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Title: An Approach to Uncertainty Identification in the Valuation of Transactive Energy Systems

Abstract

Valuation of transactive energy (TE) systems should be supported by a structured and systematic approach to uncertainty identification, assessment, and treatment in the interest of risk-informed decision making. The proposed approach, a variation of fault tree analysis, is anticipated to support valuation analysts in analyzing conventional and transactive system scenarios. This approach allows for expanding the entire tree up to the level of minute details or collapsing them to a level sufficient enough to get an overview of the problem. Quantification scheme for the described approach lends itself for valuation. The method complements value exchange analysis, simulation, and field demonstration studies. The practicality of the proposed approach is demonstrated through uncertainty assessment of the smart grid interoperability panel peak heat day scenario.

Authors:
 [1];  [1];  [1]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE Office of Electricity (OE); USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1557856
Report Number(s):
PNNL-SA-128928
Journal ID: ISSN 2332-9017
Grant/Contract Number:  
AC05-76RL01830; AC05-76RL01830.
Resource Type:
Accepted Manuscript
Journal Name:
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems. Part B. Mechanical Engineering
Additional Journal Information:
Journal Volume: 4; Journal Issue: 4; Journal ID: ISSN 2332-9017
Publisher:
American Society of Mechanical Engineers
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION

Citation Formats

Veeramany, Arun, Woodward, James T., and Hammerstrom, Donald J. An Approach to Uncertainty Identification in the Valuation of Transactive Energy Systems. United States: N. p., 2018. Web. doi:10.1115/1.4039465.
Veeramany, Arun, Woodward, James T., & Hammerstrom, Donald J. An Approach to Uncertainty Identification in the Valuation of Transactive Energy Systems. United States. https://doi.org/10.1115/1.4039465
Veeramany, Arun, Woodward, James T., and Hammerstrom, Donald J. Mon . "An Approach to Uncertainty Identification in the Valuation of Transactive Energy Systems". United States. https://doi.org/10.1115/1.4039465. https://www.osti.gov/servlets/purl/1557856.
@article{osti_1557856,
title = {An Approach to Uncertainty Identification in the Valuation of Transactive Energy Systems},
author = {Veeramany, Arun and Woodward, James T. and Hammerstrom, Donald J.},
abstractNote = {Valuation of transactive energy (TE) systems should be supported by a structured and systematic approach to uncertainty identification, assessment, and treatment in the interest of risk-informed decision making. The proposed approach, a variation of fault tree analysis, is anticipated to support valuation analysts in analyzing conventional and transactive system scenarios. This approach allows for expanding the entire tree up to the level of minute details or collapsing them to a level sufficient enough to get an overview of the problem. Quantification scheme for the described approach lends itself for valuation. The method complements value exchange analysis, simulation, and field demonstration studies. The practicality of the proposed approach is demonstrated through uncertainty assessment of the smart grid interoperability panel peak heat day scenario.},
doi = {10.1115/1.4039465},
journal = {ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems. Part B. Mechanical Engineering},
number = 4,
volume = 4,
place = {United States},
year = {Mon Apr 30 00:00:00 EDT 2018},
month = {Mon Apr 30 00:00:00 EDT 2018}
}

Works referenced in this record:

Transactive control: a framework for operating power systems characterized by high penetration of distributed energy resources
journal, August 2016

  • Hu, Junjie; Yang, Guangya; Kok, Koen
  • Journal of Modern Power Systems and Clean Energy, Vol. 5, Issue 3
  • DOI: 10.1007/s40565-016-0228-1

Quantification of epistemic and aleatory uncertainties in level-1 probabilistic safety assessment studies
journal, July 2007

  • Durga Rao, K.; Kushwaha, H. S.; Verma, A. K.
  • Reliability Engineering & System Safety, Vol. 92, Issue 7
  • DOI: 10.1016/j.ress.2006.07.002

Applying adaptive safety analysis techniques [for embedded software]
conference, January 1999

  • Lutz, R. R.
  • Proceedings 10th International Symposium on Software Reliability Engineering (Cat. No.PR00443)
  • DOI: 10.1109/ISSRE.1999.809309

Evaluating Transactive Systems: Historical and Current U.S. DOE Research and Development Activities
journal, December 2016

  • Hammerstrom, Donald J.; Widergren, Steven E.; Irwin, Christopher
  • IEEE Electrification Magazine, Vol. 4, Issue 4
  • DOI: 10.1109/MELE.2016.2614182

From demand response to transactive energy: state of the art
journal, December 2016

  • Chen, Sijie; Liu, Chen-Ching
  • Journal of Modern Power Systems and Clean Energy, Vol. 5, Issue 1
  • DOI: 10.1007/s40565-016-0256-x