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[Artificial neural network-optimized bridgeless Landsman converter for enhanced power factor correction in electric vehicle applications ]]>
<![CDATA[Rao, Podila Purna Chandra]]>;
<![CDATA[Anandhakumar, Radhakrishnan]]>;
<![CDATA[Muni, T. Vijay]]>;
<![CDATA[Rao, L. Shanmukha]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 15, No 1: March 2026 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v15.i1.pp238-247
<![CDATA[Electric vehicles (EVs) are gaining popularity globally due to their energy-efficient battery storage systems, low carbon emissions, and eco-friendly operation. By transforming both the transportation and electrical sectors, EVs could create a synergistic relationship that reduces fossil fuel use and improves renewable energy integration. However, this convergence emphasizes the necessity for appropriate power factor correction (PFC) methods, especially in EV battery charging systems, to alleviate supply-end PQ concerns. Use of a bridgeless Landsman converter (BLC), noted for its efficiency and link voltage monitoring, is innovative in this research. A proportional-integral (PI) controller tuned by an artificial neural network (ANN) improves prediction and classification, especially response time. The ANN-based PI controller optimises system performance in real time using adaptive control. Using a hysteresis controller attached to a pulse width modulation (PWM) generator regulates the converter's steady-state switching frequency for accurate and consistent output. The proposed approach reduces harmonic distortions and improves operating efficiency. This comprehensive architecture improves power factor and addresses significant PQ concerns in EV charging infrastructure. Integrating improved control tactics and converter design shows that this approach may support electric car technology developments. MATLAB simulations show that power factor correction (PFC) charges EV batteries quickly and effectively. Findings suggest the technique could increase power quality, system efficiency, and EV uptake.]]>
<![CDATA[A novel 9-level fourfold-boost switched capacitor inverter (N9L-FBSCI) configuration utilizing fewer components and optimized active switches ]]>
<![CDATA[Subhashchandrabose, N.]]>;
<![CDATA[Kumaraswamy, I.]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 15, No 1: March 2026 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v15.i1.pp132-140
<![CDATA[Multilevel inverter (MLI) topologies are more important in high-voltage applications where the most common design tends to have significant disadvantages, including being very component when it comes to the switch voltage stress, control scheme, and also not self-voltage balanced. These problems lead to higher cost, lower efficiency, and lower reliability. This paper will therefore develop a new nine-level fourfold-boost switched capacitor inverter (N9L-FBSCI) without increasing the number of components but ensures greater voltage gains and ease of use. It uses only one DC source, eight active switches, and two capacitors with a self-balancing mechanism of the voltage, avoiding extra balancing of the voltage. A four fold voltage gain is achieved using fewer switching devices per stage and less blocking voltage to control across switches. An efficient control is achieved by a level-shifted phase disposition PWM (LS-PDPWM) technique. Analytical and comparative testing against recent MLI design proves that the topology proposed has better voltage boosting and efficiency using the least number of components. Simulation and experimental verification prove the practical efficiency of the N9L-FBSCI, which can achieve a 400 V peak output with low total harmonic distortion. The topology has a high potential in renewable and industrial fields with cost effective high performance. Experimental and simulation data support an output voltage of 400 V at an output load current of 2 A with RL loading (100 Ω, 100 mH) delivering 400 W power output. The efficiency in the case of the inverter reaches its peak at 97.84% and voltage and current total harmonic distortion (THD) of 16% and 6%, correspondingly. The present proposed N9L-FBSCI has a better voltage gain and fewer components than available nine-level topologies without altering the delight of the wave position.]]>
<![CDATA[Current state of production of аlternative energy on the Absheron Peninsula ]]>
<![CDATA[Ali, Ramil Sadigov]]>;
<![CDATA[Farman, Nazila Alverdiyeva]]>;
<![CDATA[Israphil, Gunay Mammadova]]>;
<![CDATA[Gudrat, Vusala Isaqova]]>;
<![CDATA[Allahverdi, Turkan Hasanova]]>;
<![CDATA[Madnee, Muhammad]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 15, No 1: March 2026 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v15.i1.pp37-45
<![CDATA[The article is devoted to the study of the relationship between sustainable development and the introduction of innovative technologies, and the formation of smart cities. The Azerbaijan Republic is a land-poor country and has exhausted most of its natural resources. Therefore, the use of renewable energy sources and scientific research in this direction are important and topical issues for the country's scientists. Wind demand: in 10 months (from January to October) showed 3.000 GWh-4.000 GWh in Absheron (2020-2024 years). Since bioenergy can be produced in any weather, it is more reliable than solar and wind energy in Azerbaijan's regions. Seasonal variations in the availability of agricultural residues can lead to uneven energy production and create difficulties in ensuring a constant supply. The study is innovative given the importance of non-competition with food production, as well as the unique environmental, economic, and technological implications of each biofuel production method.]]>
<![CDATA[Performance evaluation of a trapezoidal solar pond using magnesium sulphate (MgSO₄) ]]>
<![CDATA[Dineshkumar, P.]]>;
<![CDATA[Raja, M.]]>;
<![CDATA[Venkatesan, M.]]>;
<![CDATA[Dineshkumar, M.]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 15, No 1: March 2026 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v15.i1.pp403-411
<![CDATA[Emerging global demand for clean and sustainable energy has intensified research into efficient methods of solar energy capture and storage. Among various renewable energy storage technologies, salt gradient solar ponds (SGSPs) have emerged as a reliable and cost-effective solution. This study presents an advanced experimental evaluation of a trapezoidal SGSP using magnesium sulphate (MgSO₄) as the salinity medium to enhance heat storage performance and system stability. A laboratory-scale trapezoidal pond with a depth of 30 cm was constructed using 18 mm thick plywood and an optimized 16% MgSO₄ concentration (SGSP-M16) was employed to maintain thermal stratification. Experiments conducted over a four-month period in Salem, Tamil Nadu, India, involved detailed energy and temperature analysis across upper convective zone (UCZ), non-convective zone (NCZ), and lower convective zone (LCZ). Results revealed maximum temperature difference of 28 °C among UCZ and LCZ, with LCZ achieving peak energy efficiencies of 25.24%, 26.80%, 28%, and 32.09% from January to April, respectively. These findings confirm the effectiveness of the trapezoidal MgSO₄ based SGSP as a sustainable and scalable system for renewable energy storage and efficient thermal management, suitable for applications such as desalination, greenhouse heating, and industrial preheating.]]>
<![CDATA[Implementation of the soil health monitoring system to achieve better yield ]]>
<![CDATA[Bhagyashree, S. R.]]>;
<![CDATA[Halligudra, Guddappa]]>;
<![CDATA[Sindagi, Anupama]]>;
<![CDATA[Nagaraj, Madhu]]>;
<![CDATA[Shyamala, C.]]>;
<![CDATA[Tarannum, Shaista]]>;
<![CDATA[Thailagavathy, R.]]>;
<![CDATA[Kumar, T. R. Yashavantha]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 15, No 1: March 2026 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v15.i1.pp308-318
<![CDATA[Agriculture is a fundamental pillar of the economy, particularly in developing countries where a significant proportion of the population depends on farming for their livelihood. Crop productivity is influenced by soil type and its changing chemical properties. A lack of understanding of soil health, crop-specific nutrient requirements, and the interaction between water and the environment often leads to inappropriate irrigation and fertilizer use. As a result, crops receive either excessive or insufficient nutrients, leading to reduced yields and the waste of water, energy, and other valuable resources. To address these issues, this paper presents an IoT-based soil health monitoring system that supports sustainable crop management. The proposed system integrates sensors to monitor key soil parameters such as temperature, humidity, soil moisture, and pH levels in real time. Based on the collected data, the system autonomously adjusts irrigation and environmental conditions to maintain soil health. This approach improves crop productivity, optimizes resource utilization, and promotes energy conservation in agricultural systems.]]>
<![CDATA[Modulation and performance analysis of two-wheeler electric vehicle ]]>
<![CDATA[Mishra, Debani Prasad]]>;
<![CDATA[Senapati, Rudranarayan]]>;
<![CDATA[Kumar, Pavan]]>;
<![CDATA[Bhardwaj, Lakshay]]>;
<![CDATA[Salkuti, Surender Reddy]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 15, No 1: March 2026 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v15.i1.pp186-194
<![CDATA[When compared to traditional cars, electric vehicles (EVs) have less pollution, better fuel efficiency, and are better for the environment. This essay explores the evolution of EVs in great detail, emphasizing their vital role in lowering CO2 emissions and promoting sustainability. It builds a dynamic model for EVs using MATLAB/Simulink, which explains the state of charge (SOC) and range prediction. The study emphasizes the importance of EVs in promoting a sustainable future by thoroughly covering design details, modeling, and a scientific methodology. Through the use of modeling to clarify technical aspects and highlight the significance of EV adoption, this study highlights the vital role that EVs play in reducing environmental impact and advancing environmentally friendly transportation. It highlights EVs' potential to revolutionize the automobile sector while promoting cleaner modes of transportation. It offers a thorough overview of EV production and usage and fervently promotes their wider acceptance as a means of laying the groundwork for a more sustainable and clean future.]]>
<![CDATA[Trapezoidal PWM scheme for voltage gain inverter ]]>
<![CDATA[Naraboyana, Harikrishna]]>;
<![CDATA[Kumaraswamy, I.]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 15, No 1: March 2026 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v15.i1.pp90-97
<![CDATA[The trapezoidal modulating wave-based high voltage gain 9-level inverter (HVG9LI) addresses significant difficulties related to the growing usage of capacitors, DC sources, and semiconductor switches. The proposed HVG9LI generates a nine-level resultant voltage with few components, exhibiting the capacity to double the output voltage gain. Furthermore, the HVG9LI utilizes a trapezoidal modulating wave and variable frequency carrier (TM-VFC) pulse width modulation method to increase the resulting voltage and enhance the voltage output quality. The performance and practicability of the HVG9LI with TM-VFC are evaluated across several modulation techniques and indices implemented by using MATLAB/SIMULINK and tested experimentally.]]>
<![CDATA[Impact of ferrite materials on wireless power transfer efficiency for electric vehicles battery chargers ]]>
<![CDATA[Bunyamin, Wan Muhamad Hakimi Wan]]>;
<![CDATA[Baharom, Rahimi]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 15, No 1: March 2026 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v15.i1.pp361-372
<![CDATA[This paper investigates the impact of ferrite materials on the efficiency of wireless power transfer (WPT) systems designed for electric vehicle (EV) and E-bike battery chargers. The study employs 3D full-wave electromagnetic simulations in CST Studio Suite 2024 to evaluate how Laird Performance Materials 33P2098-0M0 ferrite influences magnetic coupling, field confinement, and overall transfer efficiency. Two configurations were analyzed: coil-only and coil-with-ferrite plates, under a fixed 20 mm air gap and an operating range of 30–50 kHz. The inclusion of ferrite materials significantly improved magnetic-flux directivity and coupling strength, resulting in a peak efficiency of 99.21% at 41.3 kHz, compared to 99.09% at 38.1 kHz for the coil-only design. The enhanced configuration also reduced magnetic leakage and improved resonance stability, as verified through mesh-independent simulations and analytical validation with less than 2% error. The proposed model correlates ferrite permeability with mutual inductance and resonant-frequency tuning, confirming the theoretical basis of the efficiency gain. This work bridges a gap in small-scale EV and E-bike WPT research by quantifying the measurable benefits of ferrite integration and providing design guidelines for compact, thermally stable, and high-efficiency wireless charging systems.]]>
<![CDATA[Machine learning-based real-time power stability optimization for photovoltaic systems using hybrid inductor-capacitor patterns ]]>
<![CDATA[Kathirvel, Jayashree]]>;
<![CDATA[Pushpa, S.]]>;
<![CDATA[Kavitha, P.]]>;
<![CDATA[Sureshkumar, Sathya]]>;
<![CDATA[Andi, Kannan]]>;
<![CDATA[Pramasivam, Prabakaran]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 15, No 1: March 2026 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v15.i1.pp248-256
<![CDATA[Photovoltaic (PV) systems often face real-time power stability challenges due to rapid fluctuations in solar irradiance and varying load conditions, which conventional control strategies struggle to manage effectively. Addressing this limitation, the present study proposes a novel machine learning-based control framework integrated with a hybrid inductor-capacitor (LC) network to enhance dynamic power regulation. The proposed system employs predictive algorithms to adjust LC parameters in real time, enabling adaptive voltage and current stabilization during transient conditions. Simulation results validate the model's effectiveness, showing a 58% reduction in power fluctuation (from 12% to 5%) and consistent improvement in voltage stability index (VSI), maintaining values above 0.95 compared to 0.88-0.93 in traditional systems. Moreover, the approach reduces computation time by 66% (150 ms versus 450 ms for PID-based systems), supporting faster and more efficient control actions. These outcomes demonstrate that the proposed intelligent control strategy significantly improves energy efficiency, voltage stability, and responsiveness in PV systems, offering a scalable solution for reliable grid integration of renewable energy sources.]]>
<![CDATA[ANFIS-MPPT based PMSG-wind turbine interfaced with water pumping and battery management systems for optimal power flow and energy management ]]>
<![CDATA[Kandukuri, Saritha]]>;
<![CDATA[Nirala, Ram Dulare]]>;
<![CDATA[Kollati, Sivaprasad]]>;
<![CDATA[Himaja, Tata]]>;
<![CDATA[Adireddy, Durga Bhavani]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 15, No 1: March 2026 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v15.i1.pp141-152
<![CDATA[This paper presents the adaptive neuro-fuzzy inference system-maximum power point tracking (ANFIS-MPPT) approach for optimizing power flow in a water system powered by a permanent magnet synchronous generator (PMSG)-wind turbine. The system uses a PMSG-based wind energy conversion system (WECS) with an ANFIS for MPPT, enabling efficient power extraction under variable wind conditions. A bidirectional SEPIC-Zeta converter interfaces a battery energy storage system (BESS) to regulate the DC-bus voltage and maintain continuous power supply to a three-phase induction motor driving the water pump. An artificial neural network (ANN)-based controller is used to manage the charging and discharging of the battery based on real-time voltage deviation. The entire system, including wind turbine, PMSG, converters, and intelligent control algorithms, is modeled and simulated in MATLAB/Simulink. Comparative analysis with conventional MPPT techniques highlights the superior performance of the proposed hybrid ANFIS-based control in terms of power flow regulation, voltage stability, and operational reliability. The results confirm that the proposed approach significantly enhances energy management and system resilience, making it suitable for standalone or remote water pumping applications powered by renewable energy sources.]]>
