A Review of High-Performance Computing Methods for Power Flow Analysis

Power flow analysis is critical for power systems due to the development of multiple energy supplies. For safety, stability, and real-time response in grid operation, planning, systems, it requires designing high-performance computing methods, accelerating calculation, obtaining voltage magnitude phase angle buses inside system, coping with increasingly complex large-scale system. This paper provides an overview available parallel methods fix issues. Specifically, these can be classified into three categories from a hardware perspective: multi-cores, hybrid CPU-GPU architecture, FPGA. In addition, perspective numerical computation, algorithm generally iterative direct methods. review introduces models architectures then compares their performance calculations depending on different platforms. Furthermore, this analyzes challenges pros cons guidance how exploit parallelism future applications.