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

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

doi:10.24251/hicss.2017.386

Cited by 53 publications

(21 citation statements)

References 14 publications

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“…Creating synthetic cost curves was described in [17], and the local cost of coal and gas can be adjusted to tweak the system inter-area power flows as design goals require. Making these assumptions for the initial dispatch will aid in making the cases more applicable to optimal power flow (OPF) analysis.…”

Section: Initial Dispatch and Power Flow Considerationsmentioning

confidence: 99%

“…In [16], a large test case is developed, however, it is only dc-solvable and approximates the actual grid network, rather than being fully synthetic. Since the publication of [1]- [2], additions to the base synthesis algorithm include generator cost curves for economic and optimal power flow (OPF) analysis [17], initial transient stability models for dynamic simulations [18], more detailed transmission line parameters [19]- [20], and a more robust set of validation criteria, including two additional cases with size 200 and 500 buses [21]. In [22]- [24], further developments in alternative methods for network topology generation are given, not including solvable circuits.…”

Section: Introductionmentioning

confidence: 99%

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Building Synthetic Power Transmission Networks of Many Voltage Levels, Spanning Multiple Areas

Birchfield

Shetye

et al. 2018

Proceedings of the Annual Hawaii International Conference on System Sciences

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Synthetic power grids, that is, test cases designed to match realistic structural and statistical characteristics of actual grids, are useful for research, development, and demonstration of innovations, since the cases are fictitious and thus free from data confidentiality issues. Building on previous work, this paper addresses a couple of related problems in the transmission network synthesis process. These issues appear as created cases become larger and involve multiple areas and overlapping nominal voltage levels. A fast, scalable hierarchical clustering is designed to assign voltage levels to substations considering the needs of the system, the specific constraints of the area, and smooth interconnections between neighboring areas with different voltage levels. A line topology generation framework is considered that is appropriate for many networks of different voltage levels, constructed together for a useful, realistic grid. These methods are demonstrated in a new 2000 bus test case, validated and publicly released.

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Section: Initial Dispatch and Power Flow Considerationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Building Synthetic Power Transmission Networks of Many Voltage Levels, Spanning Multiple Areas

Birchfield

Shetye

et al. 2018

Proceedings of the Annual Hawaii International Conference on System Sciences

Self Cite

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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%

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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“…To overcome the difficulties due to the lack of information, several methodologies have been proposed to create large-scale synthetic network test cases for matching realistic structural and statistical characteristics based on the clustering techniques [3], [4]. Furthermore, economic studies based on a large-scale synthetic network were carried out to determine the generator cost models [5]. In addition to modeling power plants' heat rates, fuel types, and cost models, the fuel costs analytics and predictions for validating the large market were pursued as well [6].…”

Section: Introductionmentioning

confidence: 99%

Data-driven Analysis of Regional Capacity Factors in a Large-Scale Power Market: A Perspective from Market Participants

Zhao

Wang

Liao

et al. 2019

2019 North American Power Symposium (NAPS)

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A competitive wholesale electricity market consists of thousands of interacting market participants. Driven by the variations of fuels costs, system loads and weathers, these market participants compete actively and behave variously in the power market. Although electricity markets tend to become more transparent, a large amount of market information is still not publicly available to market participants. Hence, data-driven analysis based on public data is crucial for market participants to better understand and model large-scale power markets, and ultimately to perform better in power trading. While most of the previous researches related to the large-scale power markets are based on the synthetic networks, a data-driven approach utilizing the real power market data is proposed in this paper. First, the power plants' monthly net generation and capacity data are obtained from U.S. Energy Information Administration (EIA) and aggregated to figure out the monthly regional capacity factors which are used to characterize the market's regional behaviors for market participants. Then, the regional capacity factors are analyzed against the metered system loads and natural gas prices to study the generation behaviors in the power market. The analysis reveals the impacts of regional natural gas prices on capacity factors and the responses of generating behaviors to the system loads. The analysis results present the solid evidence and rational references for market participants to model and validate the large-scale power market in the future.

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

Cited by 53 publications

References 14 publications

Building Synthetic Power Transmission Networks of Many Voltage Levels, Spanning Multiple Areas

Building Synthetic Power Transmission Networks of Many Voltage Levels, Spanning Multiple Areas

Location-Dependent Impacts of Resource Inertia on Power System Oscillations

Data-driven Analysis of Regional Capacity Factors in a Large-Scale Power Market: A Perspective from Market Participants

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