International Journal of Power Electronics and Drive Systems (IJPEDS)
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Torque sharing function optimization for switched reluctance motor control using ant colony optimization algorithm
Switched reluctance motors (SRMs) are gaining popularity in industrial and automotive applications due to their robust design, fault tolerance, and high torque density, particularly in wide-speed-range operations. However, SRM performance is often limited by torque ripple, speed oscillations, and inefficiencies, which can lead to mechanical stress, vibration, and acoustic noise. Addressing these challenges requires the effective optimization of control strategies. This study aims to enhance the performance of SRM drives by employing an ant colony optimization (ACO) algorithm to optimize the torque sharing function (TSF). The proposed method iteratively tunes TSF parameters to minimize torque ripple and improve speed stability under varying operating conditions. Simulation results demonstrate significant improvements: torque ripple is reduced from a range of –20 Nm to 10 Nm without optimization to below 10 Nm with ACO-based optimization. Similarly, current peaks decrease from 60 A to 5.5 A, ensuring smoother motor operation and enhanced efficiency. Comparative analysis confirms that the ACO-based TSF provides superior tracking of speed set points, reduced mechanical stress, and improved reliability, making it well-suited for high performance applications in both industrial and automotive sectors
Certain investigations on performance analysis of different converter designs for smart micro-grid systems
This paper proposes a grid-connected hybrid renewable power system. A LUO converter driven by ABC-PI controller is used to produce stable DC-link voltage. To enhance the voltage, a LUO converter is used, and the boosted voltage is regulated by an ABC-PI controller. Using the suggested optimization approach, the power fluctuation is kept at a low value. The execution of the proposed optimization is efficient, as it is simple and robust. It has a limited number of control parameters as compared to other approaches. The suggested method is described in complete detail, together with its converter and control mechanisms. The modeling and experimental results are validated to ensure that the system is feasible. The HRES is analyzed through simulation in MATLAB with converters like boost, SEPIC, and LUO. The results reveal that the LUO converter performs better with a minimum settling time of 0.175 seconds with a source current THD of 1.29%. From the modeling and the simulation results, it has been revealed that the proposed technology provides more reliable and steady power
Power factor correction converters overview with PSIM simulation-based systematic control design for the totem-pole topology
The need for power factor correction (PFC) is inevitable due to the distortion of the supply current that results from the widely used switched mode power supplies (SMPSs). This paper first introduces the effects of SMPSs on the grid and the concept of PFC, followed by a review of the different ways to achieve this correction. Due to its numerous benefits, the totem-pole topology is chosen. A complete design of a totem-pole power factor correction (TPPFC) converter for universal use is demonstrated with the aid of the PSIM software and its SmartCtrl tool for a step-by-step design, achieving a simulated power factor (PF) as high as 0.99984 for normal full loading and a sinusoidal input current with a total harmonic distortion (THD) as low as 1.8038%. This work is the first complete, concise, and easy-to-follow PSIM simulation-based design guide for the TPPFC converter
Modular multi-input converter design for hybrid energy storage system used in traction power substation
Hybrid energy storage system (HESS) which consists of battery and supercapacitor is proposed to store bulk regenerative braking energy for future traction power substation. This system aims to optimize energy utilization and enhance the sustainability of rail transport. To facilitate bidirectional power flow between the traction network and the HESS, this paper introduces a modular multi-input converter (MMIC) to dynamically transfers during both braking and acceleration phases of train operation. The proposed MMIC operates in multiple modes, allowing for seamless energy exchange between the battery and supercapacitor, thus minimizing the depth of discharge of the battery and extending its lifespan. A comprehensive theoretical analysis of the MMIC is presented, detailing its four distinct operating modes. Additionally, simulation model of a 1.5 kV traction power substation with 500 kWh HESS is developed to validate the performance of the MMIC during steady-state operation. The findings demonstrate significant improvements in energy recovery and storage capabilities, underscoring the potential of the HESS to support future traction power substations in achieving higher efficiency and sustainability
Comparative analysis of wind speed prediction: enhancing accuracy using PCA and linear regression vs. GPR, SVR, and RNN
For power systems with significant wind power integration to operate in an efficient and dependable manner, wind speed prediction accuracy is crucial. Factors such as temperature, humidity, air pressure, and wind intensity heavily influence wind speed, adding complexity to the prediction process. This paper introduces a method for wind speed forecasting that utilizes principal component analysis (PCA) to reduce dimensionality and linear regression for the prediction model. PCA is employed to identify key features from the extensive meteorological data, which are subsequently used as inputs for the Linear Regression model to estimate wind speed. The proposed approach is tested using publicly available meteorological data, focusing on variables such as temperature, air pressure, and humidity. Popular models like recurrent neural networks (RNN), support vector regression (SVR), and Gaussian process regression (GPR) are used to compare its performance. Evaluation metrics such as root mean square error (RMSE) and R² are used to measure effectiveness. Results show that the PCA combined with Linear Regression model yields more accurate predictions, with an RMSE of 94.11 and R² of 0.9755, surpassing the GPR, SVR, and RNN models
Single-stage transformer less multilevel boost inverter with zero leakage current for PV system
Transformer less inverters (TIs) are highly efficient and have a high power density, making them a popular choice for grid-connected solar PV applications. However, certain topologies can lead to high-frequency common-mode voltage (CMV), which can cause issues such as high leakage current, electromagnetic interference, and an absence of safety. Our newly developed inverter is designed to be more efficient, cost-effective, and compact than traditional types while also addressing the issue of leakage current. This architecture eliminates leakage current by directly connecting the grid's neutral terminal to the PV's negative polarity, resulting in a low leakage current. Moreover, the inverter increases output voltage using only one voltage source and a few power devices, making it a cost-effective solution. Its modular form allows for an increase in output levels, further enhancing its cost-effectiveness. We conducted a comprehensive mathematical examination, and the MATLAB/Simulink results demonstrate its ability to increase the output voltage, eliminate leakage current, and maintain acceptable output voltage THD and current waveforms. These results and the inverter's safety features showcase significant improvements over traditional inverters and provide a secure and reliable solution for grid-connected solar PV applications
Harmonic reduction techniques in renewable energy distribution systems using cascaded multilevel inverters: a comparative analysis
Penetration of renewable energy in distribution generation increases power quality in the output. The harmonics inherent in the inverters are a major contributor to the power quality issues in the distribution system. Multilevel inverters are used to get rid of the harmonics inherent in the inverter output. Among the multilevel inverter topology cascaded multilevel inverters have taken center stage due to their simple topology and control with lesser components. This paper reviews different multilevel inverter topologies that have led to cascaded multilevel inverter topology and applies pulse width modulation (PWM) techniques to the topology. Phase disposition PWM technique is applied on the cascaded H-bridge multilevel inverter (MLI) topology for 5-level, 7-level, and 9-level inverter topologies. The total harmonic distortion (THD) obtained for these topologies is compared with and without the use of an LC filter in the inverter output. PWM techniques including phase disposition, for five-level, seven-level, and nine-level MLI methods are applied on the cascaded multilevel inverter and results are compared for harmonic reduction in the inverter output
Sustainable energy empowerment in remote regions wind-solar system with intelligent management
This paper presents a device designed to provide continuous electrical energy to isolated areas where connection to the power grid is expensive and unprofitable. This objective is achieved through a system that combines a wind turbine and photovoltaic panels as primary energy sources, with storage batteries and a diesel generator serving as backup sources. The main contribution of this work is characterized by the ability to ensure uninterrupted electrical power supply, even on days when renewable energy sources are less favorable. This intermittency is due to the random nature of these sources, as well as their dependency on weather and climatic conditions. Therefore, we sized each component of the hybrid system to meet the maximum required load individually under the most favorable conditions. We then modeled each energy conversion chain and developed power control laws to ensure effective set point tracking. Finally, we implemented a hierarchical energy management algorithm to define the operating modes of the hybrid system's sources, aiming to produce as much power as the load requires while prioritizing the use of renewable energy sources to minimize reliance on the storage system and the diesel generator
Hybrid MPPT technique using fuzzy logic and P&O of solar power system
This paper introduces an enhanced perturb and observe (P&O) technique with a variable step size utilizing fuzzy logic to address the limitations of the traditional P&O technique, particularly under rapidly fluctuating solar radiation conditions. The performance of the suggested variable step size FLC-P&O maximum power point tracking (MPPT) and the constant step size P&O techniques is simulated and evaluated under various operating scenarios using MATLAB/Simulink software. The suggested technique was successfully validated using a boost converter connected to a Canadian Solar CS6P-240P photovoltaic (PV) model. The results demonstrate that the FLC P&O technique improves response accuracy and reduces steady-state terminal voltage fluctuations. Moreover, the findings show that the suggested technique provides a faster response and higher MPPT efficiency compared to the traditional P&O technique, particularly during sudden variations in solar irradiance
A novel fetal Doppler calibrator: enhancing the precision of fetal heart rate monitoring
The congenital heart disease is associated with abnormal brain development in the womb of pregnant women where fetuses with congenital heart disease are at higher risk of miscarriage compared to the general population. Fetal and neonatal risk identification and assessment are essential for comprehensive risk stratification after diagnosis of congenital heart disease. This study aims to improve the accuracy of Doppler fetal measurements in the diagnosis of congenital heart disease risk with calibrators. This study used an experiment of a calibrator with four push buttons embedded to increase and decrease the beat per minute (BPM) value by comparing the BPM value of the Doppler fetal. The measurement was carried out by comparing the values of the calibrator and the Doppler fetal with units and tens of BPM. Statistical analysis used the paired sample T-Test. The measurement obtained a significant p-value of <0.05 with 95% CI. Furthermore, this calibrator does not have a difference in accuracy level with a Doppler fetal. This states that the calibrator has the feasibility to calibrate the fetal Doppler in the fetal heart examination service for pregnant women. This study has the prospect of improving the technology with the embedding of the internet of things (IoT)