Adaptive Multi-Parameter Model-Free Delay Compensation in Damping Impedance Interfaced Distributed Power System Co-Simulation

Virtual integration of geographically dispersed laboratories through real-time co-simulation presents powerful capabilities for co-simulating massive complex systems but it is hindered by communication delays that compromise accuracy and stability. This challenge is particularly concerning for real-...

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Vydáno v:IEEE transactions on power systems Ročník 40; číslo 6; s. 4932 - 4944
Hlavní autoři: Buraimoh, Elutunji, Ozkan, Gokhan, Timilsina, Laxman, Muriithi, Grace, Moghassemi, Ali, Arsalan, Ali, Rahman, SM Imrat, Papari, Behnaz, Ozden, Mustafa, Edrington, Christopher
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.11.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Accuracy
Adaptive algorithms
Co-simulation
Compensation
Complex systems
Computational efficiency
Damping
damping impedance method
delay
delay prediction
Delays
Heuristic algorithms
Impedance
Impedance method
interface algorithms
Interface management
interface signals
Laboratories
Parameters
Power system dynamics
Power system stability
Real time
Real-time systems
Root mean square
Simulation
Stability
Stability criteria
Subsystems
Synchronism
Tracking errors
Transient analysis
United States > US
ISSN:0885-8950, 1558-0679
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Popis
Shrnutí:Virtual integration of geographically dispersed laboratories through real-time co-simulation presents powerful capabilities for co-simulating massive complex systems but it is hindered by communication delays that compromise accuracy and stability. This challenge is particularly concerning for real-time power system co-simulation, where delays can induce synchronization loss and limit dynamic and transient studies. This study proposes an adaptive, multi-parameter model-free framework for predicting and compensating delays in co-simulated systems, addressing this critical issue. This framework leverages the improved damping impedance method interface algorithm and an adaptive, parameter-tuning predictor system that predicts and compensates for delays without requiring complex interface signal transformation, processing, decomposition, reconstruction, phase estimation, system models, and no human interference. The proposed approach is validated using a joint experiment between two laboratories at Clemson, SC, USA and Greenville, SC, USA, with the Damping Impedance Method as an Interface Algorithm between the two partitioned subsystems. The coupling errors, state tracking errors, and residual complex power are used as evaluation metrics for the proposed delay compensation. This approach enhances co-simulation accuracy and stability, facilitating reliable dynamic and transient analyses.
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ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2025.3575793