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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 61 Documents
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Search results for , issue "Vol 13, No 2: June 2022" : 61 Documents clear
Photovoltaic emulator using error adjustment fuzzy logic proportional-integral controller Razman Ayop; Chee Wei Tan; Shahrin Md Ayob; Nik Din Muhamad; Jasrul Jamani Jamian; Zulkarnain Ahmad Noorden
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.pp1111-1118

Abstract

The photovoltaic (PV) technology has been increasingly used in our energy generation. Therefore, it is essential to have a good PV testing facility during the development process. The PV emulator (PVE) is a voltage or current source that mimic the current-voltage characteristic as a PV module that requires proper control strategy to work. The resistance feedback method (RFM) control strategy has many good attributes, except the transient response, which is caused by the proportional-integral (PI) controller. This paper proposed a new fuzzy logic PI (FLPI) controller to improve the transient performance of the RFM PVE. It is based on the error adjustment method that founded on the transient state and load of the PVE. The performance of the proposed PVE is compared with the original PVE that used RFM with the PI controller. The finding of the research shows that the transient performance of the proposed PVE has improved 2.3 times compared to the original PVE without affecting its accuracy.
Analysis of dust on the parameters of PV module and design of an effective solar dust cleaner Arjyadhara Pradhan; Babita Panda; Lipika Nanda; Chitralekha Jena
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.pp900-907

Abstract

Photovoltaic panel output is affected by various factors like solar isolation, temperature, dust, shading, mounting. Among all these factors dust is a prominent factor which greatly reduces panel efficiency. With increase in the quantity of dust both efficiency and power output of the module reduces. As the mass of dust deposition increases, power output and the efficiency of the module decreases. Dust particles are of different shapes and sizes. PV panels installed on ground or roof top are subjected to dust all the time. The amount and type of dust deposition depends on tilt angle, locations, surroundings nearby, rainfall pattern of that area, maintenance method of the installer. PV plant nearby any industry giving out lot of fumes and smokes will have heavy dust deposition over its top surface. Similarly, PV plants located near areas where roads are not concrete can cause dust deposition on its panels. Manual maintenance is labor costing and less efficient. In this work we have performed dust analysis on the performance of PV panel and designed an effective method to clean the panel and make it dust free. Solar dust cleaner and cooler system provides a solution for both dusts cleaning and keeping the panels at less temperature.
Intelligent maximum power point tracker enhanced by sliding mode control Hussain Attia; Ahmad Elkhateb
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.pp1037-1046

Abstract

In solar photovoltaic systems applications, the maximum power point tracker has been involved for different purposes to support their performance. The maximum power point tracking (MPPT) works on growing the obtained electricity from the solar photovoltaic energy and consequently increases the quantity of the delivered electrical power from the photovoltaic (PV) system. Relying on this point, this paper introduces an intelligent tracker to guarantee the MPP working condition for a small size 150 W stand-alone PV system. In this study, an intelligent algorithm is proposed to have a fast and accurate tracker. Moreover, a robust sliding mode controller is inserted for improving the performance of a direct current (DC-DC) boost converter. The converter is working in a continuous conduction mode operation to enhances the MPP tracker. Simulink of MATLAB is adopted to implement the system. The results of the simulated tracker are evaluated comparatively based on the artificial neural network (ANN) algorithm with and without inserting the sliding mode (SM) controller for different light intensity trends and levels. Simulation results analyzed and confirmed the effectiveness of the proposed tracker.
Modeling of wind turbine based on dual DFIG generators Rabiaa Mahroug; Mohamed Matallah; Salam Abudura
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.pp1170-1185

Abstract

In order to investigate a viable approach to fully exploit the wind speed, the present work investigates the application of a novel wind turbine consisting of dual doubly-fed induction generators (DFIG). The model can be further used to apply in areas where the winds are high to achieve high conversion efficiency in order to produce large electric power and increase the wind turbine capacity with an economy of hardware on the one hand, and to reduce the installation cost on the other. Furthermore, this model is always guarantees the continuity of power production because if one generator fails, the second generator will keep working until the broken one is repaired. The proposed model of the wind turbine based on dual doubly-fed induction generators (WT-dual-DFIG) were using the indirect field-oriented control (IFOC) was validated by wind turbine based on single doubly-fed induction generator (WT-single-DFIG) in MATLAB/Simulink. The results of simulation show that the simulated responses of the WT-dual-DFIG increased the power by a factor of about 14.3% compared to a WT-single-DFIG due to the use of a variable speed dual-DFIG. Finally, we can say that the WT-dual-DFIG model is strongly developed and could be applied in the coming years.
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.

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