A Metric-Based Validation Process to Assess the Realism of Synthetic Power Grids

doi:10.3390/en10081233

Title: A Metric-Based Validation Process to Assess the Realism of Synthetic Power Grids

Article Details
Other Related Research

Public power system test cases that are of high quality benefit the power systems research community with expanded resources for testing, demonstrating, and cross-validating new innovations. Building synthetic grid models for this purpose is a relatively new problem, for which a challenge is to show that created cases are sufficiently realistic. This paper puts forth a validation process based on a set of metrics observed from actual power system cases. These metrics follow the structure, proportions, and parameters of key power system elements, which can be used in assessing and validating the quality of synthetic power grids. Though wide diversity exists in the characteristics of power systems, the paper focuses on an initial set of common quantitative metrics to capture the distribution of typical values from real power systems. The process is applied to two new public test cases, which are shown to meet the criteria specified in the metrics of this paper.

Authors:

; ; ; Xu, Ti ^[4] ; Overbye, Thomas ^[4] ; Scaglione, Anna ^[2] ; Wang, Zhifang ^[3]

Texas A & M Univ., College Station, TX (United States). Department of Electrical and Computer Engineering
Arizona State Univ., Tempe, AZ (United States). School of Electrical, Computer and Energy Engineering
Virginia Commonwealth Univ., Richmond, VA (United States). Department of Electrical and Computer Engineering
Texas A & M Univ., College Station, TX (United States). Department of Electrical and Computer Engineering

Publication Date:: 2017-08-19

Grant/Contract Number:: AR0000714

Type:: Accepted Manuscript

Journal Name:: Energies (Basel)

Additional Journal Information:: Journal Name: Energies (Basel); Journal Volume: 10; Journal Issue: 12; Journal ID: ISSN 1996-1073

Publisher:: MDPI AG

Research Org:: Univ. of Illinois, Chicago, IL (United States)

Sponsoring Org:: USDOE Advanced Research Projects Agency - Energy (ARPA-E)

Country of Publication:: United States

Language:: English

Subject:: 42 ENGINEERING; 24 POWER TRANSMISSION AND DISTRIBUTION; synthetic networks; power system analysis; synthetic power grids; validation metrics; power system graph topology; Delaunay triangulation

OSTI Identifier:: 1424922


                    Birchfield, Adam, Schweitzer, Eran, Athari, Mir, Xu, Ti, Overbye, Thomas, Scaglione, Anna, and Wang, Zhifang. A Metric-Based Validation Process to Assess the Realism of Synthetic Power Grids.  United States: N. p.,  
        Web.  doi:10.3390/en10081233.

Copy to clipboard


                    Birchfield, Adam, Schweitzer, Eran, Athari, Mir, Xu, Ti, Overbye, Thomas, Scaglione, Anna, & Wang, Zhifang. A Metric-Based Validation Process to Assess the Realism of Synthetic Power Grids.  United States.  doi:10.3390/en10081233.

Copy to clipboard


                    Birchfield, Adam, Schweitzer, Eran, Athari, Mir, Xu, Ti, Overbye, Thomas, Scaglione, Anna, and Wang, Zhifang. 2017.  
        "A Metric-Based Validation Process to Assess the Realism of Synthetic Power Grids".  United States.  
        doi:10.3390/en10081233.  https://www.osti.gov/servlets/purl/1424922.

Copy to clipboard


                    
@article{osti_1424922,

  title        = {A Metric-Based Validation Process to Assess the Realism of Synthetic Power Grids},

  author       = {Birchfield, Adam and Schweitzer, Eran and Athari, Mir and Xu, Ti and Overbye, Thomas and Scaglione, Anna and Wang, Zhifang},

  abstractNote = {Public power system test cases that are of high quality benefit the power systems research community with expanded resources for testing, demonstrating, and cross-validating new innovations. Building synthetic grid models for this purpose is a relatively new problem, for which a challenge is to show that created cases are sufficiently realistic. This paper puts forth a validation process based on a set of metrics observed from actual power system cases. These metrics follow the structure, proportions, and parameters of key power system elements, which can be used in assessing and validating the quality of synthetic power grids. Though wide diversity exists in the characteristics of power systems, the paper focuses on an initial set of common quantitative metrics to capture the distribution of typical values from real power systems. The process is applied to two new public test cases, which are shown to meet the criteria specified in the metrics of this paper.},

  doi          = {10.3390/en10081233},

  journal      = {Energies (Basel)},

  number       = 12,

  volume       = 10,

  place        = {United States},

  year         = {2017},

  month        = {8}

}

Copy to clipboard

Free Publicly Accessible Full Text
Accepted Manuscript (DOE)
Publisher's Version of Record
10.3390/en10081233
https://doi.org/10.3390/en10081233

Citation Metrics
Cited by: 1work
Citation information provided by
Web of Science

Save / Share this Record
Export Metadata
- Endnote
- RIS
- Excel
- CSV
- XML
Save to My Library
Send to Email

Send to Email

Email address:

Content:

Similar Records

Similar records in DOE PAGES and OSTI.GOV collections:

Validation of sea ice models using an uncertainty-based distance metric for multiple model variables: NEW METRIC FOR SEA ICE MODEL VALIDATION

Journal Article Urrego-Blanco, Jorge R. ; Hunke, Elizabeth C. ; Urban, Nathan M. ; ... April 2017 - Journal of Geophysical Research. Oceans

Here, we implement a variance-based distance metric (D _n) to objectively assess skill of sea ice models when multiple output variables or uncertainties in both model predictions and observations need to be considered. The metric compares observations and model data pairs on common spatial and temporal grids improving upon highly aggregated metrics (e.g., total sea ice extent or volume) by capturing the spatial character of model skill. The D _n metric is a gamma-distributed statistic that is more general than the χ ² statistic commonly used to assess model fit, which requires the assumption that the model is unbiased andmore »« less
Full Text Available
The evolution of process-based hydrologic models: historical challenges and the collective quest for physical realism

Journal Article Clark, Martyn P. ; Bierkens, Marc F. P. ; Samaniego, Luis ; ... July 2017 - Hydrology and Earth System Sciences (Online)

The diversity in hydrologic models has historically led to great controversy on the correct approach to process-based hydrologic modeling, with debates centered on the adequacy of process parameterizations, data limitations and uncertainty, and computational constraints on model analysis. Here, we revisit key modeling challenges on requirements to (1) define suitable model equations, (2) define adequate model parameters, and (3) cope with limitations in computing power. We outline the historical modeling challenges, provide examples of modeling advances that address these challenges, and define outstanding research needs. We also illustrate how modeling advances have been made by groups using models of different type and complexity,more »« less
Cited by 13Full Text Available
The evolution of process-based hydrologic models: historical challenges and the collective quest for physical realism

Journal Article Clark, Martyn P. ; Bierkens, Marc F. P. ; Samaniego, Luis ; ... January 2017 - Hydrology and Earth System Sciences (Online)

The diversity in hydrologic models has historically led to great controversy on the correct approach to process-based hydrologic modeling, with debates centered on the adequacy of process parameterizations, data limitations and uncertainty, and computational constraints on model analysis. In this paper, we revisit key modeling challenges on requirements to (1) define suitable model equations, (2) define adequate model parameters, and (3) cope with limitations in computing power. We outline the historical modeling challenges, provide examples of modeling advances that address these challenges, and define outstanding research needs. We illustrate how modeling advances have been made by groups using models of different type andmore »« less
Cited by 13Full Text Available
Integrating a process-based ecosystem model with Landsat imagery to assess impacts of forest disturbance on terrestrial carbon dynamics: Case studies in Alabama and Mississippi

Journal Article Chen, Guangsheng ; Tian, Hanqin ; Huang, Chengquan ; ... July 2013 - Journal of Geophysical Research. Biogeosciences

Forest ecosystems in the southern United States are dramatically altered by three major disturbances: timber harvesting, hurricane, and permanent land conversion. Understanding and quantifying effects of disturbance on forest carbon, nitrogen, and water cycles is critical for sustainable forest management in this region. In this study, we introduced a process-based ecosystem model for simulating forest disturbance impacts on ecosystem carbon, nitrogen, and water cycles. Based on forest mortality data classified from Landsat TM/ETM + images, this model was then applied to estimate changes in carbon storage using Mississippi and Alabama as a case study. Mean annual forest mortality rate formore »« less
Cited by 10Full Text Available
Quantifying Power Distribution System Resiliency Using Code-Based Metric

Journal Article Chanda, Sayonsom ; Srivastava, Anurag K. ; Mohanpurkar, Manish U. ; ... July 2018 - IEEE Transactions on Industry Applications

It is essential to improve the resiliency of power distribution systems (PDS) with the increase in extreme weather events, number of malicious threats and consumers’ need for higher reliability. Here, this paper provides a formal approach to evaluate the operational resiliency of PDS, and quantify the resiliency of a system using a code-based metric. A combination of steady state and dynamic simulation tools is used to determine the resiliency metric. Dynamic simulation tools help with analyzing impact of short-term events, which might affect operational resiliency in long term. A dynamic optimization algorithm for changing operating criteria to increase the sustainabilitymore »« less

Access journal articles and accepted manuscripts resulting from DOE research funding

Title: A Metric-Based Validation Process to Assess the Realism of Synthetic Power Grids

Access journal articles and accepted manuscripts
resulting from DOE research funding