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检索条件"任意字段=2023 International Conference on Circuit Power and Computing Technologies, ICCPCT 2023"

共 3603 条记录，以下是81-90 订阅

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Harnessing the power of Blockchain to Create a Decentralized E-Voting Infrastructure for Modern Democracies 7

Harnessing the Power of Blockchain to Create a Decentralized...

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7th international conference on circuit power and computing technologies, iccpct 2024

作者： Aswin Kumar, E. Kumar Parihar, Aman Gowtham, R. Gadli, Ibrahim Prasath, R. Kumar, Ashok KCG College of Technology Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350372816

In the contemporary age of digital transformation, it is imperative to safeguard the authenticity and confidentiality of electoral processes to uphold democratic ideals. The conventional methods of voting often face various challenges, including fraud, tampering, and lack of transparency. This academic research offers a detailed exploration and idea of online voting system that utilizes blockchain technology. By capitalizing on the centralized and mutable characteristics of blockchain, the proposed system aims to hinder the security, transparency, and reliability of the voting process. By thoroughly examining the fundamental aspects of blockchain, the architecture of the system, security mechanisms, and potential applications, this paper delivers valuable insights into the transformative capabilities of blockchain-based online voting systems. Through its examination of crucial concerns encompassing electoral governance, like data integrity and voter anonymity, this investigation contributes to the advancement of democratic practices in the digital era. © 2024 IEEE.

关键词： Decentralized finance

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Design of CMOS Based Lc-Voltage Control Oscillator Using Substrate Bias Effect and Low-Voltage Folded-Cascade Current Mirror circuit 7

Design of CMOS Based Lc-Voltage Control Oscillator Using Sub...

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7th international conference on circuit power and computing technologies, iccpct 2024

作者： Suresh, N. Ramesh, M. Rosi, A. Periyar Selvam, K. Vaishnavi, T. Nalini, N. AVN Institute of Engineering & Technology Electronics & Communication Engineering Hyderabad501510 India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Electronics & Communication Engineering India GRT Institute of Engineering and Technology Electronics & Communication Engineering Tiruttani India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Electronics & Communication Chennai India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Electronics & Communication Engineering Chennai India

ISBN: (纸本)9798350372816

This paper Proposed to design a CMOS Based LC-Voltage Control Oscillator Using Substrate Bias Effect and Low-Voltage Folded-Cascade Current Mirror circuit using an LC tank circuit at 2.5GHz oscillation Frequency. The paper delves into the substrate-biasing technique, which adjusts the threshold voltage of a CMOS transistor, and the low-voltage folded-cascade current mirror circuit that utilizes CMOS technology to improve the performance of the current mirror circuit. The folded-cascade current mirror circuit comprises of a cascade structure in the input stage and a folded structure in the output stage, which is used to increase the output impedance and provide a more stable output current. The paper concludes that the folded-cascade current mirror circuit is a powerful tool in CMOS circuit design, offering improved performance and accuracy over the traditional current mirror circuit. In this simulation is carried out through cadence virtuoso generic process design kit (GPDK) with 90nm technology. The simulation results exhibits phase noise of -154.92 dBc/Hz @ 1MHz, low power consumption of 4.8mW and the Figure of Merit -216.09 dBc/Hz at 2.5GHz oscillation frequency © 2024 IEEE.

关键词： CMOS integrated circuits

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The Future Charged: Optimizing Electric Vehicle Performance through Advanced power Management Strategies 7

The Future Charged: Optimizing Electric Vehicle Performance ...

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7th international conference on circuit power and computing technologies, iccpct 2024

作者： Vigneshwar, A.S. Kavitha, N. Sureshbabu, J. Chellam, S. Chandrasekar, P. Kalaiarasi, K. Ramco Institute of Technology Department of EEE Tamil Nadu Rajapalayam India Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Department of EEE Chennai India PARK AMC Polytechnic College Tamil Nadu Coimbatore India Department of EEE Tamil Nadu Madurai India Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Department of EEE Tamil Nadu Chennai India Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Department of ECE Tamil Nadu Chennai India

ISBN: (纸本)9798350372816

EVs have emerged as a viable way to tackle environmental issues and decrease reliance on fossil fuels in the transportation industry. This study examines the enhancement of EV performance by using sophisticated power management systems. Our objective was to improve energy efficiency, increase range, and boost overall performance by using predictive control algorithms, adaptive charging techniques, vehicle-to-grid integration, and hybrid energy storage systems. The simulation results showed notable progress in energy efficiency, as seen by a projected enhancement to 97%, an expansion of the range to 45 miles, and a decrease in charging time by 15% in comparison to the preceding years. The aforementioned results highlight the significant impact that sophisticated power management systems may have on the development of electric transportation, hence contributing to the establishment of a transportation system that is both sustainable and robust. © 2024 IEEE.

关键词： Charge storage

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Predict Solar Panel power Production Using Weather Forecasts 7

Predict Solar Panel Power Production Using Weather Forecasts

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7th international conference on circuit power and computing technologies, iccpct 2024

作者： Satkunam, Pankajan University of Kelaniya Software Engineering Teaching Unit Sri Lanka

ISBN: (纸本)9798350372816

Solar energy is one of the widely used renewable energy in homes and industries and could replace fossil fuels. Frequently changing weather conditions are the main factor that affects solar power generation. Sri Lanka is a tropical country that is affected by unpredictable weather conditions. It is situated very near to the equator and receives more sunlight. Many solar panel users in Sri Lanka generate electricity for ordinary households and industrial purposes. Solar panel users must rely on fossil fuel energy when solar power generation decreases. It increases the load on the main *** research focuses on how weather conditions affect solar panel productivity and how solar panel users can use renewable energy in an efficient way using accurate weather prediction systems. Weather data and solar panel energy production data were collected and analyzed for this research. A Google form was distributed to the solar panel users to collect data about the weather prediction systems that are used to estimate solar panel power production. First, the correlation between weather conditions and solar energy production was analyzed. A Neural Network(NN) and the SARIMA algorithm are used to create the weather prediction system and compare the accuracy. Then, the weather prediction system is used to identify the increment and decrement in solar panel power production. This research aims to transform the weather prediction system into a solar power prediction system and use solar power efficiently to manage the load on the main grid. © 2024 IEEE.

关键词： Data Analytic Solar Energy Prediction Weather Forecast Weather Prediction

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Efficient power Extraction in Off-Grid Photovoltaic Systems with Landsman Converter: An Adaptive Fuzzy Control Approach 7

Efficient Power Extraction in Off-Grid Photovoltaic Systems ...

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7th international conference on circuit power and computing technologies, iccpct 2024

作者： Penthala, Thanuja Kavin, K.S. Faizal, A. A. Mohamed Sekar, R.M. Sreedevi, S.L. Sengottaian, S. Vaagdevi College of Engineering JNTU Department of Electrical and Electronics Engineering Telangana Hyderabad India Government College of Engineering Department of Electrical and Electronics Engineering Tamilnadu Tirunelveli India V v College of Engineering Department of Electrical and Electronics Engineering Tisaiyanvilai628 656 India SSM Institute of Engineering and Technology Department of Electrical and Electronics Engineering Dindigul624002 India PERI Institute of Technology Department of Electrical and Electronics Engineering Chennai India Global Institute of Engineering and Technology Department of Electrical and Electronics Engineering Ranipet Melvisharam632509 India

ISBN: (纸本)9798350372816

An innovative approach for enhancing power extraction efficiency in off-grid photovoltaic (PV) systems through the use of Landsman Converter is proposed. This method tackles the difficult task of optimizing power extraction efficiency in off-grid situations when energy management and storage are essential. An Adaptive Fuzzy Control (AFC) method is proposed to improve its performance even more. AFC uses the adaptability and flexibility of fuzzy logic-based control systems to dynamically modify the Landsman Converter's functioning in response to external factors, load demands, and system parameters. Through constant observation of relevant variables including temperature, load demand, and solar irradiation, the AFC algorithm cleverly modifies the converter's operational parameters in real-time to optimize power extraction efficiency and guarantee peak system performance. Overall, by presenting a novel control strategy that improves power extraction efficiency and encourages the sustainable deployment of solar energy technologies in remote and off-grid areas, this study advances the state-of-the-art in off-grid PV system optimization. To evaluate the efficacy and practicability of the proposed strategy, simulation research and experimental validation are carried out. The comparison chart shows the proposed converter's efficiency of 92.3% and an AFC settling time of 0.23s. © 2024 IEEE.

关键词： Fuzzy control

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Future of Energy Storage: Advancements in Lithium-Ion Batteries and Hybrid Vehicle technologies 7

Future of Energy Storage: Advancements in Lithium-Ion Batter...

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7th international conference on circuit power and computing technologies, iccpct 2024

作者： Malik, Gopalam Rahul Reddy, Kamini Venkata Tejasimha Reddy, Yannapoosa Pream Kumar Vinod, Adithya Lakshmi, K. Krishna, Sapthami Vishakh, K.H. Jishnu Sankar, V.C. Amrita Vishwa Vidyapeetham Department of Electrical and Electronics Engineering India

ISBN: (纸本)9798350372816

This article provides a thorough analysis of current and developing lithium-ion battery technologies, with focusing on their unique energy, cycle life, and uses. The performance, safety, and viability of various current technologies such as lithium cobalt oxide (LCO), lithium polymer (LiPo), lithium manganese oxide (LMO), lithium nickel cobalt aluminum oxide (NCA), lithium nickel manganese cobalt oxide (NMC), and lithium iron phosphate (LFP) are detailed, particularly focus on EVs and energy storage systems (ESS). Highlighted crucial aspects like specific energy and battery endurance and special attention placed on the improvements in NCM, NCA, and LFP cathodes and their implications to the integration of renewable energy sources and sustainable mobility. Emphasized advancements in battery energy density and efficiency. The article also examines future technologies including solid-state and lithium-air batteries, outlining their present development challenges. It highlights the evolving landscape of energy storage technologies, technology development, and suitable energy storage systems such as cycle life, energy density, safety, and affordability. The article also examines future technologies including solid-state and lithium-air batteries, outlining their present development challenges. It highlights the evolving landscape of energy storage technologies, technology development, and suitable energy storage systems such as cycle life, energy density, safety, and affordability. The analysis identifies LFP batteries are promising for ESS, that because of their strong safety profile, high cycle life, and affordable production costs. Highlighted future directions and innovations in battery technology and prospects in the field of energy storage. © 2024 IEEE.

关键词： Manganese oxide

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Efficiency Reinvented: A Pioneering MPPT Algorithm for Unprecedented Solar power Efficiency 7

Efficiency Reinvented: A Pioneering MPPT Algorithm for Unpre...

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7th international conference on circuit power and computing technologies, iccpct 2024

作者： Haneesh Babu, K.T. Janet Mary, S. Anitha Noorul Islam Centre for Higher Education Department of Electrical and Electronics Engineering Tamil Nadu India

ISBN: (纸本)9798350372816

Non-conventional power sources are becoming more popular due to energy crises and rising energy use. To address growing energy concerns and meet the expanding demand for electricity, renewable energy sources have so gained attention. Photovoltaic (PV) solar energy systems are an important part of the solution because of their amazing benefits, which include abundance and safety. The inverters that are being used ought to efficiently harness the entire power output of the PV solar system and seamlessly feed that energy into the utility grid, all while avoiding any additional constraints. Advancements in MPPT techniques are necessary to improve energy conversion efficiency, as the importance of solar power as a sustainable energy source grows. This study offers a thorough analysis of using the maximum power point tracking (MPPT) approaches, including P&O, Incremental Conductance (INC), and Hill Climbing, highlighting the merits and limitations of each to optimize PV system power generation. A thorough analysis of these algorithms highlights common drawbacks that add to system complexity and expense, such as sensitivity to changing environmental conditions, convergence problems, and the need for additional sensors. Building on this in-depth analysis, the study concludes that a novel MPPT algorithm is required in order to solve these inadequacies and keep up with the rapidly changing field of solar energy applications. This endeavor aims to significantly contribute to the optimization of solar PV systems by pushing the boundaries of MPPT techniques, ultimately encouraging more cost-effective and efficient renewable energy solutions for a sustainable future. © 2024 IEEE.

关键词： Clean energy

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DDSRF Theory for power Quality in UPFC Applications 7

DDSRF Theory for Power Quality in UPFC Applications

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7th international conference on circuit power and computing technologies, iccpct 2024

作者： Venkatesh, E. Sivaraj, P. Mohamed Faizal, A.A. Sasikala, A. Kavin, K.S. Ragul, S. Malla Reddy Engineering College for Women Department of Electrical and Electronics Engineering Telangana Hyderabad India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of Electrical and Electronics Engineering Chennai India V v College of Engineering Department of Electrical and Electronics Engineering Tisaiyanvilai628 656 India Sri Sai Ram Institute of Technology Department of Electrical and Electronics Engineering Chennai600044 India Government College of Engineering Department of Electrical and Electronics Engineering Tamil Nadu Tirunelveli India Chettinad College of Engineering and Technology Department of Electrical and Electronics Engineering Karur639114 India

ISBN: (纸本)9798350372816

The electrical method's power quality is critical for businesses, factories, and residential applications. Users and utilities have been more concerned about the quality of power as the demand for high-quality electrical power has increased, as has the number of distortion loads. In this paper proposed the Decoupled Double Synchronous Reference Frame (DDSRF) model for the power quality in unified power flow controller (UPFC) applications also the FACTs parts that controls the communication line's active and reactive power flow. This article attempted to improve power superiority by using a fuzzy logic controller (FLC) and boost converter with solar system founded UPFC to regulator both active and reactive supremacy movement, adjust power issue, control line power, and increase passing steadiness. The DDSRF generates an annular harmonic that is diametrically opposed to the load harmonic. The frequency is then injected into electricity systems, reducing the influence of harmonics. The THD value comparison has the value of 2.2% using DDSRF theory. © 2024 IEEE.

关键词： Electric power system control

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Intelligent MPPT Controller for PV with Energy Storage System Fed UPQC System for power Quality Improvement 7

Intelligent MPPT Controller for PV with Energy Storage Syste...

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7th international conference on circuit power and computing technologies, iccpct 2024

作者： Chitra, L. Sridevi, M. Prakash, S. Vinayaka Missions Research Foundation Aarupadai Veedu Institute of Technology Department of Electrical and Electronics Engineering Tamil Nadu India

ISBN: (纸本)9798350372816

In a time when energy demands are growing and sustainability is becoming more and more important, making the best use of electrical resources is essential. Modern grid systems are placing an increasing emphasis on power quality and the integration of renewable energy sources. The objective of this study is to enhance the integration of renewable energy sources and power quality in a three-phase grid system. The report contains several important elements to guarantee the effective use of renewable energy and address power quality concerns. power quality issues such as voltage swells and sags impact the grid system, despite being the main source of electricity. power quality is enhanced by the Unified power Quality Conditioner (UPQC's) core, which consists of both series and shunt converters. The series converter is essential for preventing voltage spikes and falls, ensuring a steady and dependable power source. The shunt converter is in charge of reactive power compensation and harmonic mitigation at the same time. To capture solar energy, the system is equipped with solar panels. To optimize the power generation from these panels, a Maximum power Point Tracking (MPPT) controller with an Adaptive Neuro-Fuzzy Inference System (ANFIS) is employed. This controller increases the energy generation's efficiency. The DC-DC Luo converter is responsible for maintaining a constant DC link voltage. It ensures effective power transmission while managing the energy flow between the solar panels and the grid. When needed, the Bi-Directional Battery Converter makes it easier to discharge stored energy back into the grid and stores surplus energy produced by the PV system. It serves as an energy buffer to improve grid stability and encourage energy-saving practices. Concurrently, the system ensures ecologically friendly and sustainable power generation by optimizing the use of renewable energy sources. This paper is finally developed in MATLAB Simulation 2021a, and various situation

关键词： Solar energy

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Integrated Renewable Energy System with ANN-Based MPPT for Efficient power Generation, Wireless Transmission, and Energy Storage in EV Applications 7

Integrated Renewable Energy System with ANN-Based MPPT for E...

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7th international conference on circuit power and computing technologies, iccpct 2024

作者： Prakash, S. Mohan, G. Vinayaka Missions Research Foundation Aarupadai Veedu Institute of Technology Department of Electrical and Electronics Engineering Tamil Nadu India

ISBN: (纸本)9798350372816

The increasing global energy demand and the urgent need to transition to sustainable practices have made the integration of renewable energy sources (RESs) into distribution power networks imperative. This paper main objective is to implement rooftop photovoltaic (PV) systems as an essential part of low-voltage (LV) DC networks' building-integrated centralized generation. By ensuring maximum power extraction from photovoltaic (PV) panels, a Maximum power Point Tracking (MPPT) approach based on Artificial Neural Networks (ANNs) is utilized to enhance power generation efficiency, particularly in partially shaded scenarios. After that, the PV system's generated power is sent to a Luo converter, which effectively tracks and optimizes the power production. The Luo converter's output is then fed into a high-frequency converter to enable wireless power transfer. This wireless power transmission improves the system's flexibility and scalability by facilitating energy transfer without the requirement for physical connections. An isolation transformer is attached to the high-frequency converter's output to guarantee the system's dependability and safety. The high-frequency converter is isolated from the downstream components by the isolation transformer, which also offers protection against electrical risks. Lastly, the transformer's isolated output is connected to DC loads as well as a battery intended for use in electric vehicle (EV) applications. Lastly, we will use the MATLAB 2021a / Simulink program to do a number of numerical simulations in order to validate the proposed controls. The efficiency achieved with the Luo converter is 93.5% and tracing efficiency of the ANN based MPPT is 92%. © 2024 IEEE.

关键词： MATLAB

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