Advanced Dynamics, Control and Management in Renewable Energy and Storage Systems 2021
1Qingdao University, Qingdao, China
2Technical University of Denmark, Copenhagen, Denmark
3Zhejiang University of Technology, Hangzhou, China
4Dalian Jiaotong University, Dalian, China
5Dalian Ocean University, Dalian, China
Advanced Dynamics, Control and Management in Renewable Energy and Storage Systems 2021
Description
The increase in energy consumption in recent years has generated problems for power systems and the environment. Power systems must face a growing demand, and this entails problems in energy storage, renewable energies, electric vehicles, nanogenerator and so on. In many cases, the need to preserve system reliability and stability is a bottleneck, which practically prevents the use of such sources, despite their positive environmental impact and low cost. In addition, power systems with a high penetration level of renewable energy sources will have different topologies, control methods, and management strategies.
The increasing penetration of stochastic and uncertain inverter-based distributed energy resources (DERs), such as wind and solar PV, has a considerable influence on the power system dynamics, causing reliability and resiliency concerns. These will need innovations in power system modelling, operation and control in order to deal with these newly emerging challenges. In addition, the coordinated control among different devices typically rely on communication systems. The communication-control coupled systems brings both opportunities and challenges to the future development of DER-rich power systems.
This Special Issue will focus on Advanced Dynamics, Control and Management in Renewable Energy and Storage Systems (Wind, solar, supercapacitor and fuel cell). We invite papers on innovative technical developments, reviews, case studies, and theoretical papers from different disciplines, which are relevant to renewable energy systems. Original research and review articles are both welcome.
Potential topics include but are not limited to the following:
- Energy storage technologies and systems
- Artificial Intelligence for industrial process optimization
- Optimization of industrial applications and energy systems
- Computational intelligence and optimization
- Artificial intelligence for renewable energies
- Plug-in Hybrid Electric Vehicle (PHEV) systems, CNG Vehicles, clean Energy
- Power Electronic converters and drives
- Demand monitoring and energy Efficient Systems
- Sensors, communications and network
- Big data for industrial and energy systems
- Modelling of communication-control coupled systems
- Frequency regulation in low inertia systems with high wind penetration
- Grid modeling, simulation, and data management
- Energy efficiency, conservation, and savings
- Grid protection, reliability, energy / power quality and maintenance
- Smart metering, measurement, instrumentation, and control
- Renewable energy, wind, solar, fuel cells and distributed generation within microgrids
- Life cycle assessment, pricing, policies, and energy planning