A Parallel Reduced-Space Interior Point Method With Orthogonal Collocation for First-Swing Stability Constrained Emergency Control

Abstract

First-swing stability constrained emergency control (FSCEC) enhances power system transient stability during large disturbances, but is difficult to solve for larger systems because of its computational complexity. The method proposed in this work guarantees first swing transient stability by using a parallel reduced-space interior point method (IPM) with orthogonal collocation to solve FSCEC problems. This novel algorithm discretizes differential-algebraic equations using orthogonal collocation, which leads to a relatively low problem dimension, and accelerates the optimization process through a reduced-space technique by utilizing the property of small degrees of freedom after numerical discretization. Furthermore, a two-level parallelism is explored in reduced-space IPM (RIPM) algorithm and implemented with state-of-the-art parallelization techniques. The proposed approach was benchmarked on a Beowulf cluster with 64 CPU cores to show its excellent computational efficiency.