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research paper of electrical engineering

Solving the problem of hiring in STEM

The way in which researchers, scientists and engineers apply for jobs is very inefficient. Creating free online databases of candidates with filtering, ranking and video features could help to maximize reach and identify the most suitable person for each job offer much faster.

  • Mario Lanza
  • Naomi Godfrey
  • Victor Zhirnov

research paper of electrical engineering

Magnetoelectric microelectromechanical and nanoelectromechanical systems for the IoT

Magnetoelectric (ME) microelectromechanical and nanoelectromechanical systems (M/NEMS) are vital for addressing the challenges of the internet of things (IoT) networks in size, energy efficiency and communication. This Review delves into ME materials and M/NEMS for IoT applications, such as sensing and communication technologies.

  • A. R. Will-Cole
  • Nian X. Sun

research paper of electrical engineering

Autonomous interference-avoiding machine-to-machine communications

An article in IEEE Journal on Selected Areas in Communications proposes algorithmic solutions to dynamically optimize MIMO waveforms to minimize or eliminate interference in autonomous machine-to-machine communications.

research paper of electrical engineering

An electrocorticography-based speech decoder for neural speech prostheses

An article in Nature Machine Intelligence presents a neural signal-based speech decoding framework comprising interchangeable architectures for the electrocorticography decoder and a differentiable speech synthesizer.

  • Silvia Conti

Combining quantum and AI for the next superpower

Quantum computing can benefit from the advancements made in artificial intelligence (AI) holistically across the tech stack — AI may even unlock completely new ways of using quantum computers. Simultaneously, AI can benefit from quantum computing leveraging the expected future compute and memory power.

  • Martina Gschwendtner
  • Henning Soller
  • Sheila Zingg

research paper of electrical engineering

Transistor engineering based on 2D materials in the post-silicon era

This Review systematically compares 2DMs and silicon metal–oxide–semiconductor field-effect transistors technologies in the integrated circuits engineering process and presents potential solutions for channel, contact and dielectric engineering using 2DM to address the scaling challenges faced by a silicon-based device at the advanced tech node.

  • Senfeng Zeng
  • Chunsen Liu

research paper of electrical engineering

3D integration of 2D electronics

Since the most advanced nodes in silicon are reaching the limits of planar integration, 2D materials could help to advance the semiconductor industry. With the potential for use in multifunctional chips, 2D materials offer combined logic, memory and sensing in integrated 3D chips.

  • Darsith Jayachandran
  • Najam U Sakib
  • Saptarshi Das

research paper of electrical engineering

Memristor-based hardware accelerators for artificial intelligence

This Review summarizes latest advancements in memristor-based hardware accelerators, an energy-efficient solution for computing-intensive artificial intelligence algorithms, covering crossbar arrays, peripheral circuits, architectures and software–hardware co-designs. It analyses challenges and pathways for the transition of memristor technology to commercial products.

  • Takashi Ando
  • Qiangfei Xia

research paper of electrical engineering

Medical artificial intelligence should do no harm

Bias and distrust in medicine have been perpetuated by the misuse of medical equations, algorithms and devices. Artificial intelligence (AI) can exacerbate these problems. However, AI also has potential to detect, mitigate and remedy the harmful effects of bias to build trust and improve healthcare for everyone.

  • Melanie E. Moses
  • Sonia M. Gipson Rankin

Promoting women in tech

In the spirit of promoting gender equality, Sony, in partnership with Nature , has launched the ‘Sony Women in Technology Award’ to recognize and celebrate the remarkable women spearheading advancements in STEM.

research paper of electrical engineering

Tailoring materials, structures and fabrication processes for stretchable electronics

An article in Nature presents large-area, high-performance intrinsically stretchable electronics thanks to innovation in materials selection, fabrication processes, device engineering and circuit design.

research paper of electrical engineering

Van der Waals magnet integration for energy-efficient spintronics

An article in Science Advances reports an integrated van der Waals system that enables field-free electric control of the magnetization of Fe 3 GaTe 2 above room temperature.

After confronting one uncanny valley, another awaits

The ‘uncanny valley’ has guided robot engineers on the limits of human likeness, yielding design principles to mitigate the risk of creepy robots. Yet unease with advancements in AI has exposed a new ‘uncanny valley of mind’, with researchers now exploring acceptable boundaries on simulating human intelligence, emotion, empathy and creativity.

  • Jan-Philipp Stein
  • Karl F. MacDorman

research paper of electrical engineering

Applications of hyperspectral imaging technology in the food industry

Rational and scientific use of hyperspectral imaging involves the selection of appropriate imaging hardware and data analysis software. Sun et al. describe applications of hyperspectral imaging in food quality inspection and provide guidance for non-specialist researchers aiming to implement this technology.

  • Jingxiao Yu

research paper of electrical engineering

Power electronics in wind generation systems

This Review discusses the current capabilities and challenges facing different power electronic technologies in wind generation systems from single turbines to the system level. Several projects are reviewed to highlight areas of current research focus, and future trends of wind power generation are summarized.

  • Frede Blaabjerg
  • Liang Huang

research paper of electrical engineering

Blockchain technology for mobile multi-robot systems

Blockchain technology can be integrated into mobile multi-robot systems. This Perspective overviews the initial achievements, open challenges and research directions in the field of blockchain-based mobile multi-robot systems.

  • Marco Dorigo
  • Alexandre Pacheco
  • Volker Strobel

research paper of electrical engineering

Nature-inspired interfacial engineering for energy harvesting

Nature evolves intricate surfaces/interfaces to achieve high energy efficiency, providing a promising, low-carbon solution to energy crisis. This Review explores diverse energy processes in nature and how to translate nature’s inspiration to efficiently harvest energy from water, sunlight, heat and their hybrids, especially through interfacial engineering.

  • Baoping Zhang
  • Wanghuai Xu
  • Zuankai Wang

research paper of electrical engineering

A life in electrical engineering, glancing at biology

Evolution and interdisciplinarity are key words for Elisa Vianello, senior scientist and Edge AI program coordinator at CEA-Leti, who talks to Nature Reviews Electrical Engineering about her research activity and the importance of bridging the gap between academia and industry.

  • Elisa Vianello

research paper of electrical engineering

Spectral multiplication enables THz-tunable and broadband electro-optic combs

An article in Nature Communications presents a spectral multiplication approach to obtain THz-tunable and broadband electro-optic combs using integrated multi-wavelength semiconductor lasers.

research paper of electrical engineering

MXenes for multispectral electromagnetic shielding

Two-dimensional MXenes have emerged as state-of-the-art functional electromagnetic interference shielding materials in multispectral electromagnetic bands. Highly conductive and ultrathin films of MXenes can efficiently block electromagnetic waves from radiofrequency and gigahertz-range microwaves to terahertz or infrared-frequency waves.

  • Aamir Iqbal
  • Tufail Hassan
  • Chong Min Koo

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research paper of electrical engineering

Application of artificial intelligence in electrical power systems

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Electrical Engineering Open Access Journals

Our open access journals in Electrical Engineering cover topics such as power systems, smart grids, signal processing, or nano- and microelectronics - to name a few. Find a list of all journals here: 

Journal of Modern Power Systems and Clean Energy

The journal presents top-level academic achievements in the fields of modern power systems and clean energy by international researchers and engineers. 

More about the journal  | Read all articles |  Submission guidelines

Micro and Nano Systems Letters

The journal offers an express online publication of short research papers containing the latest advances in micro and nano-scaled devices and systems.  

Nano-Micro Letters

The journal reports on nano- or microscale science, technology, engineering and application in physics, chemistry, biology, material, pharmacy and their expanding interfaces with at least one dimension ranging from a few sub-nanometers to a few hundreds of micrometres.

More about the journal  | Read all articles | Submission guidelines

Open Geospatial Data, Software and Standard s

The journal provides an advanced forum for the science and technology of Open Data, Crowdsourced Geographic Information, Sensor Web and Open Science for Earth Remote Sensing. 

Photonic Sensors

The journal presents original, peer-reviewed articles that report on new developments of interest to members of the photonics and sensor communities in all fields of photonic sensing science and technology.

Protection and Control of Modern Power Systems

The journal presents new theories, technologies and top-level academic achievements in the field of protection and control in modern power systems.

Smart Water

The journal covers emerging domains which overlap the Information and Communication Technology (ICT) and the water domain.

EURASIP Journal on Advances in Signal Processing

The aim of the journal is to highlight the theoretical and practical aspects of signal processing in new and emerging technologies.                       

EURASIP Journal on Audio, Speech, and Music Processing

The journal brings together researchers, scientists, and engineers working on the theory and applications of the processing of various audio signals, with a specific focus on speech and music.

EURASIP Journal on Image and Video Processing

The scope of the journal covers all theoretical and practical aspects of the multidisciplinary field of image and video processing, from basic research to the development of applications.  

​​ More about the journal  | Read all articles |  Submission guidelines

EURASIP Journal on Information Security

The journal addresses all works whereby security is achieved through a combination of techniques from cryptography, computer security, machine learning and multimedia signal processing.   

EURASIP Journal on Wireless Communications and Networking

The overall aim of the journal is to bring together science and applications of wireless communications and networking technologies with an emphasis on signal processing techniques and tools.   

More about the journal  | Read all articles |  Submission guidelines ​​​​​​​

Not sure which open access journal is the most suitable one for your manuscript? Try our Journal Suggester, and don't forget to select "Fully Open Access journals".  ​​​​​​​

ELECTRICAL ENGINEERING RESEARCH PAPERS IEEE PAPER

Electrical engineering 2024.

Active Distribution Networks

Active distribution network will be able to highly integrate and utilize a variety of distributed energy through real-time control system and two-way communication network to improve system reliability and operational efficiency. Active distribution network concept is capable of real-time monitoring of whole grid and it may utilize the flexibility of distributed energy resources to enhance

four quadrant dc motor control technology

High performance motor drives are necessary parts of industrial applications. A motor drive system with high performance has special characteristics such as good dynamic speed command tracking and load regulating response. The methods of control are much simpler and less expensive than those of alternating current motors. Modelling and simulation of four quadrant operation of

HVAC High Voltage Alternating Current

Commissioning of HVAC systems in a campus building with regard to the indoor environment and energy performancefree downloadTodays HVAC systems in the building sector become more and more complex in order to fulfill the increasing standard of the indoor environment, which typically have many components, sub-systems, and controls. Commissioning is a quality-oriented process to Stage

supercharger

A supercharger is an air compressor that increases the pressure or density of air supplied to an internal combustion engine. This gives each intake cycle of the engine more oxygen, letting it burn more fuel and do more work, thus increasing power. Development of electric supercharger to facilitate the downsizing of automobile enginesfree downloadTo satisfy

IC INTERNAL COMBUSTION ENGINES

Combustion, also known as burning, is the basic chemical process of releasing energy from a fuel and air mixture. In an internal combustion engine (ICE), the ignition and combustion of the fuel occurs within the engine itself. The engine then partially converts the energy from the combustion to work. An internal combustion engine is a

electrical transmission technology

Electric power transmission is the bulk movement of electrical energy from a generating site, such as a power plant, to an electrical substation. The interconnected lines which facilitate this movement are known as a transmission network. Evaluation of electrical transmission concepts for large offshore wind farmsfree download Todays installed offshore wind farms have a relative

power transmission trends

Electrical structure of future off-shore wind power plant with a high voltage direct current power transmission free download General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide

electrical power transmission

Transmission and distribution refers to the different stages of carrying electricity over poles and wires from generators to a home or a business. The primary distinction between the two is the voltage level at which electricity moves in each stage. Scheduling maintenance of electrical power transmission networks using genetic programming free download Abstract The National Grid

SMART SOLAR INVERTER

Smart inverters are an emerging technology that can enable more efficient integration of distributed energy resources (DERs). Like traditional inverters, smart inverters convert the direct current output of solar panels into the alternating current that can be used by consumers in their homes and businesses Smart Solar Inverter free download The term solar smart inverter

Dynamic voltage restoration 2019

Dynamic voltage restoration is a method of overcoming voltage sags and swells that occur in electrical power distribution. These are a problem because spikes consume power and sags reduce efficiency of some devices. Dynamic Voltage Restorer for Compensation of Voltage Sagfree download Superiority of the output power delivered from the utilities has become a major

ELECTRICAL ENGINEERING 2017

Electrical engineering 2016, electrical engineering 2015, best electrical engineering research topics, electrical engineering papers, ieee projects 2022, seminar reports, free ieee projects ieee papers.

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Title and Author Information Abstract Introduction Literature Review Methods Results Discussion Conclusions References and Appendices

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Title and Author Information:

The title of your paper and any needed information about yourself (usually your name and institution).

A short (usually around 250-400 words) description of the paper. Should include what the purpose of the paper is (including the basic research question/problem), the basic design of your project, and the major findings.

Introduction:

A general introduction to your topic and what you expect to learn from your project or experiment. Your research question should be found here.

Literature Review:

An analysis of what has already been published about your chosen topic. Should be able to show how your research question fits into the context of your field.

A description of everything you did in your experiment or project, step-by-step. Needs to be detailed enough so that any reader would be able to repeat each step exactly on their own.

What actually happened during your project or what you found at the end of your experiment. This is usually the best part to include the majority of your graphs, photos, tables, and other visual aids, as long as they help explain the results of your work.

Discussion:

An analysis of the results that integrates what you found into the wider body of research in your field. Can also include future hypotheses to be tested or future projects to build from your own.

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Can be included in the discussion if necessary. A final summary of the paper, including whether or not you were able to answer your original research question.

References and Appendices:

The reference page(s) is a list of all the sources you used to research and create your project/experiment, including everything cited in the literature review and methods sections. Remember to use the same citation style throughout the paper. An appendix would include any additional information about your work that you were not able to include within the body of your paper (like large datasets and figures) that would help readers better understand your results.

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research paper of electrical engineering

Electrical engineers design the most sophisticated systems ever built. From computers with billions of transistors to microgrids fed by renewable energy sources, from algorithms that predict disease to solar cells and electric vehicles, electrical engineering touches all parts of modern society. We leverage computational, theoretical, and experimental tools to develop groundbreaking sensors and energy transducers, new physical substrates for computation, and the systems that address the shared challenges facing humanity.

Our research is interdisciplinary by nature, and has far-reaching effects on almost every field of human activity, including energy and climate, human health, communications and computation, finance and music. We make the future.

Research areas

Our research covers a wide range of topics of this fast-evolving field, advancing how machines learn, predict, and control, while also making them secure, robust and trustworthy. Research covers both the theory and applications of ML. This broad area studies ML theory (algorithms, optimization, …), statistical learning (inference, graphical models, causal analysis, …), deep learning, reinforcement learning, symbolic reasoning ML systems, as well as diverse hardware implementations of ML.

We develop the technology and systems that will transform the future of biology and healthcare. Specific areas include biomedical sensors and electronics, nano- and micro-technologies, imaging, and computational modeling of disease.

We develop the next generation of wired and wireless communications systems, from new physical principles (e.g., light, terahertz waves) to coding and information theory, and everything in between.

We design the next generation of computer systems. Working at the intersection of hardware and software, our research studies how to best implement computation in the physical world. We design processors that are faster, more efficient, easier to program, and secure. Our research covers systems of all scales, from tiny Internet-of-Things devices with ultra-low-power consumption to high-performance servers and datacenters that power planet-scale online services. We design both general-purpose processors and accelerators that are specialized to particular application domains, like machine learning and storage. We also design Electronic Design Automation (EDA) tools to facilitate the development of such systems.

We bring some of the most powerful tools in computation to bear on design problems, including modeling, simulation, processing and fabrication.

Educational technology combines both hardware and software to enact global change, making education accessible in unprecedented ways to new audiences. We develop the technology that makes better understanding possible.

Our research spans a wide range of materials that form the next generation of devices, and includes groundbreaking research on graphene & 2D materials, quantum computing, MEMS & NEMS, and new substrates for computation.

Our research focuses on solving challenges related to the transduction, transmission, and control of energy and energy systems. We develop new materials for energy storage, devices and power electronics for harvesting, generation and processing of energy, and control of large-scale energy systems.

Our field deals with the design and creation of sophisticated circuits and systems for applications ranging from computation to sensing.

Our research focuses on the creation of materials and devices at the nano scale to create novel systems across a wide variety of application areas.

Our work focuses on materials, devices, and systems for optical and photonic applications, with applications in communications and sensing, femtosecond optics, laser technologies, photonic bandgap fibers and devices, laser medicine and medical imaging, and millimeter-wave and terahertz devices.

Our work focuses on developing the next substrate of computing, communication and sensing. We work all the way from new materials to superconducting devices to quantum computers to theory.

Our research focuses on robotic hardware and algorithms, from sensing to control to perception to manipulation.

Signal processing focuses on algorithms and hardware for analyzing, modifying and synthesizing signals and data, across a wide variety of application domains. As a technology it plays a key role in virtually every aspect of modern life including for example entertainment, communications, travel, health, defense and finance.

From distributed systems and databases to wireless, the research conducted by the systems and networking group aims to improve the performance, robustness, and ease of management of networks and computing systems.

Our theoretical research includes quantification of fundamental capabilities and limitations of feedback systems, inference and control over networks, and development of practical methods and algorithms for decision making under uncertainty.

research paper of electrical engineering

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Finding Research Papers and Journal Articles in Electrical Engineering

This is a more complete listing of research databases for finding research papers and journal articles. It includes both restricted access subscription databases that are only available to current Illinois Tech students, faculty, and staff as well as some of the best and highest quality free public databases.

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Top 75 Emerging Research Topics in Electrical Engineering

Discover the cutting-edge frontiers of electrical engineering with our comprehensive list of the Top 75 Emerging Research Topics

ilovephd

In the ever-evolving realm of Electrical Engineering, innovative research continually drives the field’s progression, shaping our future technologies and solutions. As we step into an era dominated by AI, IoT, renewable energy, and more, the scope for innovative research widens. In this article, iLovePhD listed the top 75 emerging research topics in the field of Electrical Engineering.

1. Power Systems and Renewable Energy

1.1 smart grids and micro-grids.

a. Distributed control strategies for micro-grid management.

b. Blockchain applications for secure energy transactions in smart grids.

c. Resilience and robustness enhancement in smart grid systems against cyber threats.

d. Integration of renewable energy sources in micro-grids.

e. AI-based predictive maintenance for smart grid components.

1.2 Energy Harvesting and Storage

a. Next-gen battery technologies for energy storage systems.

b. Wireless power transfer and energy harvesting for IoT devices.

c. Super-capacitors and their applications in renewable energy storage.

d. Materials research for efficient energy conversion and storage.

e. Energy-efficient architectures for IoT devices powered by energy harvesting.

1.3 Electric Vehicles and Transportation

a. Charging infrastructure optimization for electric vehicles.

b. Vehicle-to-grid (V2G) technology and bidirectional power flow.

c. Lightweight materials and design for electric vehicle batteries.

d. Autonomous electric vehicle technology and its integration into smart cities.

e. Energy-efficient route planning algorithms for electric vehicles.

2. Communications and Networking

2.1 5g and beyond.

a. AI-driven optimization for 5G network deployment.

b. mmWave communication technologies and their implications.

c. Quantum communication for secure and high-speed data transfer.

d. 6G technology and its potential applications.

e. Edge computing and its role in 5G networks.

2.2 IoT and Wireless Sensor Networks

a. Energy-efficient protocols for IoT devices.

b. AI-enabled edge computing for IoT applications.

c. Security and privacy in IoT data transmission.

d. Integration of AI with IoT for intelligent decision-making.

e. Communication challenges in massive IoT deployment.

2.3 Satellite and Space Communications

a. Low Earth Orbit (LEO) satellite constellations for global connectivity.

b. Inter-satellite communication for improved space exploration.

c. Secure communication protocols for space-based systems.

d. Quantum communication for secure space-based networks.

e. Space debris mitigation and communication systems.

3. Control Systems and Robotics

3.1 autonomous systems.

a. AI-driven control for autonomous vehicles and drones.

b. Swarm robotics and their applications in various industries.

c. Human-robot collaboration in industrial settings.

d. Autonomous navigation systems for underwater vehicles.

e. Control strategies for multi-agent systems.

3.2 Biomedical and Healthcare Robotics

a. Robotics in surgical procedures and rehabilitation.

b. Wearable robotics for physical assistance and rehabilitation.

c. Robotic prosthetics and exoskeletons for enhanced mobility.

d. Telemedicine and remote healthcare using robotic systems.

e. Ethics and regulations in medical robotics.

3.3 Machine Learning and Control

a. Reinforcement learning for control system optimization.

b. Neural network-based adaptive control systems.

c. Explainable AI in control systems for better decision-making.

d. Control strategies for complex systems using deep learning.

e. Control system resilience against adversarial attacks.

4. Electronics and Nanotechnology

4.1 nano-electronics and quantum computing.

a. Quantum-resistant cryptography for future computing systems.

b. Development of reliable qubits for quantum computers.

c. Quantum error correction and fault-tolerant quantum computing.

d. Nano-scale transistors and their applications.

e. Hybrid quantum-classical computing architectures.

4.2 Flexible and Wearable Electronics

a. Stretchable electronics for wearable applications.

b. Smart textiles and their integration with electronic components.

c. Biocompatible electronics for healthcare monitoring.

d. Energy harvesting in wearable devices.

e. Novel materials for flexible electronic devices.

4.3 Neuromorphic Engineering and Brain-Computer Interfaces

a. Neuromorphic computing for AI and cognitive systems.

b. Brain-inspired computing architectures and algorithms.

c. Non-invasive brain-computer interfaces for diverse applications.

d. Ethics and privacy in brain-computer interface technology.

e. Neuroprosthetics and their integration with neural interfaces.

5. Signal Processing and Machine Learning

5.1 sparse signal processing.

a. Compressive sensing for efficient data acquisition.

b. Sparse signal reconstruction algorithms.

c. Sparse representations in machine learning.

d. Deep learning for sparse signal recovery.

e. Applications of sparse signal processing in various domains.

5.2 Explainable AI and Interpretability

a. Interpretable machine learning models for critical applications.

b. Explainable deep learning for decision-making.

c. Model-agnostic interpretability techniques.

d. Human-centric AI and its interpretability.

e. Visual and intuitive explanations in machine learning models.

5.3 Adversarial Machine Learning and Security

a. Robust deep learning models against adversarial attacks.

b. Adversarial machine learning in cybersecurity.

c. Detecting and mitigating adversarial attacks in AI systems.

d. Secure and private machine learning protocols.

e. Ethical considerations in adversarial machine learning.

As technology continues to redefine boundaries and explore new horizons, these research topics in Electrical Engineering stand at the forefront, ready to shape the future of our world. The amalgamation of these fields showcases the diversity and depth of possibilities waiting to be unlocked by the curious minds and diligent efforts of researchers and engineers in the years to come.

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  • Electronic design automation
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  • Grid stability
  • Health technology
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  • IoT devices
  • Microgrid technology
  • Molecular electronics
  • Nanoelectronics
  • Power systems
  • quantum computing
  • Quantum cryptography
  • Quantum internet
  • Remote Sensing
  • renewable energy
  • Smart buildings
  • Smart grids
  • Smart grids cybersecurity
  • Speech and audio processing
  • sustainable manufacturing
  • Terahertz electronics
  • VLSI design
  • Wearable technology
  • Wireless protocols

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research paper of electrical engineering

Electrical engineering, electronic engineering, information engineering topic list of research papers

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Abstract Sparse representation is a new signal analysis method which is receiving increasing attention in recent years. In this article, a novel scheme solving high range resolution profile automatic target recognition for ground moving targets is...

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Utilizing two models of the converter to eliminate the partial shading on solar panel: a comparative scheme between classical offline and advanced online control strategies

  • Original Paper
  • Published: 10 May 2024

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research paper of electrical engineering

  • Makbul A. M. Ramli 1 ,
  • Mustafa M. A. Seedahmed 1 ,
  • Ahmad H. Milyani 1 &
  • Houssem R. E. H. Bouchekara 2  

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In recent times, the single-stage photovoltaic (PV) system has gained notable attention due to its capacity to reduce installation costs and minimize overall energy losses. This paper introduces a comparative approach aimed at mitigating the impact of partial shading (PS) on PV surfaces by employing two modeling circuits of the DC–DC buck converter. The study begins by deriving the s-domain transfer function of the converter through data fitting techniques. It proceeds with a comprehensive assessment of the linear time-invariant (LTI) and nonlinear circuit (NLC) models, exploring their behavior under diverse weather conditions. Subsequently, two control strategies are employed to activate these converters: (1) model predictive control (MPC), representing advanced control methods, and (2) proportional–integral–derivative (PID) control, a robust and classical control technique. To conduct the simulations, MATLAB Simulink is utilized, with the primary objectives of regulating the DC output voltage for both converter models (NLC and LTI) and accurately tracking the maximum power point (MPP) using both MPC and PID controllers. The results obtained reveal that in the case of the LTI model, when triggered by MPC, the converter exhibits efficient regulation of the output voltage and precise MPP tracking even under varying transient conditions, as demonstrated by the trajectory. However, when controlling the NLC model with a PID controller, higher oscillations are observed due to inherent system nonlinearity and the effects of IGBT triggering events. This research provides valuable insights into the performance of single-stage PV systems under partial shading scenarios and highlights the effectiveness of advanced control techniques, such as MPC, in improving system stability and MPP tracking. Additionally, it underscores the challenges posed by nonlinearity in the NLC model when employing PID control.

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research paper of electrical engineering

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Acknowledgements

This project was funded by the Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah, under Grant No. (G: 471-135-1442). The authors, therefore, acknowledge with thanks DSR for technical and financial support.

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Makbul A. M. Ramli, Mustafa M. A. Seedahmed & Ahmad H. Milyani

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Utilizing two models of the converter to eliminate the partial shading on solar panel: A comparative scheme between classical offline and advanced online control strategies (Makbul A.M. Ramli), (Mustafa M.A. Seedahmed), (Ahmad H.Milyani), (Houssem R.E.H. Bouchekara). CRediT author statement: Mustafa M.A. Seedahmed contributed to conceptualization, methodology, software, validation, formal analysis, investigation, writing-original draft, writing-review & editing, visualization, and data curation. Makbul A.M. Ramli contributed to supervision, resources, investigation, validation, conceptualization, and project administration. Ahmad H. Milyani done supervision. Houssem R.E.H. Bouchekara helped in writing-review & editing, project administration, and funding acquisition. Corresponding author: Mustafa M.A. Seedahmed (e-mail: [email protected]).

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Ramli, M.A.M., Seedahmed, M.M.A., Milyani, A.H. et al. Utilizing two models of the converter to eliminate the partial shading on solar panel: a comparative scheme between classical offline and advanced online control strategies. Electr Eng (2024). https://doi.org/10.1007/s00202-024-02380-1

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