Active Splitting in Longitudinal Power Systems based on a WAMPC

Arraño-Vargas, Felipe; Rahmann, Claudia; Valencia, Felipe; Vargas, Luis

doi:10.3390/en11010051

Cited by 6 publications

(5 citation statements)

References 39 publications

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“…As analyzed above, LPS present suitable use cases for D-RTS. These models present a radial configuration (with multiple infeeds), with generation areas electrically distant from load centers, connected through long transmission lines [35].…”

Section: Implementation Of Distributed Real-time Simulationmentioning

confidence: 99%

Development of Power System Models for Distributed Real-Time Simulations

et al. 2022

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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)

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Section: Implementation Of Distributed Real-time Simulationmentioning

confidence: 99%

Development of Power System Models for Distributed Real-Time Simulations

et al. 2022

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“…Moreover, weak longitudinal power systems (LPSs) such as the ones in Australia, Chile and New Zealand are not typically addressed in benchmark models. LPSs are more susceptible to voltage collapse and transient stability problems than robust (meshed) networks [22]. Furthermore, the inherent variability and uncertainty of resources of non-synchronous generation (such as wind and solar) can affect even more these systems due to its reduced number of interconnections, as manifested by the blackout of South Australia in September 2016 [23].…”

Section: Introductionmentioning

confidence: 99%

Development of Real-Time Benchmark Models for Integration Studies of Advanced Energy Conversion Systems

Arraño-Vargas

Konstantinou

2020

IEEE Trans. Energy Convers.

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Benchmark models provide a common platform that facilitates comparison of different methods and strategies that can be further validated in a real representation of the power system. Nevertheless, when using RMS test cases, transients present in modern power systems may be neglected. Modern energy conversion systems require an enhanced level of detail in order to properly represent their behavior. Moreover, due to the steady increase of non-synchronous generation, new operation and management strategies need to be tested to ensure power system security. One way to overcome these constraints is to use EMT real-time digital simulations which allows to obtain high precision results in a timeframe suited to a specific study. This work presents an EMT real-time model for integration studies of advanced energy conversion systems that can be flexibly expanded to higher renewable penetration. The model, based on the Simplified Australian 14-Generator test system, has been expanded to represent in an improved way the dynamics of power system components as well as the high penetration of nonsynchronous power electronics generation. Transient simulations are undertaken to illustrate system's response due to nonsynchronous generation and when faults are applied. This work also addresses the current gap in benchmark models for real-time simulations.

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“…Finding adequate answers to challenges today requires the work of multidisciplinary teams, application of various mathematical techniques and development of new ones, and data transmission, analysis, processing and security present a particular problem and challenge. Advanced systems for monitoring, protection and management of power systems are expected to be able (among other things) to efficiently identify system disturbances, determine the location of the disturbance, identify low-frequency electromechanical oscillations and their character, assess the active power imbalance in the system, be able to take automated actions to prevent cascading propagation of disturbances and / or minimise the impact of disturbances on the system, prevent unnecessary protection actions, minimise the possibility of human error, etc [3].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Different Methods for Identification of Dominant Oscillation Mode

Dedović

Avdaković

Mujezinović

et al. 2020

B&H Electrical Engineering

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This paper introduces and compares the various techniques for identification and analysis of low frequency oscillations in a power system. Inter-area electromechanical oscillations are the focus of this paper. After multiresolution decomposition of characteristic signals, physical characteristics of system oscillations in signal components are identified and presented using the Fourier transform, Prony’s method, Matrix Pencil Analysis Method, S-transform, Global Wavelet Spectrum and Hilbert Huang transform (Hilbert Marginal Spectrum) in time-frequency domain representation. The analyses were performed on real frequency signals obtained from FNET/GridEye system during the earthquake that triggered the shutdown of the North Anna Nuclear Generating Station in the east coast of the United States. In addition, according to the obtained results the proposed methods have proven to be reliable for identification of the model parameters of low-frequency oscillation in power systems. The relevant analyses are carried out in MATLAB coding environment.

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Active Splitting in Longitudinal Power Systems based on a WAMPC

Cited by 6 publications

References 39 publications

Development of Power System Models for Distributed Real-Time Simulations

Development of Power System Models for Distributed Real-Time Simulations

Development of Real-Time Benchmark Models for Integration Studies of Advanced Energy Conversion Systems

Comparison of Different Methods for Identification of Dominant Oscillation Mode

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