An Optimization Method for Source-Network-Load-Storage Aggregation in Industrial Parks

The global power system is gradually moving to a new stage of fully adapting to large-scale and high proportion of renewable energy access. This change marks that the construction of efficient, clean and flexible new power system has emerged as an unavoidable trend of the development of The Times. However, this trend follows not only unprecedented opportunities for development, but also increasingly prominent risks and challenges. Existing industrial park distributed energy scheduling and management methods failed to effectively consider network security constraints, source network load storage resources collaborative scheduling is not flexible and high proportion of renewable energy access lead to power quality and power grid stability problems, and how to realize in the complex grid environment safe and efficient energy optimization regulation. Therefore, how to effectively manage risks while seizing the opportunity has turned into a crucial issue to be resolved during the course of power system transformation and upgrading. The optimal regulatory approach for the integration of source, network, load, and storage in industrial parks constructs a flexible and adjustable model by uniformly representing the power regulation attributes of source, network, load, and storage resources. This enhances the flexibility and adaptability of the power system in the context of large-scale renewable energy integration and enables better management of the challenges associated with the variability and randomness of renewable energy output.