Improving the utilization rate of renewable energy and reducing the consumption of fossil energy are important ways for the distributed energy system to achieve clean, low-carbon, and high efficiency goals. However, renewable energy is characterized by randomness and is difficult to be utilized on a large scale. Moreover, regional loads are affected by environmental conditions, user behaviors, incentive policies, and other factors. In addition, the dynamic operation performances of each device in the distributed energy system are different, which leads to the remarkable multi-time scale characteristics of the system. All these factors bring great challenges to the research of distributed energy systems.
This Research Topic focuses on increasing the utilization rate of renewable energy through generalized energy storage, thereby improving the overall efficiency of the distributed energy system. Generalized energy storage includes traditional electricity storage, heat storage, and cold storage, as well as building energy storage, electric vehicles, hydrogen vehicles, etc. Through optimization and cooperative scheduling for multiple energy storage, the reliability and utilization rate of renewable energy can be improved. In addition, the friendly interaction between supply and demand can also be realized by characterizing the user's energy consumption behaviors (such as the travel rules of electric vehicles) and fully scheduling the user-side flexible loads.
This Research Topic aims to highlight the latest experimental, numerical, theoretical, and technological developments in energy storage and distributed energy systems, with the intent to provide a platform for researchers to exchange the latest advances. The primary areas of interest of this Research Topic include but are not limited to:
• integrated energy system or distributed energy system
• virtual power plant operation scheduling
• multiple energy storage
• user demand response
• optimization configuration and operation
• renewable energy consumption
• multi-time scale optimization operation
Keywords: energy storage, distributed energy system, flexible loads, optimization design, coordinate operation, renewable energy
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
