Online estimation of thévenin equivalent using discrete fourier transform

Sobhy, Abdelrahman; Saeed, Mohammed A.; Eladl, Abdelfattah A.; Abdelkader, Sobhy M.

doi:10.1016/j.epsr.2022.107772

Cited by 8 publications

(1 citation statement)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Subsystem 2 has a relatively small equivalent impedance, and thus, is represented as controlled voltage sources (in Subsystem 1). If system impedance cannot be evaluated in a simple manner, the methods proposed in [46], [47], [48] can be used. In practice, remote areas (i.e., Areas 5 and 4 for D1 and D2, respectively) are modeled based on controlled current sources, while the interface for the rest of the system uses controlled voltage sources (Fig.…”

Section: B Model Configurationsmentioning

confidence: 99%

Development of Power System Models for Distributed Real-Time Simulations

et al. 2022

View full text Add to dashboard Cite

This paper proposes a general methodology for the development of power system models suitable for distributed real-time simulations (D-RTS) based on topology, simulator interfaces and data exchange. D-RTS have risen as functional alternatives that can combine remote and multi-vendor resources for large-scale power system simulations via a virtual connection. However, previous work focused on combination of separate models and not the performance of D-RTS when splitting a single monolithic model, failing to study the behaviors of D-RTS, including, synchronization and accuracy. The proposed methodology is used to develop distributed models of two widely used testbed large power systems, the IEEE Australian Benchmark model and the IEEE 300-Bus system. These testbeds are selected as they can be simulated as both monolithic and distributed models in available simulators in order to validate both the methodology and resulting model performance. The obtained results and comparison between monolithic and distributed models support the proposed approach and demonstrate the performance of D-RTS under both steady-state and transient operations in multiple scenarios.INDEX TERMS Co-simulation, distributed real-time simulation (D-RTS), geographically distributed realtime simulation (GD-RTS), real-time simulation (RTS)

show abstract

Section: B Model Configurationsmentioning

confidence: 99%