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International Journal of Applied Power Engineering (IJAPE)
Published by Institute of Advanced Engineering and Science
ISSN : 22528792     EISSN : 27222624     DOI : -
Core Subject : Engineering,
Electrical & Electronics Engineering
International Journal of Applied Power Engineering (IJAPE) focuses on the applied works in the areas of power generation, transmission and distribution, sustainable energy, applications of power control in large power systems, etc. The main objective of IJAPE is to bring out the latest practices in research in the above mentioned areas for efficient and cost effective operations of power systems. The journal covers, but not limited to, the following scope: electric power generation, transmission and distribution, energy conversion, electrical machinery, sustainable energy, insulation, solar energy, high-power semiconductors, power quality, power economic, FACTS, renewable energy, electromagnetic compatibility, electrical engineering materials, high voltage insulation technologies, high voltage apparatuses, lightning, protection system, power system analysis, SCADA, and electrical measurements.
Arjuna Subject : -
Articles 530 Documents
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Real-time monitoring and data acquisition using LoRa for a remote solar powered oil well Chidolue, Onyinyechukwu; Iqbal, Tariq
International Journal of Applied Power Engineering (IJAPE) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v13.i1.pp201-212

Abstract

Real-time monitoring is essential for solar-powered systems as they can be affected by sudden environmental changes, which may occur unpredictably, especially in isolated regions. This study proposes a wireless communication-based approach that allows for data acquisition and system monitoring of the entire solar system of a remote oil well. The proposed instrumentation method offers an affordable solution for monitoring the battery voltage, photovoltaic (PV) current, the converter's alternating current (AC), and oil well management. A wireless communication tool for a long-range called LoRa is used, with the TTGO LoRa32 SX1276 organic light-emitting diode (OLED) as the sender node and Heltec long range (LoRa) ESP 32 as the transmitter node. These I.C.s are ESP32 development boards with an integrated LoRa chip and an SSD1306 flash memory. System design and some test results are included in the paper.
Transformation and future trends of smart grid using machine and deep learning: a state-of-the-art review Fahim, Khairul Eahsun; Islam, Md. Rakibul; Shihab, Nahid Ahmed; Rahman Olvi, Maria; Labib Al Jonayed, Khondaker; Das, Adri Shankar
International Journal of Applied Power Engineering (IJAPE) Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v13.i3.pp583-593

Abstract

A smart grid is a cutting-edge energy system designed to take over old-fashioned energy infrastructure in the twenty-first century. With comprehensive communication and computation capabilities, its primary objective is to increase energy distribution's dependability and efficiency while minimizing unfavorable effects. A number of approaches are needed for effective analysis and well-informed decision-making due to the massive infrastructure and integrated network of communications of the smart grid. In this study, we examine the architectural elements of the smart grid as well as the uses and methods using machine learning (ML) and deep learning (DL) with regard to the smart grid. We also clarify present research limitations and propose future directions for machine learning-driven data analytics. In order to improve the stability, reliability, security, efficiency, and responsiveness of the smart grid, this paper examines the implementation of several machine learning methodologies. This paper also covers some of the difficulties in putting machine learning solutions for smart grids into practice.
PM flux-reversal machine for wind energy application Bharathi, Manne; Prasanth, I. S. N. V. R.; Devi, Tellapati Anuradha; Kumar, Malligunta Kiran; Kumar, D. Ravi; Reddy, Ch. Rami
International Journal of Applied Power Engineering (IJAPE) Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v13.i4.pp909-919

Abstract

Currently, attempts are being made to harness wind energy by means of non-conventional electrical machines such as flux reversal machines (FRM). The main advantage of the FRM, when compared with existing synchronous generators (SG), is that all the active parts like PMs and armature windings are mounted on the stator part, whereas leaving the rotor has simple and robust. In this study, the three-phase 6/8-pole flux reversal generators (FRGs) are selected, sized, designed, and analyzed using finite element analysis (FEA). The working principle, choice of stator and rotor poles, and machine design dimensions evaluation (analytical sizing procedure), as well as relevant performance details are discussed in this paper. This study is used to analyze, a popular 6/8 pole, 0.8 kW, 50 Hz, and examine the suitability for the wind energy applications in terms of torque and power density, torque ripple, power factor, and cogging torque under 2D finite element analysis (FEA). The analysis provides an update on the current state-of-the-art and as well as future thrust areas of research necessary to bridge the gap on what is still desired for the practical application of FRMs for wind energy.
ANFIS-based optimisation for achieving the maximum torque per ampere in induction motor drive with conventional PI Rao, Gurrala Madhusudhana; Karthik, Mamidala Vijay; Kumar, Annavarapu Ananda; Kumar, Chava Sunil; Parameshwar, Tummeti; Bindu, Abbaraju Hima
International Journal of Applied Power Engineering (IJAPE) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v13.i2.pp320-327

Abstract

This research presents an innovative approach to controlling the speed of an induction motor drive by utilizing a combination of neural networks and fuzzy inference systems (ANFIS). The study focuses on computing the rotor's magnetic flux while considering different overshoot and settling criteria for torque and motor speed. The goal is to optimize torque per ampere and generate the necessary torque. The proposed ANFIS-based torque-per-ampere control technique offers a distinctive method applicable to a static induction motor model. This method allows for an increase in stator current while maintaining flexibility and individuality in motor control strategies. It compares various motor vector control methods, specifically focusing on strategies to reduce torque ripple. These strategies include adaptive ANFIS, fuzzy logic control (FLC), and proportional-integral (PI) control. The research highlights the effectiveness of an adaptive ANFIS controller in achieving the most significant reduction in torque ripple within the induction motor system. This proposed problem identification sets the stage for exploring and developing solutions to enhance the performance and efficiency of induction motor drives.
Reliability oriented performance evaluation of PV inverter with bifacial panels considering albedos Sambu, Srikanth; Nayak, Byamakesh
International Journal of Applied Power Engineering (IJAPE) Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v13.i4.pp815-824

Abstract

The recent advancements in the solar photovoltaic technology is bifacial panels. These panels are capable of producing higher energy than their conventional panels by capturing from both front and rear sides. By harvesting solar energy from both the front and rare surfaces of the panels, the load on the inverters can increase. This affects its reliability performance. Nevertheless, inverter is reported as the critical component in the photovoltaic (PV) system. Hence this work presents reliability-oriented performance evaluation of PV inverter with bifacial panels is proposed. A 3-kilowatt photovoltaic system has been considered with yearly mission profile data at Hyderabad, India. This evaluation is carried out under various albedos. Finally, a comparison between monofacial and bifacial PV panel are presented. The results show that the albedo significantly impacts the lifetime of a PV inverter and therefore, the albedo should be considered when designing a bifacial panel's inverter.
A novel SIMIDCBC topology driven PMSM for PEV application Kumar, Chinta Anil; Jothinathan, Kandasamy; Rao, Lingineni Shanmukha
International Journal of Applied Power Engineering (IJAPE) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v13.i1.pp66-80

Abstract

Nowadays, the usage of renewable energy based electric vehicles is increased for reducing CO2 emissions, usage of fossil fuels, energy saving, and transportation cost. As a result, it becomes the most significantly run with combined energy sources and it is good choice which minimizes the energy consumption from charging stations. The available renewable energy is integrated to power-train through power-electronic interface; such interface consists of three-phase inverter with DC-DC boost converter. The combined energy sources like solar-PV/battery are integrated to power-train by employing multi-input non-isolated step-up DC-DC converter for providing continuous power to drive the vehicle. The multi-terminal topologies have efficient, reliable performance, continuous input current, high step-up gain over the conventional DC-DC converters. In this work, a unique framework of combined energy powered switched-inductor based multi-input DC boost converter topology has been proposed to drive the PMSM. The performance of proposed SIMIDCBC topology driven PMSM for PEV application under constant and variable speed conditions are verified by using MATLAB/Simulink tool, simulation results are presented.
Performance evaluation of solar-PV integrated hybrid fuzzy-logic controlled multi-functional UPQC for enhancing PQ features Rao, Lingineni Shanmukha; Mogilicharla, Veera Narasimha Murthy; Sharma, Pidatala Prabhakara; Rajkumar, Prathipati
International Journal of Applied Power Engineering (IJAPE) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v13.i2.pp396-407

Abstract

To improve distribution system voltage and current quality, a newly built solar-PV system connected multi-functional universal power quality compensator (MFUPQC) has been extensively used. The proposed MFUPQC mitigates both load and source-side concerns in a three-phase distribution system. Furthermore, as part of the distributed generation scheme, active power from solar PV is injected into the grid or source when solar PV is available. In this context, the proposed MFUPQC was tested in both PQ enhancement and DG integration modes using a feasible control scheme. The proportional-integral controller is used for shunt- voltage-source inverter (VSI) DC-link control, which is not suitable for regulating DC-link voltage at the desired level due to incorrect gain value selection. In this work, an intelligent hybrid-fuzzy-logic DC-link control of MFUPQC evidences the intelligent knowledge base for better regulation of power-quality issues. The suggested hybrid fuzzy-logic controlled MFUPQC device's performance for both power quality (PQ) improvement and DG integration is validated using the MATLAB/Simulink software tool, and simulation results are provided with an appealing comparison analysis.
An Adaline model predictive control strategy based DSTATCOM for power quality enhancement Sahu, Gokulananda; Panigrahi, Rakhee; Patjoshi, Rajesh Kumar; Kolluru, Venkata Ratnam
International Journal of Applied Power Engineering (IJAPE) Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v13.i3.pp715-726

Abstract

This paper represents a least mean square (LMS) built Adaline current estimator in conjunction with model predictive control (MPC) approach (Adaline-MPC) employed for distribution-static-compensator (DSTATCOM) to enrich power quality within power distribution network. The real fundamental frequency components of load currents are estimated via LMS-built Adaline adopting instantaneous weight computation and reference currents are further formed by means of multiplying these weights with unit vector templates. A proportional-integral (PI) controller is engaged in support of continual maintenance of DC-capacitor voltage. Moreover, the switching signals of voltage source converter (VSC) are created via applying MPC wherein source currents should track the reference currents, which is derived from Adaline current estimator. Both MATLAB based simulation and Opal-RT based real-time experimental outcomes are demonstrated and the effectiveness of the proposed Adaline-MPC based DSTATCOM towards power quality improvement has been verified.
Revolutionizing domestic solar power systems with IoT-enabled Blockchain technology Jhunjhunwalla, Drishana; Mishra, Debani Prasad; Hembram, Dashmat; Salkuti, Surender Reddy
International Journal of Applied Power Engineering (IJAPE) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v13.i1.pp255-262

Abstract

Solar power systems in homes have become the need of the hour due to the crisis of fossil fuels. Also, it is a useful way of rural electrification and cutting down on running electricity costs. This paper discusses a 26-kW solar power system for powering homes along with IoT-based monitoring. The proposed system is expected to be low in cost and highly efficient. The system can also be used as a battery backup without solar power. The emergence of Blockchain technology is poised to revolutionize the sharing of information by providing a means of building trust in decentralized settings without the reliance on intermediaries. This technological breakthrough has the potential to transform several industries, including the internet of things (IoT). In addition to Blockchain, IoT has also been able to address some of its limitations by utilizing innovative technologies like big data and cloud computing. For security, Blockchain as a decentralized application will be used. Each block typically contains the transaction data, and power consumption data which can’t be tampered with even if changing all subsequent blocks, which is expensive to do so.
Load shedding in islanded microgrid using fuzzy linear programming Maroko, Josiah Teyah; Murage, David K.; Hinga, Peterson Kinyua
International Journal of Applied Power Engineering (IJAPE) Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v13.i3.pp637-644

Abstract

The primary goal of any power microgrid is to provide consumers with reliable power. This becomes a challenge with the continued growth of population which necessitates a corresponding rise in power supply. However, this continued rise in power consumption with a limited power supply can result in voltage collapse and ultimately power outage. In times of severe disturbances in an islanded microgrid (IMG), load-shedding (LS) helps to avert the occurrence of a blackout. The IMG is usually supplied by distributed generations (DGs) which have low inertia or inertia less. Thus, when in islanded mode power imbalance is usually solved by performing optimal LS to prevent the system from plunging into a total blackout. This paper presents a hybrid method which is a combination of fuzzy and linear programming algorithm for optimal LS in IMG. The developed method is centered on power generation, load demand and power prioritization. The fuzzy linear programming (FLP) algorithm is tested on the IEEE 14 bus system. The simulation results show that the proposed algorithm is effective in shedding optimal loads to ensure equilibrium is restored and frequency is within set values of 50 Hz.

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