Stability Considerations for a Synchronous Interconnection of the North American Eastern and Western Electric Grids

Overbye, Thomas J.; Shetye, Komal S.; Wert, Jessica L.; Li, Hanyue; Cathey, Casey; Scribner, Harvey

doi:10.24251/hicss.2022.441

Cited by 10 publications

(7 citation statements)

References 17 publications

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“…In extreme cases, the system frequency might oscillate (e.g.,20-second delay case). The heterogeneous cases show a smooth effect in the AGC[51]. In addition, the deviations of the communication variations among different channels are less significant compared with the mean values.…”

mentioning

confidence: 87%

“…As shown in Figure 8, SFR is enabled by an AGC model that includes two components: an arealevel model that calculates the ACE from (5) in Figure 8 and a plant-level control model that receives the ACE signal and sets the reference power, 𝑃𝑃 𝑟𝑟𝑒𝑒𝑚𝑚 , for each plant. For simplicity, assume there is one area in the simulation and no interchange with other areas, according to the North American Electric Reliability Corporation [50], [51], ACE is defined as, with the interchange metering error ignored, i.e. :…”

Section: Sfr Through Agcmentioning

confidence: 99%

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Cyber-Physical Dynamic System (CPDS) Modeling for Frequency Regulation and AGC Services of Distributed Energy Resources

Wang

Fang

Cui

et al. 2022

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The need for co-simulation, different from the traditional analytical method (i.e., statespace equations), co-simulation method can observe different aspects of the impacts, e.g., heterogeneous communication impacts and local grid constraints, such as voltage and reverse power flow. The quantitative analysis and modeling scheme in this report can provide insights into designing future load frequency control (LFC) algorithms and communication planning for LFC with DERs such as distributed photovoltaics (DPVs) and plug-in electric vehicles (PEVs).

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mentioning

confidence: 87%

Section: Sfr Through Agcmentioning

confidence: 99%

Cyber-Physical Dynamic System (CPDS) Modeling for Frequency Regulation and AGC Services of Distributed Energy Resources

Wang

Fang

Cui

et al. 2022

Self Cite

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“…As an example Figure 2 shows a contour of the temperatures during Winter Storm Uri in 2021 using data from more than 2500 stations. When using this data with the 110,000 bus and 43,000 electric substations of the actual North American power grid used in [22], the average distance between an electric substation and the closest weather station is 19.8 km. However, there certainly can be situations in which standard interpolation does not work well, such as mountains, valleys and some coastal regions.…”

Section: Considerations For Weather Inclusion In the Power Flowmentioning

confidence: 99%

Introduction to the Minitrack on Mediated Conversation

Masullo,

Kalman,

Lewis

2024

Proceedings of the Annual Hawaii International Conference on System Sciences

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While it is widely recognized that weather impacts the power flow, historically weather information has only been implicitly included. This paper presents an approach for the direct inclusion of weather information in the power flow. Key issues addressed by the paper include the availability of weather information, the mapping of weather information to electric grid components, a flexible and extensible modeling approach for relating weather values to the power flow models, and the visualization of the weather impacts. The approach is demonstrated on several electric grids ranging in size from 7000 to 82,000 buses using weather data over several different years.

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“…E-mail: nyu@ece.ucr.edu. The power system engineering research center (PSERC) has begun to create synthetic dynamical data by simulating more realistic North American Eastern and Western Interconnection models [3]. Many non-data driven modelling approaches to create synthetic data can be found in literature.…”

Section: Introductionmentioning

confidence: 99%

pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events -- Part I: Overview and Results

Foggo¹,

Yamashita²,

Yu³

2022

Preprint

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We present pmuGE (phasor measurement unit Generator of Events), one of the first data-driven generative model for power system event data. We have trained this model on thousands of actual events and created a dataset denoted pmuBAGE (the Benchmarking Assortment of Generated PMU Events). The dataset consists of almost 1000 instances of labeled event data to encourage benchmark evaluations on phasor measurement unit (PMU) data analytics. The dataset is available online for use by any researcher or practitioner in the field. PMU data are challenging to obtain, especially those covering event periods. Nevertheless, power system problems have recently seen phenomenal advancements via data-driven machine learning solutions -solutions created by researchers who were fortunate enough to obtain such PMU data. A highly accessible standard benchmarking dataset would enable a drastic acceleration of the development of successful machine learning techniques in this field. We propose a novel learning method based on the Event Participation Decomposition of Power System Events, which makes it possible to learn a generative model of PMU data during system anomalies. The model can create highly realistic event data without compromising the differential privacy of the PMUs used to train it. The dataset is available online for any researcher to use at the pmuBAGE Github Repository.Part I -This is part I of a two part paper. In part I, we describe a high level overview of pmuBAGE, its creation, and the experiments used to test it. Part II will discuss the exact models used in its generation in far more detail.

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Stability Considerations for a Synchronous Interconnection of the North American Eastern and Western Electric Grids

Cited by 10 publications

References 17 publications

Cyber-Physical Dynamic System (CPDS) Modeling for Frequency Regulation and AGC Services of Distributed Energy Resources

Cyber-Physical Dynamic System (CPDS) Modeling for Frequency Regulation and AGC Services of Distributed Energy Resources

Introduction to the Minitrack on Mediated Conversation

pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events -- Part I: Overview and Results

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