Details

Autor(en) / Beteiligte

• Gharebaghi, Sina
• Chaudhuri, Nilanjan Ray
• He, Ting
• La Porta, Thomas

Titel

An approach for fast cascading failure simulation in dynamic models of power systems

Ist Teil von

• Applied energy, 2023-02, Vol.332, p.120534, Article 120534

Ort / Verlag

Elsevier Ltd

Erscheinungsjahr

2023

Link zum Volltext

Quelle

Elsevier ScienceDirect Journals Complete

Beschreibungen/Notizen

• The ground truth for cascading failure in power system can only be obtained through a detailed dynamic model involving nonlinear differential and algebraic equations whose solution process is computationally expensive. This has prohibited adoption of such models for cascading failure simulation. To solve this, we propose a fast cascading failure simulation approach based on implicit Backward Euler method (BEM) with stiff decay property. Unfortunately, BEM suffers from hyperstability issue in case of oscillatory instability and converges to the unstable equilibrium. We propose a predictor–corrector approach to fully address the hyperstability issue in BEM. The predictor identifies oscillatory instability based on eigendecomposition of the system matrix at the post-disturbance unstable equilibrium obtained as a byproduct of BEM. The corrector uses right eigenvectors to identify the group of machines participating in the unstable mode. This helps in applying appropriate protection schemes as in ground truth. We use Trapezoidal method (TM)-based simulation as the benchmark to validate the results of the proposed approach on the IEEE 118-bus network, 2383-bus Polish grid, and IEEE 68-bus system. The proposed approach is able to track the cascade path and replicate the end results of TM-based simulation with very high accuracy while reducing the average simulation time by ≈10−35 fold. The proposed approach was also compared with the partitioned method, which led to similar conclusions. •Fast dynamic cascading failure simulation approach using Backward Euler method (BEM).•Hyperstability of BEM addressed through a new predictor–corrector (PC) approach.•Adaptive Center of Inertia (COI) frame for faster convergence of Newton iterations.•Comprehensive comparison of proposed BEM-PC approach against state-of-art.•BEM-PC replicates cascade path and end-results with ≈10−35-fold average speedup.