Collaborative optimization strategy of source‐grid‐load‐storage considering dynamic time series complementarity of multiple storages

Abstract

The multi‐scale flexibility coordination of multiple storages is a key technology to enhance the diversified regulation ability of the power system. This paper first considers the interaction mechanism of multi‐type storage peak regulation time sequences based on the Euclidian distance, dynamic time warping distance, and storage correlation distance. A matching index was proposed to consider the temporal correlation, overall distribution characteristics, and dynamic characteristics of the net load and energy storage. The multitype storage coordination mode, including battery storage, pumped storage, and electric vehicles, was formulated, and a collaborative optimal scheduling system architecture of source‐grid‐load‐storage (SGLS) was constructed. To attain a low‐carbon economy, a collaborative optimal scheduling model of SGLS considering the dynamic time‐series complementarity of multiple energy storage systems was constructed. The Nash equilibrium theory was used to achieve friendly interaction among the source, grid, load, and storage. Then, an improved transfer reinforcement learning algorithm for SGLS was proposed, which used reinforcement learning and transfer learning algorithms combined with K‐means clustering and dual‐structure experience pool technology. The test results of actual regional power grid data indicated that the proposed strategy can effectively reduce the economic and carbon treatment costs of the system and improve the absorption capacity of renewable energy.

Integrated Planning and Operation Dispatching of Source–Grid–Load–Storage in a New Power System: A Coupled Socio–Cyber–Physical Perspective

“…By thoroughly analyzing the distribution and output characteristics of diverse energy resources, effective collaborative operation schemes can be devised among fossil and renewable energy sources, along with energy storage devices [86,87]. The coordinated and complementary operation of multiple energy sources is enabled, as depicted in Figure 9, and overall energy utilization efficiency is enhanced and the capacity for renewable energy consumption is bolstered [88]. Besides ensuring a stable power supply, it also contributes to mitigating environmental impacts [85,89], thereby fostering the development of a cleaner, more efficient, and sustainable power system.…”