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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 26 Documents
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Search results for , issue "Vol 14, No 1: March 2025" : 26 Documents clear
Analysis and simulation of 7-level and 9-level cascaded H-bridge multi-level inverters Banka, Sujatha; Sunil Kumar, Chava; Salkuti, Surender Reddy; Bhupathiraju, Sai Sruthi; Balakishan, Kasoju Pragathi; Chaturya, Paipoti Pooja; Namineni, Rishitha
International Journal of Applied Power Engineering (IJAPE) Vol 14, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v14.i1.pp11-22

Abstract

Multi-level inverters (MLIs) have created a new revolution in high-power and medium-voltage applications in industry and research. In recent years, cascaded multi-level inverters have gained significant interest due to their ability to generate high-quality output waveforms with reduced total harmonic distortion (THD). This paper discusses the analysis and simulation of 7-level and 9-level cascaded H-bridge multi-level inverters using mathematical models and simulation tools. The proposed research puts emphasis on evaluating the performance and control strategies of these inverters. The control strategies, including pulse width modulation (PWM) techniques, are discussed in depth, with a focus on their effect on output waveform quality and reduction of THD. The simulation results are compared to showcase the advantages offered by the cascaded multi-level inverters in terms of waveform quality. The findings demonstrate the superior performance and power quality advantages offered by these multi-level inverters compared to traditional two-level inverters. Additionally, a passive LC filter is designed and implemented along with a multi-level inverter configuration that helps to keep the THD within the limits specified by IEEE standards.
Enhancement LVRT capability of DFIG driven wind conversion system Laafou, Abdeslam Jabal; Madi, Abdessalam Ait; Moumani, Youssef; Essakhi, Hassan
International Journal of Applied Power Engineering (IJAPE) Vol 14, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v14.i1.pp224-234

Abstract

In this paper we present two techniques for protecting the doubly fed induction generator (DFIG) in the event of external disturbances on the electrical network, the crowbar circuit and series dynamic braking resistor (SDBR) techniques. During voltage dips, the first technique is triggered and short-circuits the rotor side converter (RSC) so as to maintain the rotor current within the desired limits. As a result, the DFIG behaves as an asynchronous cage generator that absorbs the reactive power coming from the voltage dip on the network which does not meet the grid code's (GC) requirements. The second technique makes it possible to limit overcurrent’s at the level of the stator and rotor of the DFIG, it will enable the wind power system to continue operating normally once the fault has disappeared and to stay connected to the network throughout the voltage dip. This SDBR technique presents a good compromise between its performance, its simplicity, its efficiency, and its implementation’s cost.
Optimization and management of solar and wind production for standalone microgrid: a Moroccan case study El Hafydy, Mohamed; Oubail, Youssef; Benydir, Mohamed; Elmahni, Lahoussine; Alaoui My Rachid, Elmoutawakil
International Journal of Applied Power Engineering (IJAPE) Vol 14, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v14.i1.pp202-211

Abstract

The increasing demand for sustainable and efficient energy solutions has prompted extensive research into optimizing renewable energy sources in microgrid systems. This paper focuses on optimizing renewable energy sources within a standalone microgrid using particle swarm optimization (PSO) as the sole algorithm. The microgrid model proposed integrates photovoltaic (PV), wind, battery storage, and serves a load represented by an agricultural firm. Real-world data from Agdz in Ouarzazate, Morocco, is utilized for analysis. The primary objective is to minimize excess production from PV and wind sources when the battery reaches full charge. This research addresses the increasing demand for sustainable energy solutions by emphasizing a single optimization technique, PSO, for achieving a balanced and efficient energy generation system. The study aims to closely align energy production with load demand to reduce wastage and ensure a reliable energy supply within the microgrid. The evaluation is conducted based on the ability of the PSO algorithm to diminish the gap between total energy production and load demand. The use of the PSO algorithm resulted in a 30% reduction in excess energy, effectively mitigating unnecessary energy wastage when the battery is fully charged. This outcome highlights the algorithm's capacity to adapt and optimize energy production from primary sources to precisely align with the specific requirements of the load
Metaheuristic algorithms for parameter estimation of DC servo motors with quantized sensor measurements Mishra, Debani Prasad; Behera, Sandip Ranjan; Dash, Arul Kumar; Ojha, Prajna Jeet; Salkuti, Surender Reddy
International Journal of Applied Power Engineering (IJAPE) Vol 14, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v14.i1.pp101-108

Abstract

Manufacturing, aviation, and robotics have increased servo motor use due to their precision, reliability, and adaptability in various applications. This study compares three metaheuristic techniques for servo motor model parameter estimation with sensor measurement quantization, focusing on their accuracy and efficiency. Armature resistance, back electromotive force (EMF) constant, torque constant, coil inductance, friction coefficient, and rotor-load inertia are crucial to servo motor behavior prediction, significantly impacting overall system performance. Each approach was rigorously tested and analyzed to evaluate its effectiveness in predicting servo motor characteristics. The results revealed that particle swarm optimization and the firefly algorithm delivered comparable performance, particularly excelling in scenarios where sensor measurement quantization introduced noise or imprecision in the data. These methods demonstrated strong resilience and accuracy under such challenging conditions. In contrast, the genetic algorithm did not perform as well, falling short when compared to the other two techniques in handling noisy or imprecise data, indicating its relative inefficiency in such environments. These findings give servo motor designers and engineers across industries a powerful tool for performance prediction.
Hysteresis current control for single-phase transformerless inverter Mohd Azhar, Aina Suhailah; Azri, Maaspaliza; Abd Halim, Wahidah; Talib, Md Hairul Nizam; Rasin, Zulhani; Mohammed, Mohd Fayzul
International Journal of Applied Power Engineering (IJAPE) Vol 14, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v14.i1.pp1-10

Abstract

The total harmonic distortion (THD) of grid current and leakage current are significant for transformerless inverters, as they impact power quality, efficiency, and compliance with grid codes. Monitoring and minimizing these currents ensure safe and reliable grid integration of photovoltaic (PV) systems while reducing electromagnetic interference. Therefore, in this paper, the analysis THD of grid current and leakage current is described. The bipolar pulse width modulation (BPWM) technology provides a stable common-mode voltage (200 V), fewer leakage currents (< 30 mA), and better system efficiency, compared to the unipolar pulse width modulation (UPWM) technique. To ensure the inverter complies with the IEC 61000-3-2 class C (THDi < 5%), the current control strategy should be considered during the design of the transformerless inverter. Therefore, this paper presents an implementation and evaluation of the bipolar hysteresis current control (BHCC) technique. In comparison to the BPWM technique, the BHCC technique delivers lower leakage current (0.007274 A), reduced grid current harmonic distortion (1.81%), and increased efficiency.
Fabrication of hydrogenated amorphous silicon-based solar cells using RF-PECVD Prayogi, Soni; Wibowo, Wahyu Kunto
International Journal of Applied Power Engineering (IJAPE) Vol 14, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v14.i1.pp173-179

Abstract

Thin-film solar cells made of hydrogenated amorphous silicon have succeeded in crystallization technologies as a less expensive alternative because of their straightforward design, sparse material requirements, low processing temperatures, and cheap manufacturing costs. A multi-chamber plasma-accelerated chemical vapor deposition apparatus driven by radio frequency was used to create the intrinsic and extrinsic layers of the a-Si: H solar cell. Multi-chamber allows us to upgrade each layer of the gadget utilizing a distinct space, preventing cross-contamination throughout the procedure. To enhance cell conversion efficiency, a thorough analysis has been conducted in this work to evaluate the manufacturing process and comprehend the link between process factors and property dependency. Our findings demonstrate an amorphous Si: H solar cell with a maximum cell efficiency of 6.52%, Voc 880 mV, Isc 11.33 mA/cm2, and FF 65%. We think that a modeling method followed by manufacturing can further enhance the performance of a-Si: H-based solar cell devices.
Optimizing microgrid designs towards net-zero emissions for smart cities: addressing energy disparities and access issues in Northern and North-eastern India Arunkumar, Albert Paul; Kuppusamy, Selvakumar
International Journal of Applied Power Engineering (IJAPE) Vol 14, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v14.i1.pp127-137

Abstract

Providing affordable and clean energy is a significant sub-sector of the Smart Cities Mission proposed by India. This research investigates the development of optimal microgrid designs for smart cities in northern and north-eastern India to address regional energy disparities and access issues. In the northern zone, characterized by uneven urban-rural infrastructure and high-power demand, microgrids offer localized, reliable solutions that reduce dependency on centralized systems and enhance energy efficiency. In the north-eastern zone, where geographical isolation and underdeveloped infrastructure hinder energy access, microgrids provide decentralized power generation and distribution, improving access in remote areas. The proposed microgrid designs aim to enhance energy reliability, efficiency, and accessibility by integrating renewable energy sources. The proposed system is analyzed for technical and economic feasibility based on critical factors such as cost of energy (COE), loss of power supply probability (LPSP), and the renewable fraction (RF). The renowned particle swarm optimization (PSO) algorithm is used to optimize the system size to achieve better performance in terms of technical and economic aspects. A proper energy management technique ensures the energy balance between the demand side and the distributed energy sources. A typical 24-hour household load profile is used for the optimization.
Performance analysis of seven level multilevel inverter for power quality improvement Priya, S. Nithya; Ramya, K. C.
International Journal of Applied Power Engineering (IJAPE) Vol 14, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v14.i1.pp46-54

Abstract

Power conversion systems for demanding applications requiring high power and power quality are increasingly using multi-level converters. Due to its many advantages, such as low harmonic content, low electromagnetic interference (EMI) output, and low power consumption in power switches, the multilayer inverter (MLI) topology is more commonly used in medium and high power applications. The chosen switching technique of the inverter for operation significantly contributes to the suppression of harmonic components while creating the optimal output voltage. A single-phase 7-level cascaded H-bridge multilevel inverter (CHB-MLI) with fewer switches and alternative control algorithms is available in MATLAB-based simulation on the SIMULINK platform. In this research, the total harmonic distortion (THD) of several control techniques is compared. From the simulation results, it was found that the proposed artificial neural network (ANN) controller outperforms the proportional-integral (PI) controller. With a lower THD value and a comparatively better sinusoidal waveform, the ANN controller produces an output voltage. It is also more suitable for improving the quality of electricity. The efficiency and performance of the proposed 7-level CHBMI system are demonstrated by the improved sinusoidal output waveform and reduced output voltage THD.
Organic solar cells: a study on material selection and fabrication precision Krishnakumar, Karthika; Grover, Ashish; Kumar, Pardeep; Patra, Asit
International Journal of Applied Power Engineering (IJAPE) Vol 14, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v14.i1.pp138-145

Abstract

The accelerating development of renewable energy technologies is imperative for addressing the problems of climate change and resource depletion. Solar energy, ideal for distributed power generation and more environmentally friendly, is integral to the progression of solar technology. Organic solar cells (OSCs) have become a key innovation in this domain, offering a promising alternative to traditional solar technologies. OSCs have received a lot of interest in the preceding years owing to their capacity to increase efficiency, affordability, and longevity. However, a dearth of research and development activities aimed at improving organic photovoltaic systems exists. This work details the laborious process of building a Bulk heterojunction (BHJ) OSC, describing the manufacturing stages and subsequent device characterization. OSCs were created in this work using three active layer materials: P3HT:PCBM, PTB7:PCBM, and PCDTBT:PCBM. The comparative analysis revealed significant efficiency disparities, with PCDTBT:PCBM exhibiting superior performance and electrical properties, while challenges were encountered with aged materials, emphasizing the relevance of meticulous material handling and the use of cutting-edge fabrication machinery in achieving efficient solar cell production.
An effective transformer less 7 level inverter with optimized PID and buck boost controller for grid-connected PV systems Rao, B. Mohan; Khan, Mohammad Haseeb; Mangu, B.
International Journal of Applied Power Engineering (IJAPE) Vol 14, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v14.i1.pp23-36

Abstract

This research paper presents an effective transformer-less seven-level inverter with an optimized proportional-integral-derivative (PID) controller and buck-boost controller for grid-connected photovoltaic (PV) systems. The proposed model aims to achieve optimum power quality (PQ) in a hybrid power system integrating battery and PV. This is accomplished by utilizing a unified power quality conditioner (UPQC-PQ) with active and reactive power is developed, utilizing a hybrid metaheuristic algorithm named the honey badger algorithm (HBA) along with the equilibrium optimization algorithm (EOA), referred to as the honey badger equilibrium optimization (HBEO) algorithm. The PID controller in the proposed model is optimized using the HBEO algorithm, resulting in a highly efficient hybrid renewable energy system. By incorporating a 7-level multilevel inverter model with minimal switch usage (only 5 switches instead of 12), the proposed model ensures minimal switching losses. The proposed model is implemented and verified through the MATLAB/Simulink platform.

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