A Heterogeneous Multiscale Method for Power System Simulation Considering Electromagnetic Transients
Kaiyang Huang, Min Xiong, Yang Liu, Kai Sun, Feng Qiu

TL;DR
This paper introduces a heterogeneous multiscale method that efficiently simulates power systems with electromagnetic transient dynamics by dynamically switching between detailed and simplified models, significantly reducing computation time.
Contribution
It proposes a novel multiscale simulation approach that adaptively combines micro and macro models for accurate and fast power system analysis considering EMT effects.
Findings
The method accurately captures EMT dynamics during critical intervals.
It achieves faster simulation times compared to traditional EMT modeling.
Demonstrated effectiveness on a two-machine power system model.
Abstract
Traditional dynamic security assessment faces challenges as power systems are experiencing a transformation to inverter-based-resource (IBR) dominated systems, for which electromagnetic transient (EMT) dynamics have to be considered. However, EMT simulation is time-consuming especially for a large power grid because the mathematical model based on detailed component modeling is highly stiff and needs to be integrated at tiny time steps due to numerical stability. This paper proposes a heterogeneous multiscale method (HMM) to address the simulation of a power system considering EMT dynamics as a multiscale problem. The method aims to accurately simulate the macroscopic dynamics of the system even when EMT dynamics are dominating. By force estimation using a kernel function, the proposed method automatically generates a macro model on the fly of simulation based on the micro model of EMT…
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.
Taxonomy
TopicsElectromagnetic Simulation and Numerical Methods · HVDC Systems and Fault Protection · Numerical methods for differential equations
