A Predictor-Corrector Method for Power System Variable Step Numerical Simulation

TL;DR

This paper introduces a predictor-corrector numerical method for power system simulations that improves accuracy and efficiency by adaptively tuning step lengths based on error estimation, outperforming conventional methods.

Contribution

A novel predictor-corrector approach for power system simulation that adaptively adjusts step size using error estimates from Adams-Moulton and Trapezoidal methods.

Findings

Provides more precise simulation results

Achieves higher efficiency with adaptive step tuning

Outperforms conventional variable step methods

Abstract

This letter proposes a predictor-corrector method to strike a balance between simulation accuracy and efficiency by appropriately tuning the numerical integration step length of a power system time-domain simulation. Numerical tests indicate that, by estimating the truncation error for step length tuning based on the 2-Step Adams-Moulton method and the implicit Trapezoidal method, the proposed method can provide much more precise results at little cost of efficiency compared to a conventional variable step method based on Newton's method.