Renewable energy advancements have revolutionized the management of clean energy resources, necessitating sophisticated monitoring and control systems. With the increasing prevalence of renewables like solar, wind, and hydro, their integration into the grid becomes more complex. The current state-of-the-art monitoring utilizes sensors and the Internet of Things (IoT) to provide real-time data on production and system conditions. The integration of artificial intelligence (AI) and machine learning has further refined control strategies, enabling automated decision-making for optimal energy dispatch and grid stability. While these improvements are pivotal for maximizing renewable efficiency and resilience, they face challenges such as production variability, grid integration complexities, and the need for advanced controls to ensure system reliability and efficiency. Tackling these challenges is imperative for the continuous integration of renewables and the achievement of sustainability goals.
The central goal of this research topic is to amalgamate advanced technologies to foster smart modernization and achieve carbon neutrality. In response to emerging application demands like distributed battery management, vulnerability in photovoltaic systems, inertia estimation, detection and control of broadband oscillation, and incipient fault detection, a myriad of advanced considerations and methodologies are being explored and implemented. The objective is to address these challenges comprehensively and enhance the operational and control efficiency of power systems. To keep pace with the ever-evolving landscape of the power system, novel technologies and capabilities are essential. This includes high-fidelity measurements, transformative approaches, big data perception of the power grid, and the integration of distributed control.
This research aims to explore innovative technologies in the interactions of renewable energy systems, urban sustainability, and carbon neutrality. We welcome original research and review papers examining the uses of approaches in the context of smart grid monitoring, situational awareness and control. Some specific themes that potential contributors can address may include, but are not limited to:
1. Advanced sensing technology;
2. Wide-area monitoring system;
3. Power system situational awareness;
4. Cyber security of power system;
5. Intelligent control for the reliable operation of distribution systems;
6. Power system control and planning;
7. Reliability and security of AI applications in smart grids;
8. Smart grid and carbon emission evaluation technologies;
9. Monitoring and control of energy storage systems.
Renewable energy advancements have revolutionized the management of clean energy resources, necessitating sophisticated monitoring and control systems. With the increasing prevalence of renewables like solar, wind, and hydro, their integration into the grid becomes more complex. The current state-of-the-art monitoring utilizes sensors and the Internet of Things (IoT) to provide real-time data on production and system conditions. The integration of artificial intelligence (AI) and machine learning has further refined control strategies, enabling automated decision-making for optimal energy dispatch and grid stability. While these improvements are pivotal for maximizing renewable efficiency and resilience, they face challenges such as production variability, grid integration complexities, and the need for advanced controls to ensure system reliability and efficiency. Tackling these challenges is imperative for the continuous integration of renewables and the achievement of sustainability goals.
The central goal of this research topic is to amalgamate advanced technologies to foster smart modernization and achieve carbon neutrality. In response to emerging application demands like distributed battery management, vulnerability in photovoltaic systems, inertia estimation, detection and control of broadband oscillation, and incipient fault detection, a myriad of advanced considerations and methodologies are being explored and implemented. The objective is to address these challenges comprehensively and enhance the operational and control efficiency of power systems. To keep pace with the ever-evolving landscape of the power system, novel technologies and capabilities are essential. This includes high-fidelity measurements, transformative approaches, big data perception of the power grid, and the integration of distributed control.
This research aims to explore innovative technologies in the interactions of renewable energy systems, urban sustainability, and carbon neutrality. We welcome original research and review papers examining the uses of approaches in the context of smart grid monitoring, situational awareness and control. Some specific themes that potential contributors can address may include, but are not limited to:
1. Advanced sensing technology;
2. Wide-area monitoring system;
3. Power system situational awareness;
4. Cyber security of power system;
5. Intelligent control for the reliable operation of distribution systems;
6. Power system control and planning;
7. Reliability and security of AI applications in smart grids;
8. Smart grid and carbon emission evaluation technologies;
9. Monitoring and control of energy storage systems.