IEEE Open Access Journal of Power and Energy
Scope & Guideline
Leading the Charge in Open Access Energy Innovation
Introduction
Aims and Scopes
- Power System Modeling and Simulation:
Research that develops and analyzes models for power systems, including real-time simulations, electromagnetic transients, and stability assessments. - Renewable Energy Integration:
Focus on the integration of renewable energy sources such as wind and solar into existing power grids, including challenges and solutions related to intermittency and grid stability. - Energy Storage Systems and Technologies:
Exploration of various energy storage technologies, including battery systems, flywheels, and their applications in enhancing grid flexibility and reliability. - Smart Grids and Cybersecurity:
Investigation into smart grid technologies, including communication, automation, and cybersecurity measures necessary for protecting grid infrastructure. - Power Quality and Reliability:
Studies aimed at improving power quality and reliability in power systems, addressing issues such as voltage sags, harmonics, and fault detection. - Distributed Energy Resources (DER) Management:
Research focused on the management and optimization of distributed energy resources, such as microgrids, demand response, and electric vehicle integration. - Artificial Intelligence and Machine Learning Applications:
Application of AI and machine learning techniques for predictive analytics, optimization, and decision-making in power and energy systems.
Trending and Emerging
- Hybrid and Multi-Energy Systems:
Emerging interest in integrating multiple energy sources and technologies, such as hydrogen, solar, and wind, to create flexible and resilient energy systems. - Advanced Energy Storage Solutions:
Increased focus on novel energy storage technologies and their applications, including grid stability, frequency regulation, and energy arbitrage. - Cyber-Physical Systems in Energy Management:
Growing research into the integration of physical and digital systems for enhanced energy management, including the use of IoT and blockchain technologies. - Resilience and Risk Assessment:
A trend towards assessing the resilience of power systems against extreme events, emphasizing the need for robust infrastructure and adaptive strategies. - AI and Data Analytics for Energy Systems:
Rising applications of artificial intelligence and big data analytics to optimize operations, enhance predictive maintenance, and improve decision-making in energy systems. - Decentralized Energy Management:
Increasing emphasis on decentralized approaches for managing energy resources, particularly in microgrids and community energy systems.
Declining or Waning
- Traditional Power Generation Technologies:
Research on conventional power generation methods, such as coal and natural gas, has diminished as the focus shifts toward renewable sources and sustainability. - Basic Load Flow Studies:
Studies concentrating on fundamental load flow analysis have become less prominent, as more complex and integrated models are now preferred. - Reactive Power Compensation Techniques:
While still relevant, traditional reactive power compensation strategies are being overshadowed by advanced control methods that incorporate smart technologies and distributed resources. - Static Security Assessment:
Static security assessments are being replaced by dynamic modeling approaches that consider real-time data and operational flexibility, reflecting the evolving nature of power systems. - Conventional Fault Detection Methods:
There is a noticeable reduction in research focused on conventional fault detection methods, as newer, data-driven techniques gain traction.
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