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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 25 Documents
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Search results for , issue "Vol 13, No 3: September 2024" : 25 Documents clear
High speed BLDC motor for grid tied PV based EV system using hybrid PSO-spotted hyena optimized PI controller Prakash, S.; Boopathy, K.
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.pp768-782

Abstract

The rapid adoption of electric vehicle (EV) motors has recently raised numerous issues including high expensive, complex maintenance, and resonance problems. Some of the most effective and most thoroughly investigated EV motors are 3ф induction motors and DC motors. Brushless DC (BLDC) motors for EVs are a more advanced version of the solution used in developing nations. Rising time, steady state, transient, overshoot, settling time and other characteristics of the EV based BLDC motor are difficult to control. A loss of control leads to system instability and reduces the components' lifespan. Thereby, in this work, a grid incorporated PV fed EV based BLDC motor is proposed using DC-DC converter along with hybrid optimized PI controller. An innovative high gain Luo converter has been developed with the goal to deal with the fluctuating behavior of PV systems and it provides the impressive advantages of a high conversion range, reduced voltage stress and outstanding efficiency. To considerably improve the performance of the suggested converter, the reliable hybrid particle swarm-spotted hyena optimized (PS-SHO) proportional integral (PI) controller is invented for controlling the BLDC motor's speed. The grid supplies electricity to the BLDC motor when the PV-based power source isn't accessible. The simulation used to determine the efficacy of the proposed BLDC motor system in MATLAB has confirmed that the methodology provides increased efficacy with a highest efficiency of 97.3% and a lower total harmonic distortion (THD) of 2.02%.
A simple method for controlling buck-boost SEPIC H-bridge inverter Pratomo, Leonardus Heru; Paudel, Sushil; Cahyadi, Bagus Kusuma
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.pp670-678

Abstract

Over the past decade, much research and development has gone into the use of electric power converters, and the trend is upward. Inverters are employed when converting DC voltage to AC voltage. Typically, inverters perform functions such as voltage boost (to compensate for voltage decrease) or both voltage buck and boost. Other issues to consider include the structure of the inverter topology and the control method. Based on the problem, a study was conducted on a buck-boost inverter that integrates an H-bridge inverter and a single ended primary inductor converter (SEPIC). The H-bridge inverter is widely recognized for its simplicity of operation and always runs in buck mode. The SEPIC converter always runs in buck-boost mode. Since it is unipolar, it can operate as a buck or boost when combined with SEPIC AC-AC. The output voltage is significantly improved because it has several filters to enhance the signal. This hybrid topology is controlled by sinusoidal pulse width modulation, resulting in a straightforward control technique with outstanding performance. The H-bridge inverter operates in index modulation 0-100%, and the SEPIC converter more than 50%. In the lab, a computational and implementation procedure is used to test the effectiveness of the hybrid topology and control method under consideration. The test results show that the hybrid architecture can function within the desired parameters. The proposed inverter has 4.531% THD_V, 4.531% THD_I, and 97.85% efficiency under simulation.
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.
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.
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.
Implementation of fuzzy controller based active filter for harmonic mitigation of grid-connected PV-system Khandelwal, Achala; Joshi, Namra
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.pp539-545

Abstract

Incorporating photovoltaic (PV) systems to grids have developed into an obvious alternative for many countries, those results in harmonics issues for the utility operators. Harmonics arises due to extensive utilization of power-electronic components during incorporation of PV to grid. Harmonic deformation has traditionally been taken care of by the relevance of passive filter. Active filters have come up as an alternative choice over passive ones for reduction of harmonic due to existence of several advantages in comparison to previous filter. The application of controllers is the most significant aspect of using an active filter. Various investigations are beneath development to progress performance of the filters. Control of capacitor voltage is among the major regulation requirement for the filter. Here, regulation of voltage is carried on by fuzzy-controller. The article represents compensation of harmonic currents of a grid integrated PV-system by application of fuzzy-controller placed active filter. One of the important control requirements of filter is the regulation of DC link up capacitor voltage. Here the voltage supervision of capacitor is being done using PI controller. The paper shows current harmonics compensation of PV grid connected system using PI controller based active filter. Simulating results are revealed that shows the harmonics are contained inside IEEE limits.
Efficiency enhancement in hybrid renewable energy system using polycrystalline silicon cell Kumar, Mugachintala Dilip; Himabindu, D.; Kumar, Yarrem Narasimhulu Vijaya; Mohana, Thota; Shashank, Ramagiri; Rajanna, Bodapati Venkata
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.pp679-686

Abstract

Accessing the unelectrified rural population is currently not possible through grid expansion, as connectivity is neither economically viable nor encouraged by large companies. Additionally, conventional energy options, such as broom-based systems, are being gradually phased out of rural development programs because to growing oil prices and the unbearable effects of this energy source on consumers and the environment. A hybrid generator using solar and wind can solve this issue. Proven hybrid systems are the best choice for delivering high-quality power. Nowadays, hybrid renewable energy systems are becoming popular. The power system provides electricity to remote and isolated areas. Villages and residents in the forest area had their electricity cut off due to the forest environment. While creating a renewable energy source near the load. Solar power and wind power are renewable sources, solar power works in the morning and wind can make morning and night time to synchronize both output voltage and frequency to provide provides the ability to charge continuously, without interruption. The main objective of the project is to provide mixed renewable energy without interruption.
Digital pseudo-random modulation: a key to EMI reduction in EVS boost converters M'barki, Zakaria; Salih, Ali Ait; Mejdoub, Youssef; Rhazi, Kaoutar Senhaji
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.pp594-602

Abstract

Pseudo-random position pulse modulation (RPPM) technique can be implemented either analogically using pseudo-random binary sequences (PRBS) to generate a pulse-width modulation (PWM) control signal or digitally through an Arduino Uno board. It plays a critical role in mitigating conducted electromagnetic emissions (EMI) in boost converters dedicated to electric vehicle systems (EVS) applications. The digital implementation offers a significant advantage by enabling a substantial widening of the frequency spectrum of the control signal. This expanded spectral range results in a noticeable reduction in emitted electromagnetic interference (EMI), making the digital method the preferred choice. The increased spectral bandwidth effectively mitigates EMI, which is particularly advantageous for EMI-sensitive EVS systems. In conclusion, the digital pseudo-random modulation approach, facilitated by Arduino Uno, proves to be more effective in reducing EMI in EVS boost converters. Its capability to broaden the control signal's frequency spectrum leads to a favorable reduction in emitted EMI, ultimately enhancing electromagnetic compatibility and overall system performance. 
Control of a stand-alone variable speed wind turbine generator system Sunil Kumar, Chava; Banka, Sujatha; Chandini, Shaik; Vaishnavi, Jakkoju; Himabindu, Gorla; Meghana, Gudibandi
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.pp727-736

Abstract

The focus of the work is on optimizing the wind power system to generate high-quality power from renewable energy sources. This article describes how to control a stand-alone PMSG wind turbine system using perturb and observe (P&O) maximum power point tracking (MPPT) controller. This aids in the regulation of output voltage levels and the maximum power provided to the load. The present study employs P&O MPPT control algorithm to optimize energy extraction from the wind resource, while simultaneously ensuring a stable voltage throughout the load. The goal of MPPT approaches is to establish a reference speed so that the wind energy conversion system (WECS) control system can follow the MPPT trajectory. The MPPT controllers can keep the system running smoothly irrespective of the wind speed fluctuations. There is a significant power output improvement over conventional controllers when using the proposed MPPT controller, according to the comparison results. The DC-DC boost converter was implemented for enhancing the low AC voltage given by the permanent magnet synchronous generator (PMSG).
Enhancing solar power generation through AC power prediction optimization in solar plants Krishnan, G. Hari; Thrinath, B. V. Sai; Reddy, M. Ramprasad; Sudhakar, Thukkaram
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.pp645-652

Abstract

As the world embraces sustainable energy solutions, the accurate prediction of AC power generation in solar power plants becomes imperative for efficient energy management. This research endeavors to address this critical need through a meticulous exploration of five distinctive predictive algorithms: linear regression, gradient boosting, neural networks, support vector regression (SVR), and ensemble techniques. Leveraging a merged dataset comprising environmental parameters like ambient and module temperatures, irradiation, and historical yield, our study embarks on a comprehensive evaluation journey. The essence of this endeavor lies in the recognition that renewable energy sources, particularly solar power, are instrumental in mitigating environmental concerns associated with traditional energy generation. To unleash the full potential of solar power, a nuanced understanding of predictive methodologies is indispensable. Linear regression serves as a cornerstone, validating its foundational role. However, the crux of innovation lies in the advanced algorithms – gradient boosting, neural networks, SVR, and ensemble methods – each striving to optimize prediction accuracy. A novelty of this research stems from its holistic approach to predictive modelling. By meticulously comparing the performance of multiple algorithms, we uncover insights that transcend mere theoretical applications. Our findings assume significance in the context of renewable energy's societal impact.

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