This paper presents a regulated 24V-to-1V series-capacitor buck converter to achieve single-stage high step-down dc-dc power conversions with high efficiency and high power density. Many of the challenges faced by con...
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Growing electricity demands combined with drastic environmental changes have led to the penetration of renewable distributed generations (DGs) close to the load via the adoption of microgrids. However, the intermitten...
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Battery balancing technologies are a crucial mech anism for the safe operation of electrochemical energy storage systems, such as lithium-ion batteries. Moreover, balancing be tween battery cells is essential for batt...
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The integration of renewable energy sources and advanced monitoring technologies in smart grids has improved power supply efficiency and reliability, but also introduced challenges in managing power quality (PQ) distu...
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Due to modernization, the number of electrical gadgets have been increased and led to more consumption of electricity. As we know that most of the power produced is from conventional energy sources which resulted in d...
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In this paper, SEPIC converter, voltage multiplier, and magnetic coupling technique are applied to obtain high static gain. The proposed converter model has various advantages such as low duty ratio, low switching vol...
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Social humanoid robotic development becomes the futuristic vision to accomplish various tasks where the human cannot deploy. Artificial Intelligence (AI) and Machine Learning (ML), ad hoc network and robotic technolog...
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This paper discusses about order reduction of linear time invariant (LTI) systems based on error minimization by Genetic algorithm. The coefficients of the state space modelmatrices of reduced dimensions are obtained ...
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Modern Distributed systems are equipped with plenty of non-linear loads viz. Computers, Electronic Loads, SMPS and many more Power Electronics based loads. These loads are injecting both voltage and current harmonics ...
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Internal biometric identification systems based on convolutional neuron network (CNN) is precise but there are disadvantages of demanding enormous data and endless calculating. Therefore, it is difficult for CNN to be...
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