Modelling the vulnerability of overhead lines against tree contacts for resilience assessment

Ciapessoni, Emanuele; Cirio, D.; Pitto, A.; Pirovano, Giovanni; Sforna, M.

doi:10.1109/pmaps47429.2020.9183607

Cited by 8 publications

(6 citation statements)

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“…The model of OHL vulnerability to tree contacts considers the interaction between the geometry and the operating condition of the line (e.g., support height, span length, flowing current), environmental factors (e.g., air temperature, wind speed, precipitation rate), tree characteristics (e.g., its weight) and the spatial relationships between the tree and the line [26,27].…”

Section: Tree Fall: Modeling the Threat And Tandd Component Vulnerabilitiesmentioning

confidence: 99%

“…More details on the vulnerability models of OHLs against interfering vegetation are reported in [26].…”

Section: Tree Fall: Modeling the Threat And Tandd Component Vulnerabilitiesmentioning

confidence: 99%

“…Locally, wind gusts are characterized by wind speed values much higher (also 2-3 times higher) than the mean value forecasted by Numerical Weather Forecast, which is taken into account in the model. The expected values of the parameters characterizing the trees (mainly larches) are reported in Table 2 [26]. Rotational stiffness of roots kN m/rad 10 4…”

Section: Test System and Summary Of Simulationsmentioning

confidence: 99%

“…The geometric parameters of the lines (support heights, cross arm widths) are set on the basis of design criteria from operators' codes: in particular, most frequent values for bracing widths and support heights for HV (MV) line towers are, respectively, 6 (0.8) m and 30 (12) m. Both copper and ACSR standard conductors are adopted for MV lines, while ACSR standard conductors are used in HV and EHV lines [26].…”

Section: Test System and Summary Of Simulationsmentioning

confidence: 99%

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An Application of a Risk-Based Methodology to Anticipate Critical Situations Due to Extreme Weather Events in Transmission and Distribution Grids

2021

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Nowadays, distribution network operators are urged by regulatory authorities to reduce the load disruptions due to extreme weather events, i.e., to enhance network resilience: in particular, in Italy they are required to present a yearly plan (called “resilience plans”) describing the interventions aimed to improve network resilience. To this purpose, they need new methodologies and tools to assess the network resilience and to quantify the benefits of countermeasures. This paper proposes the application of a risk-based framework and tool to assess the impacts of extreme weather events in T&D grids, which anticipate critical network situations in presence of incumbent weather threats. To do this, the forecasting of weather events is combined with the component vulnerability models in order to predict which components are more prone to fail. Based on this set of components, the set of most risky contingencies is identified and their impacts on the distribution network in terms of unsupplied load are quantified. The major advantage of the applied methodology is its generality: in fact, it is applicable to both distribution and transmission systems as well as integrated transmission and distribution (T&D) systems, considering the peculiarities of each type of grid, in terms of operation, maintenance and component vulnerabilities. In particular, the application refers to a distribution network connected to a portion of high voltage transmission system in a mountainous zone, with focus on two major threats in the area, i.e., wet snow and fall of trees induced by combined wind and snow. The methodology also quantifies the benefits brought to the system resilience by countermeasures such as reconductoring, optimal reconfiguration or new right-of-way maintenance procedures. Simulations demonstrate the ability of the methodology to support T&D operators in an operational planning context in case of different incumbent threats.

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Section: Tree Fall: Modeling the Threat And Tandd Component Vulnerabilitiesmentioning

confidence: 99%

“…More details on the vulnerability models of OHLs against interfering vegetation are reported in [26].…”

Section: Tree Fall: Modeling the Threat And Tandd Component Vulnerabilitiesmentioning

confidence: 99%

Section: Test System and Summary Of Simulationsmentioning

confidence: 99%

Section: Test System and Summary Of Simulationsmentioning

confidence: 99%

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An Application of a Risk-Based Methodology to Anticipate Critical Situations Due to Extreme Weather Events in Transmission and Distribution Grids

2021

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“…Wet snow event modeling requires the forecasts of ambient temperature, precipitation rate, wind speed and direction, which come from numerical weather prediction models (NWP). Contingency forecasting is a general measure because it allows to anticipate critical conditions in case of threats other than wet snow, for example pollution [27] and tree fall [28].…”

Section: A General Active Measure: Contingency Forecastingmentioning

confidence: 99%

Quantification of the Benefits for Power System of Resilience Boosting Measures

et al. 2020

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Severe natural events leading to wide and intense impacts on power systems are becoming more and more frequent due to climate changes. Operators are urged to set up plans to assess the possible consequences of such events, in view of counteracting them. To this aim, the application of the resilience concept can be beneficial. The paper describes a methodology for power system resilience assessment and enhancement, aimed at quantifying both system resilience indicators evaluated for severe threats, and the benefits to resilience brought by operational and grid hardening measures. The capabilities of the methodology are demonstrated on real study cases.

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