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Journal of Electrical & Electronic Systems

ISSN: 2332-0796

Open Access

Volume 12, Issue 1 (2023)

Mini Review Pages: 1 - 2

Next-Generation Smart Grids: Transforming Power Distribution for a Sustainable Energy Future

Jorge Sousi*

DOI: 10.37421/2332-0796.2023.12.41

This article explores the transformative potential of next-generation smart grids in revolutionizing power distribution for a sustainable energy future. Smart grids are intelligent power distribution networks that integrate advanced communication, control, and monitoring technologies to optimize the generation, distribution, and consumption of electricity. This article presents a comprehensive overview of the key components, features, and benefits of smart grids, emphasizing their role in facilitating the integration of renewable energy sources, enhancing grid reliability, and empowering consumers. Furthermore, it discusses the challenges and opportunities associated with the widespread adoption of smart grids, highlighting the need for robust cyber security measures and regulatory frameworks. Through a review of relevant literature and case studies, this article provides valuable insights into the current state, advancements, and future directions of next-generation smart grids.

Mini Review Pages: 1 - 2

Integration of Renewable Energy Sources in Power Systems: Challenges and Solutions

Hana Martins*

DOI: 10.37421/2332-0796.2023.12.42

The integration of renewable energy sources into power systems has gained significant attention in recent years due to the growing need for sustainable and clean energy solutions. However, this integration presents several challenges that must be addressed to ensure the reliable and efficient operation of power systems. This article explores the key challenges associated with the integration of renewable energy sources and provides solutions and strategies to overcome them. It covers aspects such as intermittency, grid stability, energy storage, and policy frameworks. By understanding and addressing these challenges, power systems can successfully integrate renewable energy sources and contribute to a more sustainable future. The article emphasizes the need for collaborative efforts among stakeholders, technological advancements, and supportive regulatory frameworks to overcome these challenges. The integration of renewable energy sources in power systems has become a pressing issue in recent years due to the growing demand for clean and sustainable energy. Renewable energy sources such as solar, wind, hydro, and biomass offer numerous advantages over traditional fossil fuels, including lower greenhouse gas emissions and a virtually unlimited supply. However, their intermittent and variable nature poses significant challenges for power system operators and planners.

Commentary Pages: 1 - 2

Emerging Technologies in Power Electronics for Energy Efficiency and Power Quality Improvement

Hayami Kaneko*

DOI: 10.37421/2332-0796.2023.12.43

Power electronics plays a critical role in enhancing energy efficiency and improving power quality in various applications, including renewable energy systems, electric vehicles, and industrial power systems. This article explores the emerging technologies in power electronics that are driving advancements in energy efficiency and power quality improvement. It discusses key trends, such as wide-bandgap semiconductor devices, advanced control techniques, and innovative converter topologies. The article also highlights the benefits and challenges associated with these emerging technologies and their potential impact on power system performance. By embracing these technologies, power electronics can significantly contribute to achieving a more sustainable and reliable energy infrastructure. Power electronics is a field that focuses on the efficient conversion and control of electrical power. With the increasing demand for energy efficiency and the need for higher power quality, researchers and engineers have been developing and implementing innovative power electronics technologies. These technologies offer enhanced performance, improved energy utilization, and better power quality in various sectors, including renewable energy systems, electric vehicles, industrial applications, and smart grids.

Perspective Pages: 1 - 2

Electrical Systems Real-Time Control and Monitoring with Wireless Sensor Networks

Rudy Kahsar*

DOI: 10.37421/2332-0796.2023.12.44

Wireless Sensor Networks (WSNs) have emerged as a promising technology for real-time monitoring and control in electrical systems. This article explores the application of WSNs in electrical systems, highlighting their benefits and challenges. It discusses the architecture, deployment, and communication protocols of WSNs for electrical system monitoring. The article also examines the various sensors used in WSNs to collect data on electrical parameters, fault detection, and system performance. Furthermore, it discusses the integration of WSNs with control systems, enabling real-time decision-making and control actions. The challenges associated with WSNs, such as energy efficiency, network scalability, and data security, are also addressed. By leveraging WSNs, electrical systems can achieve enhanced monitoring, control, and optimization, leading to improved efficiency, reliability, and safety. WSNs consist of a large number of spatially distributed sensor nodes that communicate wirelessly to collect and transmit data. In the context of electrical systems, WSNs offer a decentralized and wireless solution for real-time control and monitoring, eliminating the need for extensive wired infrastructure and enabling flexible deployment.

Short Communication Pages: 1 - 2

Artificial Intelligence in Power System Operation and Optimization: Current Trends and Future Directions

Freddie Harvey*

DOI: 10.37421/2332-0796.2023.12.45

Artificial Intelligence (AI) has emerged as a transformative technology in power system operation and optimization. With the increasing complexity and variability of modern power systems, AI techniques offer powerful tools for enhancing system performance, optimizing energy generation and consumption, and enabling efficient grid operation. This article provides an overview of the current trends and future directions of AI in power system operation and optimization. It explores the application of AI techniques such as machine learning, deep learning, and optimization algorithms in various aspects of power system operation, including load forecasting, fault detection, energy scheduling, and grid stability. The article also discusses the challenges and opportunities associated with AI adoption in the power sector and outlines potential future directions for AI-driven power system operation and optimization.

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