Technical Papers
Nov 27, 2020

Local System Modeling Method for Resilience Assessment of Overhead Power Distribution System under Strong Winds

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 7, Issue 1

Abstract

During extreme weather events, such as hurricanes or major winter snowstorms, power distribution systems, such as the overhead power distribution systems consisting of wood poles and power wires, would encounter failures that can bring massive power outages. Daily lives for communities are significantly affected by the interruptions of the regular service of power distributions. Fragility assessments of pole-wire systems under high wind loads have been carried out before, either using physics-based structural analysis methods or data-driven methods. However, fragility analyses of the entire pole-wire system are still challenging due to the lack of detailed information for dimensions, materials, soil conditions of pole-wire systems, the inconsistent wind loads applied on the systems at different geographic locations, and high computational costs. In the present study, a new local system modeling method considering the effects of neighboring spans for the resilience assessment of overhead power distribution systems under strong winds is proposed. The effects of neighboring spans are investigated to predict the failure probability of pole-wire systems with lower computational costs. Soil springs are applied to model the boundary support of poles to provide a more reliable estimation of the structural behaviors under large wind loads. Various simple pole-wire systems with different numbers of poles are studied to investigate the effects of neighboring spans. The number of neighboring spans that might affect the structural behaviors of the studied poles is investigated. The effects of lateral lines on the structural behaviors of the studied poles are also investigated. Based on the results, a case study is conducted to validate the accuracy of the proposed method. The reliability of a hypothetical pole-wire system calculated by the structural analysis method and the proposed method is compared. The accuracy of the proposed method is validated. Additionally, the effects of the degradation of neighboring spans on the structural behaviors of the studied poles are studied. For a local region with complex geographic terrain, wind loads applied on a pole-wire system could vary at different locations. Fragility curves of poles calculated with the proposed method under different wind directions are obtained to include the wind direction effects. The proposed method could help consider interactions between individual pole nodes with acceptable computational costs.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

References

ANSI (American National Standards Institute). 2002. Wood poles specifications and dimensions. ANSI-O5.1. Washington, DC: ANSI.
Bjarnadottir, S., Y. Li, and M. G. Stewart. 2013. “Hurricane risk assessment of power distribution poles considering impacts of a changing climate.” J. Infrastruct. Syst. 19 (1): 12–24. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000108.
Blake, E. S., T. B. Kimberlain, R. J. Berg, J. P. Cangialosi, and J. L. Beven Ii. 2013. Tropical cyclone report: Hurricane sandy. Miami: National Hurricane Center.
Dagher, H. J. 2006. Reliability-based design of utility pole structures: Reliability-based design of utility pole structures. Edited by H. Dagher. Reston, VA: ASCE.
Darestani, Y. M., A. Shafieezadeh, and R. DesRoches. 2016. “An equivalent boundary model for effects of adjacent spans on wind reliability of wood utility poles in overhead distribution lines.” Eng. Struct. 128 (Dec): 441–452. https://doi.org/10.1016/j.engstruct.2016.09.052.
Doyle, D. V., and L. J. Markwardt. 1966. Properties of southern pine in relation to strength grading of dimension lumber. Washington, DC: USDA, Forest Service, Forest Products Laboratory.
Eversource. 2018. Eversource power distribution system design manual. Berlin: Eversource Energy.
Han, S., S. D. Guikema, and S. M. Quiring. 2009a. “Improving the predictive accuracy of hurricane power outage forecasts using generalized additive models.” Risk Anal. 29 (10): 1443–1453. https://doi.org/10.1111/j.1539-6924.2009.01280.x.
Han, S., D. Rosowsky, and S. Guikema. 2014. “Integrating models and data to estimate the structural reliability of utility poles during hurricanes.” Risk Anal. 34 (6): 1079–1094. https://doi.org/10.1111/risa.12102.
Han, S. R., S. D. Guikema, S. M. Quiring, K. H. Lee, D. Rosowsky, and R. A. Davidson. 2009b. “Estimating the spatial distribution of power outages during hurricanes in the Gulf coast region.” Reliab. Eng. Syst. Saf. 94 (2): 199–210. https://doi.org/10.1016/j.ress.2008.02.018.
IEEE. 2017a. 2017 national electrical safety code. Piscataway, NJ: IEEE.
IEEE. 2017b. 2017 national electrical safety code handbook. Piscataway, NJ: IEEE.
Iman, R. L., J. C. Helton, and J. E. Campbell. 1981. “An approach to sensitivity analysis of computer models. Part I: Introduction, input variable selection and preliminary variable assessment.” J. Qual. Technol. 13 (3): 174–183. https://doi.org/10.1080/00224065.1981.11978748.
Johnson, B. W. 2005. After the disaster: Utility restoration cost recovery. Washington, DC: Edison Electric Institute.
Liu, H., R. A. Davidson, D. V. Rosowsky, and J. R. Stedinger. 2005. “Negative binomial regression of electric power outages in hurricanes.” J. Infrastruct. Syst. 11 (4): 258–267. https://doi.org/10.1061/(ASCE)1076-0342(2005)11:4(258).
Mankowski, M., E. Hansen, and J. Morrell. 2002. “Wood pole purchasing, inspection, and maintenance: A survey of utility practices.” For. Prod. J. 52 (1): 43–51.
Morrell, J. J. (1996). Wood pole maintenance manual. Corvallis, OR: Oregon State Univ.
NRC (National Research Council). 2012. Disaster resilience. Washington, DC: NRC.
Ouyang, M., and L. Duenas-Osorio. 2014. “Multi-dimensional hurricane resilience assessment of electric power systems.” Struct. Saf. 48 (May): 15–24. https://doi.org/10.1016/j.strusafe.2014.01.001.
Ryan, P. C., M. G. Stewart, N. Spencer, and Y. Li. 2014. “Reliability assessment of power pole infrastructure incorporating deterioration and network maintenance.” Reliab. Eng. Syst. Saf. 132 (Dec): 261–273. https://doi.org/10.1016/j.ress.2014.07.019.
Ryan, P. C., M. G. Stewart, N. Spencer, and Y. Li. 2016. “Probabilistic analysis of climate change impacts on timber power pole networks.” Int. J. Electr. Power Energy Syst. 78 (Jun): 513–523. https://doi.org/10.1016/j.ijepes.2015.11.061.
Salman, A. M., and Y. Li. 2016. “Age-dependent fragility and life-cycle cost analysis of wood and steel power distribution poles subjected to hurricanes.” Struct. Infrastruct. Eng. 12 (8): 890–903. https://doi.org/10.1080/15732479.2015.1053949.
Salman, A. M., and Y. Li. 2018. “A probabilistic framework for multi-hazard risk mitigation for electric power transmission systems subjected to seismic and hurricane hazards.” Struct. Infrastruct. Eng. 14 (11): 1499–1519. https://doi.org/10.1080/15732479.2018.1459741.
Salman, A. M., Y. Li, and E. Bastidas-Arteaga. 2017. “Maintenance optimization for power distribution systems subjected to hurricane hazard, timber decay and climate change.” Reliab. Eng. Syst. Saf. 168 (Dec): 136–149. https://doi.org/10.1016/j.ress.2017.03.002.
Salman, A. M., Y. Li, and M. G. Stewart. 2015. “Evaluating system reliability and targeted hardening strategies of power distribution systems subjected to hurricanes.” Reliab. Eng. Syst. Saf. 144 (Dec): 319–333. https://doi.org/10.1016/j.ress.2015.07.028.
Shafieezadeh, A., U. P. Onyewuchi, M. M. Begovic, and R. Desroches. 2014. “Age-dependent fragility models of utility wood poles in power distribution networks against extreme wind hazards.” IEEE Trans. Power Delivery 29 (1): 131–139. https://doi.org/10.1109/TPWRD.2013.2281265.
USACE. 1990. Engineering and design: Settlement analysis. Washington, DC: USACE.
Vesic, A. B. 1961. “Beams on elastic subgrade and the Winkler’s hypothesis.” In Proc., 5th Int. Conf. on Soil Mechanics and Foundation Engineering, 845–850. Paris: Dunod.
Wolfe, R., and R. Moody. 1997. “Standard specifications for wood poles.” In Proc., 1997 Utility Pole Structures Conf. and Trade Show, edited by J. J. Morrell. Madison, WI: Forest Products Laboratory.
Yeates, A., and K. Crews. 2000. “Strength assessment of timber utility poles in Australia.” In Proc., 26th Forest Products Research Conf., 19–21. Clayton, Australia: CSIRO Forestry and Forestry and Forest Products.
Yuan, H., W. Zhang, J. Zhu, and A. C. Bagtzoglou. 2018. “Resilience assessment of overhead power distribution systems under strong winds for hardening prioritization.” ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng. 4 (4): 1–10. https://doi.org/10.1061/AJRUA6.0000988.
Yuan, L., S. Yeddanapudi, J. D. McCalley, A. A. Chowdhury, and M. Moorehead. 2005. “Degradation-path model for wood pole asset management.” In Proc., 37th Annual North American Power Symp., 275–280. New York: IEEE.
Zhou, Y., A. Pahwa, and S. S. Yang. 2006. “Modeling weather-related failures of overhead distribution lines.” IEEE Trans. Power Syst. 21 (4): 1683–1690. https://doi.org/10.1109/TPWRS.2006.881131.

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Published In

Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 7Issue 1March 2021

History

Received: Nov 24, 2019
Accepted: Aug 19, 2020
Published online: Nov 27, 2020
Published in print: Mar 1, 2021
Discussion open until: Apr 27, 2021

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Authors

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Xiaolong Ma, S.M.ASCE
Graduate Student, Dept. of Civil and Environmental Engineering, Univ. of Connecticut, Storrs, CT 06269.
Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Connecticut, Storrs, CT 06269 (corresponding author). ORCID: https://orcid.org/0000-0001-8364-9953. Email: [email protected]
A. Bagtzoglou, F.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Univ. of Connecticut, Storrs, CT 06269. Email: [email protected]
Jin Zhu, A.M.ASCE [email protected]
Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Connecticut, Storrs, CT 06269. Email: [email protected]

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