International Journal of Applied Power Engineering (IJAPE)
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.
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<![CDATA[A new step-up DC-DC converter topology using switched inductor and switched capacitor networks for high negative DC voltage applications ]]>
<![CDATA[Clement Raj, A.]]>;
<![CDATA[Bensraj, Ramaiyan]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 13, No 3: September 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v13.i3.pp554-570
<![CDATA[This study presents a novel topology for a high-gain Cuk converter without isolation, leveraging switched-inductor (SL) and switched-capacitor (SC) networks tailored for renewable energy sources. Unlike traditional Cuk converters that perform negative-to-positive boost DC-DC voltage conversion, this innovative design offers a significantly enhanced voltage-boosting capacity. They evolve from the conventional Cuk converter by integrating an SL instead of the singular inductor and substituting the energy-transferring capacitor with an SC. The standout benefits of the modified Cuk converters include a remarkable voltage conversion ratio and minimized voltage stress on the primary switch, allowing a low-voltage-rated switch for greater efficiency. Comparatively, the proposed designs surpass the classical Cuk and a few modified Cuk converters in voltage gain and reduced switch voltage stress. The converter also avoids the need for transformers or coupled inductors, resulting in minimized volume, loss, and expense. The converters' operation in continuous conduction mode is rigorously analyzed in this study. After deriving all the relevant equations, they are validated against outcomes. The proposed Cuk converter topology was simulated using the MATLAB/Simulink tool, and the findings are deliberated. The performance of the proposed converter is compared with the other converters, and the proposed converter's superiority is proved through the obtained results.]]>
<![CDATA[Arduino based stepper motor speed regulation for robotics applications ]]>
<![CDATA[Sreejyothi, Khammampati R.]]>;
<![CDATA[Chenchireddy, Kalagotla]]>;
<![CDATA[Srujana, Abbagoni]]>;
<![CDATA[Nagaraju, Dharavath]]>;
<![CDATA[Ramcharan, Golluri]]>;
<![CDATA[Raghu, Dhunnapothula]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 13, No 3: September 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v13.i3.pp695-702
<![CDATA[This paper presents a stepper motor drive using the hybrid two-phase model. The stepper motor changes the pulse signals into angular displacement with some angles. Stepper motors are used to control the speed and are also more reliable for smooth operations. The stepper motor provides constant holding torque with controlled speed ranges from 0 to 6000 range. The closed-loop control technique with park transformation is used to control the speed torque variables in a design range. The simulation and hardware results were discussed in MATLAB\Simulink software. The verified simulation results are motor source voltage, motor source current, motor speed, and torque. The hardware results are also implemented in this paper, the implemented circuit by using Arduino microcontroller.]]>
<![CDATA[Coupled inductor interleaved boost converter with ANN and RNN based MPPT algorithm for PV system ]]>
<![CDATA[Kavin, K. S.]]>;
<![CDATA[Karuvelam, P. Subha]]>;
<![CDATA[Kumar, Naresh]]>;
<![CDATA[Kar, Siddheswar]]>;
<![CDATA[Rahiman, Riyaz A.]]>;
<![CDATA[Patwa, Sharda]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 13, No 3: September 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v13.i3.pp616-627
<![CDATA[An efficient machine learning approach for accomplishing the maximum power point tracking (MPPT) system for photovoltaic (PV) systems is proposed in this work. PV system is one of the most suitable renewable energy sources (RES) for electric vehicles (EV) based operations due to its ubiquitous availability and speed of installation. The deployment of PV-powered EVs reduces the quantity of carbon dioxide emitted into the atmosphere substantially. The primary objective of this research is to integrate a PV system with an EV load and to provide a constant power supply to the EV load with no distortions. A coupled inductor interleaved boost converter is used to raise voltage level of the PV because it has a wide conversions range with low leakage reaction times. Furthermore, the converter produces a consistent output with no fluctuations and high voltage gain. With the application of artificial neural network (ANN) based MPPT and recurrent neural network (RNN) based MPPT, the converter operational performance enhanced with steady dc link voltage is obtained. Consequently, it is stated that the employment of ANN and RNN-based MPPT controllers in PV-based systems offers improved DC link voltage regulation and lower power losses, thereby boosting system effectiveness. The MATLAB platform is used to test every component of the system's performance, and the findings show that the proposed system is more efficient than alternative approaches.]]>
<![CDATA[A new algorithm is employed for the efficient allocation of distributed generation resources ]]>
<![CDATA[Kumar, Elipilli Anil]]>;
<![CDATA[Mudavath, Gopichand Naik]]>;
<![CDATA[Narasimhulu, Tamminana]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 13, No 3: September 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v13.i3.pp521-529
<![CDATA[The bat algorithm (BA) has emerged as a promising meta-heuristic approach, demonstrating its efficiency in tackling diverse optimization problems across the areas such as engineering design, issues with economic load dispatch, power and energy systems, image processing, and medicinal applications. Due to its potential to increase grid resilience, decrease greenhouse gas emissions, and increase energy efficiency, the incorporation of distributed generation (DG) into contemporary power systems has drawn a lot of interest. This paper presents technique for the optimal allocation of DG units, aiming to address existing challenges and improve the overall performance of the power system. The proposed BA technique combines advanced optimization algorithms with comprehensive power system modelling to identify the optimal locations and capacities for DG installation. Key factors are taken into account to formulate a multi-objective optimization problem that includes minimizing power losses, enhancing voltage stability, and minimizing the environmental impact while considering economic feasibility. The algorithm is applied on standard IEEE 33 and 69 bus systems as test cases and a result has been discussed.]]>
<![CDATA[Maximizing energy efficiency in drones through accurate state of charge estimation using extended Kalman filter ]]>
<![CDATA[Anoune, Kamal]]>;
<![CDATA[Maliki, Anas El]]>;
<![CDATA[Belkasmi, Merouan]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 13, No 3: September 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v13.i3.pp755-767
<![CDATA[This paper delves into the critical aspect of managing energy consumption in drone operations to achieve the utmost range and ensure accurate state of charge (SoC) estimation. Effective energy management is pivotal in determining the operational range of drones, allowing for longer distances and heavier payloads. The integration of precise energy estimation algorithms into operational planning extends the range of drones, facilitating swift, environmentally-conscious missions for sustainable and efficient logistics solutions. The paper introduces a mathematical model to understand energy consumption and battery behavior in drones, utilizing the hybrid pulse power characterization test and recursive least square with forgetting factor for parameter identification. To overcome the limitations of linear filters, the paper employs the accurate extended Kalman filter (EKF) in the nonlinear filter section. The EKF significantly enhances the battery management system by furnishing precise SoC data. The study evaluates two SoC estimation techniques: SoC-AH (ampere-hours) and SoC_EKF, using root mean square error for comparison. The SoC_EKF technique demonstrates higher accuracy, boasting a lower errors value of 0.78%, thus making it superior for precise drone battery SoC estimation. These findings contribute to the improved performance, reliability, and overall safety of drones.]]>
<![CDATA[Enhancing power quality in a smart grid using dynamic voltage restorer ]]>
<![CDATA[Jothi, Thangavel]]>;
<![CDATA[Arun, Manoharan]]>;
<![CDATA[Varadarajan, Murugesan]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 13, No 3: September 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v13.i3.pp661-669
<![CDATA[Hybrid smart grids which depend on renewable energy have substantial challenges to their reliability and efficiency due to power quality issues. However, the performance and dependability of the system might be impacted by power quality concerns caused by the intermittent nature of renewable energy sources and the presence of nonlinear and unbalanced loads. This study suggests that a hybrid renewable energy-based smart grid can improve power quality by using a dynamic voltage restorer (DVR), a flexible alternating current transmission system device. The goal is to improve voltage stability, reduce voltage spikes and harmonic distortion, and provide a clean power supply. This study's primary contributions are the design and execution of the cascaded H-bridge DVR topology, the development of a modified synchronous reference frame-based controller and a thorough examination of the performance of the integrated DVR system. Total harmonic distortion and voltage regulation are two power quality metrics used to evaluate the effectiveness of the suggested technique in MATLAB simulations.]]>
<![CDATA[Multiport bidirectional converter for solar fed hybrid electric vehicle using switched reluctance motor drive ]]>
<![CDATA[Kollati, Sivaprasad]]>;
<![CDATA[Gudey, Satish Kumar]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 13, No 3: September 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v13.i3.pp571-582
<![CDATA[For use in solar-assisted hybrid electric vehicle applications, a multiport bidirectional switched reluctance motor (SRM) drive is suggested in this research. Since the photovoltaic (PV) system's output voltage is low and insufficient to reach the necessary voltage level, a high gain KY converter is used to increase the PV output. The 8/6 SRM receives the steady converter output via the (n+1) diode (n+1) converter architecture with the help of the proportional integral (PI) controller. A PI controller regulates the SRM's speed. A bidirectional battery converter connects the battery, which is attached to the DC bus, to the extra power from the PV. A PI controller manages the bidirectional battery converter's operations. When necessary, the battery transfers the excess energy from the PV to the SRM drive. The outcomes demonstrate that, when examined using MATLAB simulation, the recommended methodology functions well.]]>
<![CDATA[Charge sharing scheme for electric vehicles based on battery monitoring ]]>
<![CDATA[Vijayan, Abhilash T.]]>;
<![CDATA[Dev, Jothish V.]]>;
<![CDATA[Henry, Healsa]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 13, No 3: September 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v13.i3.pp703-714
<![CDATA[The demand for electric vehicles (EVs) is rising due to the environmental impact of zero emission, high efficiency, and a deterioration in the levels of conventional fuels. Initial expense, the range, the time for charging and the availability of charging stations narrows their popularity. Alternately, smart approaches like vehicle-to-home (V2H), vehicle-to-vehicle (V2V), and vehicle-to-grid (V2G) charging schemes can modify this situation and shape the grid-side load curves. Vehicles in need can utilize V2V, where the transfer of charge between electric vehicles ensures the transit up to the nearby charging stations. There are wired and wireless modes in V2V topology. When equipped with the required switchgear, wireless power transfer (WPT) between electric vehicles offers great possibilities in charge sharing. A wireless charging system gives EV owner’s freedom of easy charging without waiting in a queue. This paper compares the performance and utilities of wired scheme and wireless scheme for power transfer between vehicles. Both the strategies check the state of charge (SoC) of the batteries and facilitate the power transfer. Simulations in MATLAB/Simulink and experimental results validate the proposed schemes.]]>
<![CDATA[Estimation of solar energy based on solar angles: cities of Iraq case study ]]>
<![CDATA[Mohamed-Abdulhussein, Munther]]>;
<![CDATA[Mohd-Mokhtar, Rosmiwati]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 13, No 3: September 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v13.i3.pp628-636
<![CDATA[In this paper, a model was designed to estimate the amount of solar energy based on solar radiation angles. The model was applied to five Iraqi cities (Baghdad, Basrah, Nineveh, Dyala, and Anbar). The amount of solar energy reaching the globe's surface is analyzed through its application. Data from NASA was relied upon for implementation and comparison. The main objective of the research is to find a reliable and low-cost method by which to know the amount of solar energy in the study area to promote sustainable energy. The results were compared with the data available from NASA, and a satisfactory agreement was found based on some statistical processes that prove the validity of the proposed model. Through the results, it is possible to rely on the proposed model to predict the amount of solar energy reaching the study area and to implement solar energy projects.]]>
<![CDATA[AHP based technical, economic and environmental impact analysis with optimal DG placement in radial distribution network ]]>
<![CDATA[Tanwar, Surender Singh]]>;
<![CDATA[Prajapat, Ganesh Prasad]]>;
<![CDATA[Rathod, Ravindra]]>;
<![CDATA[Bansal, Sanjay Kumar]]>;
<![CDATA[Sisodia, Sukhlal]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 13, No 3: September 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v13.i3.pp530-538
<![CDATA[This manuscript considers multi-criteria based multi-objective approach with technical, economic and environmental indices (TEE) for optimal placement and sizing of distributed generation (DG) units in the distribution network. Technical criteria include indices of active energy losses, voltage deviation; whereas economic criteria include the index of cost of DG installation, and environmental index considers the various greenhouse gas (GHG) emissions from generating unit’s and biomass DG. Combined sensitivity analysis is applied for sorting the candidate nodes for DG placement and reducing the search space. Multi-criteria decision-making among TEE factors are addressed using a scientific approach named Analytic Hierarchy process (AHP) approach. The impact of prioritized solutions is analyzed in terms of three scenarios formed using AHP in the form of TEE criterion. The developed formulation is tested on IEEE 33-bus bus radial distribution system and is solved using hybrid optimization approach (hybrid GA-PSO) and AHP based scenarios performed better than base case scenario (non-prioritized scenario).]]>
