Research on the Intensive Construction Plan of Edge Cluster for Digital Converter Station

Edge cluster construction is one of the key tasks in the digital transformation of converter stations. Traditional systems at the edge of converter stations suffer from issues such as independent, scattered software and hardware, bloated storage, and low computing efficiency. To address these problems, this paper conducts research on the intensification of edge clusters for digital converter station transformation. Firstly, the ARM-based edge cluster architecture is proposed, integrating resources within the edge cluster by leveraging the existing software and hardware of the station. Secondly, considering the storage resource allocation requirements within the edge cluster, the existing storage methods are improved based on a resource pool to further reduce the storage space occupied by data management. Thirdly, the computational resources within the edge cluster are analyzed, and dynamic scheduling methods for these resources are studied to meet the computing needs of different applications. Through the research presented in this paper, the intensive construction and efficient resource allocation of edge clusters can be achieved, significantly reducing the construction cost of the platform's edge systems and improving operational efficiency.