Storage-calculation fusion technology aims to integrate storage and computing functions into the same generation of hardware units, in order to reduce data transmission between storage and computing units, decrease latency and power consumption, and enhance processing efficiency. In the application of power grids, this technology is particularly crucial. This paper outlines the three major application models of storage-calculation fusion technology: in-memory computing, in-storage computing, and storage-calculation integration, and analyzes the core algorithms and advantages. Additionally, the paper matches these algorithms with the characteristics and requirements of power application scenarios. Furthermore, this paper proposes that future breakthroughs should be achieved in both basic algorithmic research and the practical implementation of algorithms in application fields.