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Andrea Pitto
Ricerca sul Sistema Energetico—RSE S.p.A., 20134 Milano, Italy

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Journal article
Published: 04 August 2021 in Energies
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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.

ACS Style

Emanuele Ciapessoni; Andrea Pitto; Diego Cirio. An Application of a Risk-Based Methodology to Anticipate Critical Situations Due to Extreme Weather Events in Transmission and Distribution Grids. Energies 2021, 14, 4742 .

AMA Style

Emanuele Ciapessoni, Andrea Pitto, Diego Cirio. An Application of a Risk-Based Methodology to Anticipate Critical Situations Due to Extreme Weather Events in Transmission and Distribution Grids. Energies. 2021; 14 (16):4742.

Chicago/Turabian Style

Emanuele Ciapessoni; Andrea Pitto; Diego Cirio. 2021. "An Application of a Risk-Based Methodology to Anticipate Critical Situations Due to Extreme Weather Events in Transmission and Distribution Grids." Energies 14, no. 16: 4742.

Journal article
Published: 10 August 2020 in Electric Power Systems Research
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Increasingly severe weather threats urge system operators to apply a systematic approach to cope with emergencies. In this context, a sound estimation of the time needed to recover electric service and infrastructure plays an important role for recovery management. The paper proposes a quantitative methodology to simulate the service and infrastructure recovery process with its uncertainties, highlighting the dependence of the main recovery characteristics (e.g. duration, energy not supplied) on several technical and environmental aspects (e.g. visibility, road availability). Simulations run on a realistic HV (High Voltage) grid show that results are consistent with operator's experience, and the approach can be used to improve the organization and management of the recovery process at planning and actual emergency stages.

ACS Style

E. Ciapessoni; D. Cirio; A. Pitto; M. Sforna. A quantitative methodology to assess the process of service and infrastructure recovery in power systems. Electric Power Systems Research 2020, 189, 106735 .

AMA Style

E. Ciapessoni, D. Cirio, A. Pitto, M. Sforna. A quantitative methodology to assess the process of service and infrastructure recovery in power systems. Electric Power Systems Research. 2020; 189 ():106735.

Chicago/Turabian Style

E. Ciapessoni; D. Cirio; A. Pitto; M. Sforna. 2020. "A quantitative methodology to assess the process of service and infrastructure recovery in power systems." Electric Power Systems Research 189, no. : 106735.

Journal article
Published: 05 August 2020 in Applied Sciences
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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.

ACS Style

Emanuele Ciapessoni; Diego Cirio; Andrea Pitto; Marino Sforna. Quantification of the Benefits for Power System of Resilience Boosting Measures. Applied Sciences 2020, 10, 5402 .

AMA Style

Emanuele Ciapessoni, Diego Cirio, Andrea Pitto, Marino Sforna. Quantification of the Benefits for Power System of Resilience Boosting Measures. Applied Sciences. 2020; 10 (16):5402.

Chicago/Turabian Style

Emanuele Ciapessoni; Diego Cirio; Andrea Pitto; Marino Sforna. 2020. "Quantification of the Benefits for Power System of Resilience Boosting Measures." Applied Sciences 10, no. 16: 5402.

Journal article
Published: 30 December 2017 in Energies
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A thorough investigation of power system security requires the analysis of the vulnerabilities to natural and man-related threats which potentially trigger multiple contingencies. In particular, extreme weather events are becoming more and more frequent due to climate changes and often cause large load disruptions on the system, thus the support for security enhancement gets tricky. Exploiting data coming from forecasting systems in a security assessment environment can help assess the risk of operating power systems subject to the disturbances provoked by the weather event itself. In this context, the paper proposes a security assessment methodology, based on an updated definition of risk suitable for power system risk evaluations. Big data analytics can be useful to get an accurate model for weather-related threats. The relevant software (SW) platform integrates the security assessment methodology with prediction systems which provide short term forecasts of the threats affecting the system. The application results on a real wet snow threat scenario in the Italian High Voltage grid demonstrate the effectiveness of the proposed approach with respect to conventional security approaches, by complementing the conventional “N − 1” security criterion and exploiting big data to link the security assessment phase to the analysis of incumbent threats.

ACS Style

Emanuele Ciapessoni; Diego Cirio; Andrea Pitto; Pietro Marcacci; Matteo Lacavalla; Stefano Massucco; Federico Silvestro; Marino Sforna. A Risk-Based Methodology and Tool Combining Threat Analysis and Power System Security Assessment. Energies 2017, 11, 83 .

AMA Style

Emanuele Ciapessoni, Diego Cirio, Andrea Pitto, Pietro Marcacci, Matteo Lacavalla, Stefano Massucco, Federico Silvestro, Marino Sforna. A Risk-Based Methodology and Tool Combining Threat Analysis and Power System Security Assessment. Energies. 2017; 11 (1):83.

Chicago/Turabian Style

Emanuele Ciapessoni; Diego Cirio; Andrea Pitto; Pietro Marcacci; Matteo Lacavalla; Stefano Massucco; Federico Silvestro; Marino Sforna. 2017. "A Risk-Based Methodology and Tool Combining Threat Analysis and Power System Security Assessment." Energies 11, no. 1: 83.

Journal article
Published: 01 April 2017 in Energies
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Assessment of dynamic stability in a modern power system (PS) is becoming a stringent requirement both in operational planning and in on-line operation, due to the increasingly complex dynamics of a PS. Further, growing uncertainties in forecast state and in the response to disturbances suggests the adoption of risk-based approaches in Dynamic Security Assessment (DSA). The present paper describes a probabilistic risk-based DSA, which provides instability risk indicators by combining an innovative probabilistic hazard/vulnerability analysis with the assessment of contingency impacts via time domain simulation. The tool implementing the method can be applied to both current and forecast PS states, the latter characterized in terms of renewable and load forecast uncertainties, providing valuable results for operation and operational planning contexts. Some results from a real PS model are discussed.

ACS Style

Emanuele Ciapessoni; Diego Cirio; Stefano Massucco; Andrea Morini; Andrea Pitto; Federico Silvestro. Risk-Based Dynamic Security Assessment for Power System Operation and Operational Planning. Energies 2017, 10, 475 .

AMA Style

Emanuele Ciapessoni, Diego Cirio, Stefano Massucco, Andrea Morini, Andrea Pitto, Federico Silvestro. Risk-Based Dynamic Security Assessment for Power System Operation and Operational Planning. Energies. 2017; 10 (4):475.

Chicago/Turabian Style

Emanuele Ciapessoni; Diego Cirio; Stefano Massucco; Andrea Morini; Andrea Pitto; Federico Silvestro. 2017. "Risk-Based Dynamic Security Assessment for Power System Operation and Operational Planning." Energies 10, no. 4: 475.