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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
A non-invasive technique for monitoring supply voltage variation to single phase induction motor using doppler UWB radar signal analysis Barusu, Madhusudhana Reddy; Rani, Nalubolu Geetha; Reddy, Yeramareddy Venkata Siva; Reddy, Gongati Pandu Ranga
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.pp35-44

Abstract

The induction motors (IMs) are important components of various industries. The condition of IMs monitored continuously using contact and non-contact methods continuously. The contact methods are expensive, complex and difficult to implement. This paper proposes a non-contact method of fault identification in the single-phase induction motor operating in different conditions by analyzing doppler ultra-wide band (UWB) radar signal. The UWB radar generates a high frequency signal, which is transmitted on to the Induction motor form transmitter and software phase locked loop (SPLL) condition received signal from the receiver. The PLL implements as low pass filter, receives reflected signal from an induction motor along with high frequency noise. The received signal filtered to remove the high frequency noise and filtered output is analyzed to identify the different faults such as over voltage faults and under voltage faults when the motor is running with high, medium and low speed. The proposed non-invasive method has advantages compared to other such as the sensor’s sensitivity will not affect with motor temperature and accuracy will not change with position of the sensor and presence of other machines.
Assessing the utilization of palm oil mill effluent in photovoltaic and biogas hybrid energy system for off-grid village Hiendro, Ayong; Husin, Fitriah; Junaidi, Junaidi; Khwee, Kho Hie
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.pp454-465

Abstract

The increasing demand for electricity, high prices, and lack of fossil fuels are forcing local community to look for renewable energy sources. Villages in palm oil mills have large volumes of biomass waste, especially palm oil mill effluent (POME), which causes environmental and health issues. This study proposed a hybrid renewable energy system consisting of solar photovoltaic (PV) and biogas to provide sustainable electrification for an off-grid village. To minimize the environmental impact and availability of the applied technology, the PV panels were incorporated with a biogas-fueled generator. Simulation experiments were carried out using the HOMER software for an average daily demand of about 159.65 kWh/day and a peak load of 20 kW. The investigation was emphasized to find the optimal PV/biogas system to serve the village community considering electrical, economical, and environmental aspects. Subsequently, a standalone biogas system was used as the base case. The proposed configuration consisted of a biodigester, a biogas-fueled generator, PV panels, an inverter, and batteries with 8.5 hours of autonomy to produce electricity of around 67,216 kWh/year. The results demonstrated the technical and economic feasibility, as well as the environmental benefits of a PV/biogas system for generating electricity for the off-grid village community.
Optimum active power tracking based control of brushless doubly-fed reluctance generator tied to renewable microgrid Parida, Adikanda; Paul, Manish
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.pp422-430

Abstract

Among all the existing wind energy generators (WEG), a brushless doubly-fed reluctance generator (BDFRG) is the better option in terms of maintenance cost and constructional simplicity. For more adaptability, the efficiency of the BDFRG can be improved through proper control mechanisms. Therefore, this paper presents an optimum active power tracking-based control technique for BDFRG for minimum losses. Copper loss of the machine is considered to be the objective function for the proposed optimization technique. However, one issue found to be the major in all the existing controllers is the accuracy of sensor less control of the BDFRG. Therefore, this paper proposes an accurate model reference adaptive system (MRAS) based sensor less mechanism for computation of BDFRG secondary winding flux position. The no sensitivity of the proposed technique to the machine parameter variation and hence the accuracy, catch-on-fly, and non-inclusion of integrator and differentiators and hence less burden on the processor makes the proposed scheme robust. The control scheme is practically implemented with a 2.5 kW BDFRG using MATLAB/Simulink platform.

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