Quantifying and Improving the Accuracy of Electromagnetic Transient-Transient Stability Hybrid Simulation
Bin Wang, Qiang Zhang, Xiaochuan Luo, Slava Maslennikov, Mingguo Hong, Xinghao Fang, Tongxin Zheng

TL;DR
This paper introduces an error index for EMT-TS hybrid power system simulations, identifies conditions causing inaccuracies, and proposes methods to enhance simulation fidelity in large-scale grids.
Contribution
It develops a new error quantification method, analyzes hybrid simulation accuracy, and proposes interface expansion and a three-sequence model to improve results.
Findings
The error index effectively quantifies hybrid simulation inaccuracies.
Conditions for hybrid simulation errors are identified.
Proposed interface expansion improves simulation accuracy.
Abstract
The increasing penetration of inverter-based resources introduces new dynamic challenges to modern power grids, such as sub- and super-synchronous oscillations and other faster dynamics. These dynamics are typically fast in nature and are difficult to accurately model and analyze using standard transient stability (TS) methods, necessitating the need for electromagnetic transient (EMT) analysis. However, EMT simulations are notoriously slow for large-scale grids due to both equation formulations and computational limitations. To overcome this challenge, EMT-TS hybrid simulation is often used, since it offers a balanced trade-off between accuracy and speed, making it feasible to perform EMT analysis on large systems. One open question about EMT-TS hybrid simulation is the accuracy of the EMT-TS boundary or interface. This paper introduces an error index to quantify EMT-TS hybrid…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
