Statistical Considerations in the Creation of Realistic Synthetic Power Grids for Geomagnetic Disturbance Studies

Birchfield, Adam B.; Gegner, Kathleen M.; Xu, Tong; Shetye, Komal S.; Overbye, Thomas J.

doi:10.1109/tpwrs.2016.2586460

Cited by 81 publications

(51 citation statements)

References 15 publications

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“…Suppose that V e,τ and V e,τ +1 are wind speeds from Section III.A -two end points of a 5-minute time period. The wind speed vector [v e,1 , ..., v e,s , ..., v e,S ] T for each synthetic wind farm e over a 5-minute period can be computed by: v e,s = ( V e,τ +1 − V e,τ S − 1 ·(s−1)+V e,τ )+v e,s , ∀s ∈ (1, S ) (6) where v e, 1 and v e,S are set to be equal to V e,τ and V e,τ +1 , respectively. Overall, equation (6) [v e,1 , ..., v e,s , ..., v e,S ] T in a finer time interval for a 5-minute period.…”

Section: B Wind Speed Time Series With Finer Time Resolutionmentioning

confidence: 99%

Synthesize Phasor Measurement Unit Data Using Large-Scale Electric Network Models

Birchfield

et al. 2019

2019 North American Power Symposium (NAPS)

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Big data analytic applications using phasor measurements help improve the situation awareness of grid operators to better operate and control the system. Phasor measurement unit (PMU) data from actual grids is viewed as highly confidential and is not publicly available to researchers and educators. This paper develops a methodology to synthesize PMU data that can be accessed and shared freely, with a focus on input data preparation. Time series of demand-and generation-side input data are generated using public data from different utilities and statistical analysis methods. Detailed load dynamics modeling is also performed in this paper to extend the synthetic electric network models.

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Section: B Wind Speed Time Series With Finer Time Resolutionmentioning

confidence: 99%

Synthesize Phasor Measurement Unit Data Using Large-Scale Electric Network Models

Birchfield

et al. 2019

2019 North American Power Symposium (NAPS)

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“…To provide insightful and realistic results, we perform more simulations using synthetic network models that are built by applying statistics summarized from Page 2712 actual system models and data available to public [11]- [13]. Those synthetic models available at [14] are entirely fictitious, but are able to capture structural and functional features of actual power grids.…”

Section: Illustrative Studies Using Synthetic Network Modelsmentioning

confidence: 99%

“…This paper first uses a straight-forward smallscale test system for illustration. To obtain realistic simulation results, this paper also performs studies on a large-scale synthetic network model [11]- [14]. A set of scenarios with various inertia at different sites are constructed to show, for a power system, what aspects the inertia and its location have effects on.…”

Section: Introductionmentioning

confidence: 99%

Location-Dependent Impacts of Resource Inertia on Power System Oscillations

Jang

Overbye

2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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Inertial responses are seen by the system as the injection or withdrawal of electrical energy, corresponding to a change of frequency. The inertia of a machine primarily contributes to the power system transient stability. Oscillations are always present in the bulk power system due to the electromechanical nature of the grid. Poorly damped oscillations may cause system instability. Thus, this paper aims to study inertia's impacts on system primary frequency response, in particular on system oscillation modes. Both transient stability simulations and modal analysis are performed to provide insights into the extent to which inertia and its location influence the system oscillation behavior. Simulation results using both a small-scale test system and a large-scale synthetic network dynamic model are presented to verify the locational impacts of resource inertia.

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“…Works [7], [8], [9] provide readers more details on geographic substation placement, synthetic transmission line topology design and line parameter determination. As summarized in Fig.1, the network construction process is based on the statistics summarized from EI case, geographic relations, location-dependent load levels and generation capacities.…”

Section: Reviews Of the Creation Of Synthetic Transmission Networkmentioning

confidence: 99%

“…Until recently, there was limited work focusing on the creation of synthetic large-scale power system models using publicly available data to mimic the full complexity of today's electricity grids for energy economic studies. Our previous works [7], [8], [9] presented a methodology to create entirely fictitious synthetic power system networks that capture structural and functional characteristics of actual power grids 1 . To enable greater innovation on electricity markets, this paper aims to augment the synthetic power system networks with generator cost data, and thus provides realistic test cases for energy economic studies without revealing any sensitive information.…”

Section: Introductionmentioning

confidence: 99%

Application of Large-Scale Synthetic Power System Models for Energy Economic Studies

Xu¹,

Birchfield²,

Gegner³

et al. 2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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Due to information confidentiality issues, there is limited access to actual power system models that represent features of actual power grids for teaching, training, and research purposes. The authors' previous work describes the process of creating synthetic transmission networks, with statistics similar to those of actual power grids. Thus, this paper outlines a systematic methodology to augment the synthetic network base case for energy economic studies. The key step is to determine generator cost models by fuel type and capacity. Based on statistics summarized from the actual grids, two approaches are proposed to assign coefficients to generator cost models. To illustrate the proposed creation procedure, we describe the construction of a synthetic model for Electric Reliability Council of Texas footprint. Simulation results are presented to verify that the created test system is able to represent the behavior of actual power systems.

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Statistical Considerations in the Creation of Realistic Synthetic Power Grids for Geomagnetic Disturbance Studies

Cited by 81 publications

References 15 publications

Synthesize Phasor Measurement Unit Data Using Large-Scale Electric Network Models

Synthesize Phasor Measurement Unit Data Using Large-Scale Electric Network Models

Location-Dependent Impacts of Resource Inertia on Power System Oscillations

Application of Large-Scale Synthetic Power System Models for Energy Economic Studies

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