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Hybrid Energy Storage System with DC-DC Boost Converter and MPPT P&O control for Optimized Photovoltaic Power Management

Hybrid Energy Storage System with DC-DC Boost Converter and ...

引用

Power and Energy Engineering (ICPEE), International Conference on

作者： Mostafa Wageh Lotfy Aziza I. Hussein Dept. of Process Control Technology Faculty of Technology and Education Beni-Suef University Beni-Suef Egypt Electrical & Computer Eng. Dept. Effat University Jeddah Saudi Arabia

ISBN: (数字)9798331530860

ISBN: (纸本)9798331530877

This paper presents the design and implementation of a Stand-alone Photovoltaic (PV) Battery-Supercapacitor Hybrid Energy Storage System (HESS) integrated with a DC-DC boost converter and a Maximum Power Point Tracking (MPPT) control strategy based on the Perturb and Observe (P&O) algorithm. The system aims to enhance energy efficiency and optimize power management in solar PV applications by efficiently storing excess energy generated during high irradiance and maintaining a stable power supply during periods of low irradiance. The hybrid approach combines high-energy-density batteries for continuous power supply with supercapacitors that deliver rapid bursts of power, reducing stress on the batteries and extending their lifespan. The DC-DC boost converter increases the PV panel output voltage to the required level for efficient charging of both storage devices. The MPPT P&O algorithm dynamically tracks the Maximum Power Point (MPP) of the PV panels to maximize energy extraction, adjusting the operating voltage in response to environmental changes such as irradiance and temperature. Simulation results using MATLAB/Simulink validate the proposed system's performance, demonstrating improved energy conversion efficiency and a significant reduction in battery degradation. The MPPT P&O technique, combined with the hybrid storage system, achieves an overall energy management efficiency of 98%, making it an ideal solution for off-grid solar energy applications. This work highlights the potential of hybrid energy storage systems in enhancing the reliability and longevity of renewable energy systems.

关键词： Maximum power point trackers Photovoltaic systems Power supplies Power system management Solar energy Supercapacitors Hybrid power systems Energy efficiency Batteries Reliability

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Predicament of biodegradation of microplastics in water by MLP-ANN

Predicament of biodegradation of microplastics in water by M...

引用

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2022

作者： Cvetnić, Matija Bule, Kristina Grgić, Dajana Kučić Markić, Marinko Ukić, Šime Bolanča, Tomislav University of Zagreb Faculty Od Chemical Engineering and Technology Dept. of Analytical Chemistry Zagreb Croatia University of Zagreb Faculty Od Chemical Engineering and Technology Dept. of Industrial Ecology Zagreb Croatia University of Zagreb Faculty Od Chemical Engineering and Technology Dept. of Measurements and Process Control Zagreb Croatia

ISBN: (数字)9781665470957

ISBN: (纸本)9781665470957

Microplastics particles (MP) are plastic with dimension less than 5 mm. Due to the fact that MP has very persistent chemical structure and it is very hard to degrade it;its occurrence in the environment is common and pollution from MP is increasing rapidly. One of the possible solutions is biodegradation with targeted bacteria culture. In this research it was experimented if bacteria culture Bacillus cereus will degrade MP particles of PVC. During the 30 days of experiments, it has shown that number of bacteria has grown which indicated that biodegradation occurs. In the experiments where bacterial growth is indicated most significantly peak of C=O functional group increased while peaks of stretching functional groups decreased. As monitoring of MP during the process and in complex matrix (wastewater) is not possible, modeling approach was used as an alternative. Developed model for predicting biodegradation was used MLP-ANN with 4 hidden nodes. This model show good predicting power as R2 of validation set is 0.983. With this developed model it is possible to predict stage of biodegradation and in future it is possible to simulate biodegradation of microplastics in aquatic ecosystems. © 2022 IEEE.

关键词： Microplastic

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A New Four-Switch Split-Source Boosting Inverter: Analysis and Modulation 23

A New Four-Switch Split-Source Boosting Inverter: Analysis a...

引用

23rd International Middle East Power Systems Conference, MEPCON 2022

作者： Wageh, Mostafa Dabour, Sherif M. Mostafa, Ramadan Mahmoud Beni-Suef University Faculty of Technology and Education Dept. of Process Control Technology Beni-Suef Egypt Tanta University Dept. of Electrical Power and Machines Eng Tanta Egypt School of Engineering and Built Environment Glasgow Caledonian University Glasgow United Kingdom

ISBN: (纸本)9781665463638

This paper discusses the control of four-switches split-source inverter utilizing a generalized modulation (PWM) technique. Even in voltage fluctuations across the two capacitors, the suggested vector PWM offers a straightforward approach for choosing three or four vectors that successfully make the required output voltage by synthesis. The method uses the scalar form of the so-called space vector modulation. A comparison of several vector combinations. Using already existing stationary reference frame stator voltages, a normalized space vector modulation (SVPWM) technique is suggested for a four-switch three-phase (FSTP) voltage source inverter (VSI). Finally Results from simulations are offered to confirm this study's viability. © 2022 IEEE.

关键词： Electric inverters

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Test Automation of DCS controller’s Communication Interface

Test Automation of DCS Controller’s Communication Interface

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International Conference on Computing and Networking technology (ICCNT)

作者： Adluri Srikar Girish Nadig Yogesh Alawani Sunil Kumar T. K. Dept. of Electrical Engineering National Institute of Technology Calicut Kerala India Process Automation – Process Control Platform (PA-PCP) ABB Global Industries and Services Private Limited Bengaluru India

Modbus over TCP/IP has become one of the most utilised industrial protocols for networking critical infrastructure. It is crucial to test how the ABB 800xA DCS controller's Modbus TCP/IP protocol functions at both the component-level and the functional-level. Whereas manual testing takes a lot of time to build up a test environment. For example connecting the hardware like end devices, launching the controller (which executes the settings and programs created in the DCS software), configuring the DCS software tool (which enables editing, compilation, testing, and downloading of the desired controller programs to the controller), developing or loading controller programs which has different configurations, modifying the application variables, and also manually providing the input values into the desired registers or coils using Modbus slaves. Therefore, there is a great need to automate the entire process so that it becomes less repetitious, more effective, and requires less human effort. After comparing some available tools, We decided on SpecFlow as the point of entry into the automation framework. By connecting business-readable behavioral needs to the actual implementation, this tool "seeks to narrow the interaction gap between domain-specific experts and developers," according to its description. Our approach takes an array of steps defined in the Gherkin language using the SpecFlow framework as its input and embeds them inside step definition files developed using the C# language and *** framework. Additionally, PyModbusTCP served as the Modbus slave in the above project, providing complete test automation. PyModbusTCP is a slave-generation library built on the Python programming language. The Modbus Client object is used to provide access to the Modbus/TCP server.

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Enhancing 6G-Satellite Network Integration with Artificial Intelligence: A Future Communication Paradigm

Enhancing 6G-Satellite Network Integration with Artificial I...

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Learning and technology Conference (L&T)

作者： Ibrahim Salah Aziza I. Hussein Mostafa Wageh Lotfy Mohamed Mourad Mabrook Control and Computer Department College of Engineering Almaaqal University Basrah Iraq College of Engineering Energy and Technology Research Center Effat University Saudi Arabia Dept. of Process Control Technology Faculty of Technology and Education Beni-Suef University Beni-Suef Egypt Space Communication Dept. Faculty of Navigation Science & Space Technology Beni-Suef University Beni-Suef Egypt

ISBN: (数字)9798331532215

ISBN: (纸本)9798331532222

The integration of 6G networks and satellite communications is set to revolutionize global connectivity, offering seamless coverage across terrestrial and non-terrestrial environments. Artificial Intelligence (AI) is essential for improving this integration, addressing challenges such as dynamic resource management, latency reduction, and network optimization. AI techniques like machine learning, deep learning, and reinforcement learning offer innovative solutions to handle the complexities of 6G-satellite networks. These advancements promise to significantly improve network efficiency, enhance data transmission reliability, and ensure seamless connectivity across different areas. Potential use cases include smart cities, autonomous vehicles, and Internet of Things (IoT) applications, where AI-driven 6G-satellite integration will be crucial. The proposed AI-enhanced 6G-satellite framework not only addresses current challenges but also lays the groundwork for a resilient, scalable, and globally interconnected communication infrastructure, offering a promising future.

关键词： 6G mobile communication Wireless communication Smart cities Resource management Reliability Internet of Things Stakeholders Artificial intelligence Vehicle dynamics Satellite communications

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A Review of Energy Management System Strategies for AC microgrids operating in islanded mode

A Review of Energy Management System Strategies for AC micro...

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Electronic Engineering (ICEEM), International Conference on

作者： M. S. Elborlsy R. M. Mostafa M. A. Ghalib Hossam E. Keshta Process Control Technology Dept. Faculty of Technology and Education Beni-Suef University Beni-Suef Egypt Department of Electrical Engineering Faculty of Engineering at ShoubraBenha University Benha Egypt

The electricity demand is increasing due to environmental concerns, and economic benefits, leading to a shift towards renewable energy sources. However, the intermittent nature of renewables makes forecasting difficult. Microgrids ran help integrate small-scale renewable energy sources, energy storage systems, and non-renewable sources to address this challenge. Demand varies based on factors like time, location, season, climate, and resource availability. The primary aim of this research is to offer a thorough analysis of the latest advancements in isolated Alternating current (AC) microgrids, focusing on discussing Energy Management System (EMS) strategies. Specifically, the study emphasizes the integration of hybrid Renewable Energy Resources (RERs) with Energy Storage Systems (ESSs). Additionally, the paper presents potential research directions and future trends in this field.

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Intelligent PI controller for Frequency Enhancement of a Diesel-PV-Battery-Based islanded AC microgrid

Intelligent PI Controller for Frequency Enhancement of a Die...

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International Middle-East Power System Conference, MEPCON

作者： M. S. Elborlsy R. M. Mostafa Hossam E. Keshta Mohamed. A. Ghalib Process Control Technology Dept. Faculty of Technology and Education Beni-Suef University Beni-Suef Egypt Department of Electrical Engineering Faculty of Engineering ShoubraBenha University Benha Egypt

Smart and flexible control is needed in contemporary electrical *** maintain a balance between power generation and usage, especially during major disruptions. Microgrids primarily rely on naturally fluctuating renewable energy sources (RES) for electricity generation. Power system fluctuations make traditional controllers inadequate for optimal performance across Diverse operational scenarios. To enhance frequency performance in an isolated AC microgrid, this paper focuses on a fuzzy PI (FPI) controller that can adjust control measures for fluctuating frequency in the face of uncertainties such as abrupt load changes and variation in solar irradiance. A comparative study was conducted to demonstrate the superior performance of the FPI in regulating frequency in an isolated AC microgrid system.

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Advancing Environmental Sustainability: Renewable Energy Transition, Carbon Footprint Reduction, and Emission control Innovations

Advancing Environmental Sustainability: Renewable Energy Tra...

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Learning and technology Conference (L&T)

作者： Aziza I. Hussein Roba W. Alghamdi Amal Abdullah Al-Amoudi Omar Hisham Altahawi Narjisse Kabbaja Mohamed Mourad Mabrook Mostafa Wageh Lotfy Electrical & Computer Eng. Dept. Effat University Jeddah Saudi Arabia Space Communication Dept. Faculty of Navigation Science & Space Technology Beni-Suef University Beni-Suef Egypt Dept. of Process Control Technology Faculty of Technology and Education Beni-Suef University Beni-Suef Egypt

ISBN: (数字)9798331532215

ISBN: (纸本)9798331532222

Combating climate change and promoting environmental sustainability necessitate a dedicated emphasis on renewable energy sources and lowering carbon footprints. Shifting from fossil fuels to renewable resources, such as solar, wind, biomass, and geothermal energy, is imperative. Equally important is enhancing energy efficiency across industries, transportation, buildings, and household appliances to reduce overall energy consumption and greenhouse gas emissions. Technological advancements, such as improved energy storage and smart grid systems, are essential for boosting the efficiency and dependability of renewable energy sources. Strategies to lower carbon footprints include transitioning to clean transportation, optimizing land use, reducing waste, recycling, promoting sustainable agriculture, and implementing carbon offset initiatives. Public education, corporate responsibility, and personal environmental awareness play vital roles in supporting carbon reduction. By combining sustainable energy practices with carbon reduction measures, we can collectively work towards curbing climate change and fostering a sustainable future. Additionally, utilized techniques to address the problem of high air pollution during vehicle cold starts. We modeled catalytic converter dynamics in MATLAB Simulink, using simplifying assumptions. One significant assumption involved treating the catalytic converter as a Continuous Stirred-Tank Reactor (CSTR), which allowed us to model its temperature uniformly, without accounting for temperature changes along its length. This approach is aimed at saving lives and reducing costs by effectively minimizing air pollution.

关键词： Renewable energy sources Technological innovation Transportation Carbon dioxide Air pollution Mathematical models MATLAB Greenhouse gases Carbon footprint Exhaust systems

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Enhancement and control of Reactive Power Sharing Utilizing Circulating Current in AC Microgrids 23

Enhancement and Control of Reactive Power Sharing Utilizing ...

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23rd International Middle East Power Systems Conference, MEPCON 2022

作者： Tazy, Ahmed Samy, Mohamed Mahmoud Ghalib, Mohamed Ali Albaha University Faculty of Engineering Electrical Engineering Department KSAt Saudi Arabia University of Beni-Suef Dept. of Electrical Engineering Beni-Suef Egypt College of Technology and Education Beni-Suef University Dept. of Process Control Beni-Suef Egypt

ISBN: (纸本)9781665463638

controlling frequency and voltage stability is the major objective of controlling an independent mode a difficult task since every distributed power supply Distributed energy resource (DERs). A small network can include various converters, connected in parallel to each other by lines with mismatched line resistance. The micro-grid includes both local and general loads. The conventional droop controller shows poor reactive power sharing when mismatched line impedance among DER modules is unable to ensure the stability of the microgrid, also, the reactive power sharing accuracy among inverters is not made accurate. In this study, an improved control strategy using a secondary central small network unit (SCMU), to increase the precision of power-sharing, also provides the most dynamic damping of the oscillator system. To improve the accuracy of power sharing and to improve the voltage on the bus at load, this controller is combined with sliding mode control. Two inverters connected in parallel were used to perform the simulation and the control model. The results showed the effectiveness of the proposed technique on the conventional control. © 2022 IEEE.

关键词： controllers

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Power Loss Analysis of Energy Management System with Model Predictive control in Mae Hong Son Microgrid

Power Loss Analysis of Energy Management System with Model P...

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IEEE International Conference on Power Electronics, Intelligent control and Energy Systems (ICPEICES)

作者： Nattakit Prapanwattana Donlapat Dechawatanapaisal David Banjerdpongchai Abhishek Rajan Dept. of Electrical Engineering Faculty of Engineering Center of Excellence in Intelligent Control Automation for Process Systems Chulalongkorn University Bangkok Thailand Dept. of Electrical Engineering National Institute of Technology Sikkim South Sikkim India

ISBN: (数字)9798350387193

ISBN: (纸本)9798350387209

Energy management system (EMS) is an important tool for energy efficiency and reliability of the power system. The optimal power dispatch of energy resources can be obtained using the nonlinear model predictive control (NMPC). It is formulated as an optimization problem subject to linear and nonlinear constraints. Although the existing system works well under the current conditions, power loss has not been considered. Power loss in transmission lines occurs due to their resistance and a high amount of power flow to loads connecting to the system. The power loss leads to decreased efficiency in the electrical system and reduces the lifespan of equipment because of the high temperature from loss. This paper aims to analyze the power loss in the Mae Hong Son (MHS) microgrid. To achieve the research objectives, we employ the EMS of MHS with NMPC and calculate power loss in transmission lines for a period of 7 days. EMS considers three objective functions, namely, total operating cost, total carbon dioxide emission, and combined economic and emission dispatch and take into account of three seasons consisting of rainy, winter, and summer.

关键词： Resistance Power transmission lines Microgrids Propagation losses Power system reliability Reliability Energy management systems Power generation Load flow Predictive control

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