This Research Topic is Volume II of a series. The previous volume, which has attracted over 3,600 views can be found here:
Flexibility Analysis and Regulation Technology of Clean Energy SystemThe primary problem of emission peak and carbon neutrality is the energy issue. The core of energy issue is to meet the power demand of economic and social development. It is necessary to establish a clean, low-carbon, controllable, flexible, and efficient renewable energy-based new power system with strong smart grid as the pivot platform under the basic premise of energy security. Under the social demands of energy conservation, emission reduction and efficiency enhancement, the proportion of renewable energy in the power systems is gradually rising. Power systems are more closely integrated with other energy systems. Thus, the difference in electricity demand of power users and the enthusiasm for market participation continue to increase. At the same time, the safe and reliable operation of power systems are facing more complex and diverse risks.
The output of large-scale and high-penetration new energy sources is highly uncertain, which brings great challenges to the safe and stable operation of new power systems. In response to this challenge in the new power system, it is necessary to take systematic measures to build a digitalized and intelligent power grid, and strengthen the multi-dimensional interaction and coordination between source-grid-load-storage. Based on technologies such as integrated energy systems, virtual power plants, and energy cyber-physical systems, it can realize predictive analysis, evaluation, quantification, and aggregated utilization of massive flexible and controllable resources on the demand side in the new power system. They form feasible and effective means to support the safe and stable operation of the renewable energy-based new power system with multi-energy coupling, thus contributing to the goal of emission peak and carbon neutrality.
This Research Topic includes but is not limited to the following areas:
1. Collaborative prediction for integrated energy systems considering multi-energy coupling
2. Optimal scheduling for integrated energy systems based on integrated demand response
3. Multi-time-scale optimal scheduling of integrated energy system considering multi-energy coupling
4. Regional integrated energy system economic dispatch model, technology and method
5. Integrated energy system collaborative planning considering source-load uncertainty
6. Integrated energy system reliability analysis and assessment model, technology and method
7. Integrated energy system load forecast software tools, system and platform development, and applications
