Application of In-Memory Computing to Online Power Grid Analysis
Mike Zhou, Donghao Feng · IFAC-PapersOnLine · 2018
To address the hard disk and network data I/O bottleneck issue in the large-scale online power grid analysis, an in-memory computing based power grid analysis approach is proposed in this paper. Typical in-memory computing application scenarios in the online power grid analysis are discussed. Using a large-scale online analysis network model as a sample case, in-memory computing simulations corresponding to the scenarios were performed, and the simulation results and analysis of the performance of the simulation are presented.