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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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Energy storage participation for frequency regulation of microgrid in PV-dominated power system Singh, Nirdesh; Jain, Dinesh Kumar
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.pp109-117

Abstract

The frequency stability of a power grid is effectively managed through the inertia and power reserves supplied by synchronous generators. Due to increasing concerns about the greenhouse effect and global warming, renewable energy sources (or microgrids) are increasingly replacing traditional fossil fuel-based methods of electricity generation. As microgrid deployment proliferates, power systems' inherent complexity and non-linear dynamics have escalated, rendering conventional controllers inadequate across diverse operating conditions. Factors such as reduced energy inertia, heightened penetration of renewable energy sources, and significant power fluctuations within confined transmission systems have heightened the vulnerability of microgrid frequencies to instability. This paper elucidates the concept of microgrids, examines frequency fluctuations in the presence of solar and diesel generators alongside load variations, and presents simulation-based analyses. Moreover, it provides a succinct overview of frequency control methodologies. Validation outcomes demonstrate the efficacy of the proposed controller in maintaining system frequency amidst fluctuating load demands and renewable energy inputs.
An optimal energy management strategy for a stand-alone PV/wind/battery hybrid energy system Zebraoui, Otmane; Bouzi, Mostafa; Nasiri, Badr
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.pp212-223

Abstract

This paper presents an optimization study of a stand-alone hybrid energy system that includes a photovoltaic energy generator, a wind energy generator, and lithium-ion storage batteries. In the proposed system architecture, solar, and wind sources are utilized as the primary power generators, while batteries serve as a secondary storage to ensure system autonomy across varying weather conditions. The aim is to improve system performance through an optimal energy management strategy that addresses operational constraints and electrical load needs while managing energy flow between sources and controlling the storage system. To manage energy flow between sources and load, an intelligent approach using a hierarchical algorithm is proposed to configure the optimal operating mode based on the power from both sources, load power, and battery state of charge. Additionally, a controller is developed to manage battery operating modes, ensuring state of charge (SOC) limits and maintaining a constant direct current (DC) bus voltage. Under varying operating conditions, the simulation results show the efficiency of the proposed management strategy in maintaining the power balance between supply and demand, providing a stable and continuous power supply, and keeping the batteries SOC within its limits and the DC bus voltage at its reference value.
DTC analysis of DCMLI driven PMSM-SVM drive Shriwastava, Rakesh G.; Pokle, Pravin B.; Mendhe, Ajay M.; Dhote, Nitin; Rewatkar, Rajendra M.; Mapari, Rahul; Dhunde, Ranjit; Bhagat Patil, Hemant R.; Pawase, Ramesh
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.pp235-243

Abstract

The paper focuses on a comparative analysis of direct torque control (DTC) space vector modulation (SVM) based permanent magnet synchronous motor (PMSM) drive. This comparative analysis is based on a conventional inverter and a 3-level dual-cell modular multilevel inverter (DCMLI) using the SVM technique using MATLAB simulation. The present DTC-PMSM drive consists of flux and torque hysteresis comparators and has a problem of switching frequency and torque ripple. The problems are solved by using SVM to provide more inverter voltage and it compensates for torque and flux error in a DTC. A reference voltage space vector is calculated every time using the algorithm on the basic of torque error and stator flux angle. It was proposed to control torque, torque angle, and stator flux in DTC-PMSM. From the detailed comparison, the DTC-DCMLI PMSM drive has an exact solution of problem-solving of switching frequency and torque ripple due to less distorted output. Proposed drives can be applicable for hardware implementation in automotive applications.
Innovation of control valve motorization method for regulating turbine rotation in micro hydro generators Hardi, Supri; Safitri, Nelly; Yaman, Yaman; Radhiah, Radhiah; Jamaluddin, Jamaluddin
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.pp90-100

Abstract

The method of transferring the main load to the dummy load is still used in micro hydropower plants. Because the turbine and generator are constantly operating at maximum capacity, the load transfer system, also known as the electronic load control (ELC) system, is ineffective and inefficient. The researcher devised a method for controlling the pressure/flow rate on the branch pipe by using a control valve motorized (CVM). Control valve motorized (CVM) is responsible for the opening and closing of branch pipelines using an electric motor. The goal is to achieve voltage and frequency stability by using CVM to adjust the flow/pressure of water in the branch pipe. The method involves designing and testing the CVM system via a Pelton turbine module connected to the generator. The results of testing the Pelton turbine module with a pressure of 4 kg/cm2 on a 34-inch pipe show that the turbine rotates at 800 rpm. Brushless direct current (BLDC) generator with 12 poles and a Pelton turbine. The proportional integral derivative (PID) controller control parameters are calculated by the control system using the Nichols-Ziggler method, with tuning results of PB 130%, Ti 2.8 seconds, and Td 0.7 seconds. A frequency of 50 Hz and a voltage of 61 volts is produced by controlling the set point (SP) at 55% of the process variable (PV) and the manipulated variable (MV) to CVM at 38%, respectively. The conditions are implemented by varying the load on the system by connecting and disconnecting the load; the system remains stable for 5 seconds.
Multi-objective hunter prey optimizer technique for distributed generation placement Duraisamy, Kesavan; Ponnuru, Sudhakiran; Deglus, Jovin; Arulprakasam, Sakthidasan; Palanisamy, Rajakumar; Peter, Raja Soosaimarian
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.pp146-154

Abstract

Accommodation of distributed generation (DG) units in the distribution power network (DPN) reduces the power losses (PL), improves the voltage profile (VP), and enhances the stability. The size and site for distribution generations have to be optimized to avail favorable results. Otherwise, the DPN may experience greater power losses, higher voltage deviation, and voltage instability issues. This article implements an optimization technique using a hunter-prey optimizer (HPO) algorithm to optimize single and multiple (two) DG units in the radial DPN to minimize total real power losses (RPL) and total voltage deviation (TVD). The effectiveness of the HPO algorithm is assessed on the IEEE benchmark 69-bus radial DPN and a real-world Cairo-59 bus RDS. The simulation outcome after the optimized inclusion of DGs shown significant RPL reduction and considerable voltage enhancement. Furthermore, the optimized results of HPO algorithm were compared to the different algorithms and the comparison proved that the HPO can provide a more promising and authentic outcome than other algorithms.
A novel fast MPPT strategy with high efficiency for fast changing irradiance in PV systems Anjappa, Pujari; Gowd, K. Jithendra
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.pp163-172

Abstract

This paper discusses about the photovoltaic (PV) system novel non-iterative maximum power point tracking algorithm with faster converging speed under varying solar irradiation level. PV system is a scattered renewable energy resource and a safe environmental energy source. However, the PV power oscillates around MPP value due to the fluctuations of temperature and insolation effects, leading to nonlinear maximum power tracking issues. For each change in atmospheric condition, output of the PV system changes necessitating the need to search for new maximum power conditions. An efficient maximum power point tracking (MPPT) device that improves the power transmitting efficiency along with a suitable high frequency direct current (DC) to DC power converter device are required for efficient operation. Finally, a comparison is made between existing MPPT algorithms and proposed novel non-iterative MPPT algorithm. The proposed MPPT system show that the overall tracking speed of the proposed MPPT is 5.6 times, 3.8 times faster than perturb and observe (P&O) method and INC method respectively. During the variation of irradiance, the power loss is reduced by 18.84% and 11.29% in comparison with P&O and INC method. The proposed method also minimizes the steady state oscillations.
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.

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