ABSTRACT
This chapter focuses on power system computation. High-performance computing (HPC) is considered one of the fundamental technologies in meeting the computational challenges in smart grid planning and operation. Advanced smart grid applications will create an enormous computational challenge. In particular, the types of real-time simulations and analyses drive the need for HPC power. Two examples of HPC-enabled new functions are presented in the following: dynamic state estimation (SE) and real-time path rating. Power system SE is a core energy management system (EMS) function that is used to estimate grid states based on field measurement data. The SE outputs are critical for system operations and subsequent EMS functions. HPC also enables the development of new smart grid applications by integrating dynamic analysis into real-time grid operations and by moving off-line analyses to online applications. Modeling of grids today is typically performed on a first-principle-based approach to describe the grid connectivity and associated parameters at the bulk transmission level.
