CORTEXA
← Browse
arxiveess.SY2026-07-07

Criteria-Aware EMT-Based Short-Term Voltage Performance Index for Dynamic Assessment of Inverter-Dominated Power Systems

Mohammad Almomani, Venkataramana Ajjarapu

The increasing penetration of inverter-based resources (IBRs) into bulk power systems has fundamentally altered short-term voltage dynamics following disturbances. Conventional short-circuit capacity (SCC) metrics provide a useful screening indicator of grid strength but are unable to fully capture post-disturbance voltage behavior at buses with dynamic loads, converter controls, or protection interactions. A bus with high SCC may still experience deep voltage dips, delayed recovery, or transient overvoltage that violates operating criteria. This paper proposes the Short-Term Voltage Performance Index (STVPI), an electromagnetic-transient (EMT)-based, criteria-aware metric that quantifies the quality of the post-disturbance voltage waveform relative to user-defined performance limits. STVPI processes voltage signals at the half-cycle level by computing a weighted log-amplitude ratio between the actual waveform and an ideal half-sine reference. Monotonic recovery envelopes on the overvoltage and undervoltage sides are compared against half-normal reference distributions using Kullback--Leibler (KL) divergence, normalized by the KL divergence of the critical voltage envelope, yielding two directional indices -- $\mathrm{STVPI}^{+}$ and $\mathrm{STVPI}^{-}$ -- whose combination produces a baseline-corrected scalar severity score. Bus-level and event-level aggregation derive BSTVPI and ESTVPI, enabling simultaneous identification of dynamically weak buses and critical fault contingencies. The framework is validated on the IEEE 9-bus and 39-bus test systems with IBR integration.

View free PDFSource page

Related papers

arxiveess.SY2026-07-08

A Physics-Informed Neural Network for Small-Signal Stability in Multi-Inverter Power Systems

Hanxi Chen, Xiangyu Meng, Jianhong Wang, Yue Zhu

The whole-system impedance model has proven a powerful tool for assessing the small-signal stability of multi-inverter power systems; however, its application is limited to a small range around a steady-state operating point due to the inherent assumptions of time invariance and…

View free PDFSource page
arxiveess.SY2026-07-10

Inertia-Aware Optimal Power Flow Using PINN in IBR-Dominated Power Systems

Mahyar Tofighi-Milani, Sajjad Fattaheian-Dehkordi, Franz Martin Rohrhofer, Matti Lehtonen

The problem of Optimal Power Flow (OPF) is central to the secure and economic operation of modern power systems. However, increasing renewable energy penetration, and decreasing system inertia pose significant challenges to conventional optimization-based OPF solvers. While machi…

View free PDFSource page
arxiveess.SY2026-07-09

A graph theoretic view on small signal stability of inverter-based power grids

Iva Bačić, Jakob Niehues, Philipp C. Böttcher, Cai Dieball, Leonardo Rydin Gorjão, Andrea Benigni, et al.

Dynamic grid stability is traditionally ensured with synchronous generators. Modern grids rely substantially more on inverter-based resources, which require grid-forming control to guarantee adequate system-wide synchronization and stability. Small-signal stability has granted va…

View free PDFSource page
arxiveess.SY2026-07-15

Transformer is All You Need: Attention-Based Anomaly Detection and Classification in Inverter-Rich Power Systems

Emad Abukhousa, Saman Zonouz, A. P. Sakis Meliopoulos

Inverter-based resources and IEC 61850 process-bus measurements introduce new protection challenges, including nontraditional fault behavior and measurement-domain cyber-physical attacks. This paper evaluates DL-Xformer, an attention-based Transformer classifier for multi-class f…

View free PDFSource page
arxiveess.SY2026-07-11

Geometric Decentralized Stability Certificate of Power Electronics-Dominated Power Systems Covering Variable Operating Points

Ruohan Leng, Linbin Huang, Liangxiao Luo, Huanhai Xin, Xiongfei Wang, Florian Dörfler

The integration of power converters is profoundly changing the power system dynamics and poses significant challenges for stability analysis. The dynamic interactions between the power grid and the heterogeneous converters are highly complex and difficult to analyze due to the cu…

View free PDFSource page
arxiveess.SY2026-07-07

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources

Sungjoo Chung, Ying Zhang, Meng Yue, Hantao Cui

Black-box modeling of inverter-based resources (IBRs) has attracted growing interest for real-time grid operation and control in the presence of proprietary electronic control architectures. Existing machine learning (ML)-based online dynamic trajectory prediction approaches usin…

View free PDFSource page