92%.
An algorithm to extract the maximum power from the PV-based generation systems under non-uniform weather Issam A. Smadi; Ahmad AL-Ramaden
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp1129-1139

Abstract

This paper presents a fast and simple algorithm to extract the maximum power under non-uniform weather from the photovoltaic (PV) based generation systems. The proposed algorithm’s three stages are the scanning stage, the tracking stage, the detecting and avoiding the hidden points stage. The hidden points are caused by a transition between the global maximum power point (GMPP) and a local maximum power point (LMPP) when the partial shading conditions (PSCs) are changed. This transition cannot be observed by monitoring only the power difference of the PV generation system. Simulation results with comparisons to other algorithms developed for global maximum power point tracking (GMPPT) under PSCs are provided to clarify and show the effectiveness of the proposed GMPPT algorithm. The average tracking speed of the proposed algorithm is two times faster than the compared MPPT algorithms, with about 2% more power generated with no additional cost. Moreover, the proposed GMPPT algorithm is implemented in real-time using National Instruments (NI) CompactRIO in field-programmable gate array (FPGA) mode to confirm the applicability of the proposed work.
Appropriateness analysis of implementing a smart grid system in campus buildings using the fuzzy method Dina Maizana; Syarifah Muthia Putri
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp873-882

Abstract

The smart building campus is still being studied by researchers until now. Given the importance of meeting key performance indicators on smart campuses. Medan Area University is a campus that uses a smart grid system to solve energy management problems. With the position of the Medan Area University being in an area that has the potential to utilize photovoltaic (PV) solar renewable energy sources. With the designation of Google Earth data, the average sunlight intensity in the campus area is 4,528 KWh/m2. The design of the smart grid system is carried out by making solar PV solar as the main source and 4 computers as loads. The fuzzy method was chosen in the smart grid system simulation that has been designed because the fuzzy method can provide decisions in the intersection area. To facilitate analysis The MATLAB program is used to assist in the simulation. So that the output can show results that are close to real conditions. Based on 144 hours of data that has been entered into the fuzzy method, the output shows the results are appropriate to be implemented.
Microcontroller based dual energy Moringa leaf dryer design and development Saifuddin Muhammad Jalil; Husaini Husaini; Rizal Munadi; Ira Devi Sara
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp1075-1081

Abstract

This paper presents the design and development of an automatic dual energy solar powered Moringa dryer used to remove moisture. Moringa leaves are circulated by hot air evenly in a cylindrical mesh of aluminum mesh which rotates at 20 revolutions per minute through which hot air is passed to extract moisture from the leaves. The Arduino Uno or Atmega32 microcontroller works in conjunction with appropriate sensors to monitor and control humidity, moisture content, motor speed, room temperature, heater, and fan. Based on the moisture content in the Moringa leaves, the sensor sends a control signal to the controller. The results showed a good response in removing the initial moisture content from 18.5% to the final moisture content to 4% of green leaves without changing the nutritional value. Qualitative analysis showed that traditional drying, namely open drying, drying Moringa leaves each for 3 days in 12 hours with a final moisture content of 7%, while double solar drying only takes 3 days in 12 hours with a final moisture content of 4%, and produce better quality Moringa leaves. High efficiency in the drying process of Moringa leaves compared to traditional drying, where this tool can dry Moringa leaves faster by 3%.
Optimal sizing of a solar water pumping system for Koyli Alpha Village, Senegal Badara Mbow; Amy Sadio; Bertrand Tchanche Fankam; Senghane Mbodji
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp1158-1169

Abstract

Our objective is to solve problems of water supply in the village of Koyli Alpha, in Senegal. Theirs boreholes are supplied by diesel fuels causing environmental drawbacks and the populations don’t satisfy their water demand. In order to bring a positive response, we used solar energy to give back the borehole’s autonomous and proposed intuitive and numerical methods applying on solar water pumping for finding the best method. A previous study used intuitive methods for determining the size of various components. In order to optimize the energy production, we propose two numerical sizing approaches in order to have an optimal operation. Then, we developed two solar cell temperature models in the numerical sizing method and did a simulation of system operating in MATLAB software. The first model of solar cell temperature depends only on the ambient temperature and the second one combines wind speed and ambient temperature. The results of simulation showed that among these numerical sizing methods, we choose the second solar cell temperature expression, which gives the best performance. The numerical sizing method which uses the second solar cell temperature model yields to the reduction of battery’s size and the total life cycle cost found in the intuitive method, by 54% and 32%, respectively.
Simulation model of unity power factor uninterruptible power supply topology using single-phase matrix converter Muhammad Shawwal Mohamad Rawi; Rahimi Baharom; Nur Hidayah Abdullah
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp969-979

Abstract

This paper presents a computer simulation model of the unity power factor uninterruptible power supply (UPS) topology using single-phase matrix converter (SPMC) that focuses on the switching integration for both rectifier and inverter operations. The proposed integrated switches capable of controlling the SPMC to operate as a rectifier operation to charge the DC battery during the normal operation and to switch the SPMC to operate as an inverter during power outage conditions continuously and instantaneously using a single power converter circuit. The use of a single power converter circuit can solve the typical UPS system that requires at least two separate power converter circuits, thus contributing to the higher power semiconductor losses and complicated control circuits. With the proposed circuit topology, it can improve the power density of the power electronics converter system resulting in low power losses. The active power filter (APF) function has been used to improve the supply current waveform to follow the shape of the sinusoidal reference current to be in phase with the supply voltage waveform, thus reduce the total harmonic distortion (THD) level and improve the power factor. To verify the proposed operation, the selected simulation results are presented, and the proposed work has been done through the MATLAB/Simulink.
Realization of an dimmable electronic ballast for a discharge lamps fed by an LSCSCP circuit and a PFC stage Marref Mohammed Amine; Hamdaoui Habib; Seyf Eddine Bechekir
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp643-656

Abstract

This paper presents an electronic ballast for discharge lamps. The ballast consists of two stages: i) a boost-buck chopper that performs the power factor correction and provides an approximately variable DC link voltage to drive the second stage and ii) a half-bridge MOSFET inverter with an improved series-parallel inductor-capacitor-inductor (LsCpLp) resonant circuit to drive the high-frequency discharge lamp. The electronic ballast designed here is a multi-purpose ballast which was experimentally tested for high-pressure sodium discharge lamps 150 W and metal halide lamps 150 W. It was revealed that this mode of operation makes it possible to vary and dim the light of the lamp and to improve the quality of the power supply while reducing the harmonic currents in networks.
Comparison between matrix and back-to-back converter in flywheel energy storage systems Nguyen Hung Do; Sy Manh Ho; Quoc Tuan Le; Tung Hoang; Trong Minh Tran; Phuong Vu
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp744-754

Abstract

Flywheel energy storage systems (FESS) are considered as the grid integration of renewable energy sources due to their buit-in advantages such as fast response, long cycle life and flexibility in providing auxiliary services to the grid, such as frequency regulation, and voltage support. This paper introduces the structure and comparison results of matrix converter and back-to-back converter which integrated with axial flux permanent magnet motor (AFPM) in FESS. Two converters are functionally equivalent in terms of input power quality and energy regeneration capabilities but need to be compared in terms of performance testing with speed response. In this paper, the research results have been verified that matrix converters perform more effective than back-to-back converters.
Joule heating estimation of photovoltaic module through cells temperature measurement Erkata Yandri; Naoto Hagino
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp1119-1128

Abstract

Module temperature has a role in determining a PV module's performance. The purpose of this paper is to estimate the Joule heating in a photovoltaic (PV) module by comparing during PV-On (electricity generation) and PV-Off (without electricity generation). Joule heating was less evaluated due to simplifying formulation, which is easier to implement in experimental observation as proposed in this work. The experiment collected the temperature distributions of the PV module during PV-On and PV-Off. PV module temperature distribution follows the normal distribution curve as the irradiation uniformity pattern of the solar simulator has a slight ≤0.3 oC difference between PV-On and PV-Off. Joule heating slightly increased the PV module temperature by 0.53 K/A, proportional to the irradiances. Joule heating has increased almost seven times from 2.65 W at 700 W/m2 to 18.07 W at 1000 W/m2. Joule heating might slightly increase the overall thermal conductivity and slightly decrease the thermal resistances. It might affect the heat transfer. This research may improve the procedures prediction of PV or photovoltaic-thermal (PVT) collector temperature by considering Joule heating.
Non-parametric induction motor rotor flux estimator based on feed-forward neural network Siti Nursyuhada Mahsahirun; Nik Rumzi Nik Idris; Zulkifli Md. Yusof; Tole Sutikno
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp1229-1237

Abstract

The conventional induction motor rotor flux observer based on current model and voltage model are sensitive to parameter uncertainties. In this paper, a non-parametric induction motor rotor flux estimator based on feed-forward neural network is proposed. This estimator is operating without motor parameters and therefore it is independent from parameter uncertainties. The model is trained using Levenberg-Marquardt algorithm offline. All the data collection, training and testing process are fully performed in MATLAB/Simulink environment. A forced iteration of 1,000-epochs is imposed in the training process. There are overall 603,968 datasets are used in this modeling process. This four-input two-output neural network model is capable of providing rotor flux estimation for field-oriented control systems with 3.41e-9 mse and elapsed 28 minutes 49 seconds training time consumption. This proposed model is tested with reference speed step response and parameters uncertainties. The result indicates that the proposed estimator improves voltage model and current model rotor flux observers for parameters uncertainties.

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