Resilience‐based tri‐level framework for simultaneous transmission and substation expansion planning considering extreme weather‐related events

Shivaie, Mojtaba; Kiani-Moghaddam, Mohammad; Weinsier, Philip D.

doi:10.1049/iet-gtd.2019.1512

Cited by 10 publications

(2 citation statements)

References 37 publications

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“…Ref. [8] proposed a disaster scenario‐building method for analysing extreme weather events and their adverse response from the perspective of severe weather and power network resilience. Refs.…”

Section: Introductionmentioning

confidence: 99%

Optimal decision‐making method of transmission lines' maintenance sequence under extreme ice disasters

Wang

Yang

Wang

et al. 2023

Energy Conversion and Econom

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Prolonged exposure of power transmission lines to extreme ice disasters in the atmosphere disrupts transmission. First, this study establishes a comprehensive failure probability model for the impact of extreme ice disasters on the transmission lines to better understand and improve the transmission lines' ability to withstand such disasters. It predicts the line failure probability based on the initial design data of the lines. Second, the system's weak points are identified, and the fault scenario set is established using the Monte Carlo state sampling method. Next, the system's state is calculated using the resilience assessment index and the DC optimal load reduction model. Finally, an optimal decision‐making method for the transmission line maintenance sequence is proposed from the post‐disaster maintenance scheduling perspective. Considering the travel time and maintenance effect, this method can effectively restore the system state in response to extreme ice disasters. The IEEE 30‐bus power system is taken as an example of simulation verification. The results show that this method can effectively complete the system load state restoration and improve the transmission system's resilience. It also has certain practicality and good practical application values.

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Section: Introductionmentioning

confidence: 99%

Optimal decision‐making method of transmission lines' maintenance sequence under extreme ice disasters

Wang

Yang

Wang

et al. 2023

Energy Conversion and Econom

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“…Authors in [22] promoted the presented model in [21] by considering the energy storage system and scenario generation framework. In [23], a resilience‐based tri‐level framework is presented for transmission and substation expansion planning (T&SEP), considering extreme weather‐related events by scenarios. In [24], a multi‐period scenario‐based model is proposed for coordinated GTEP to control the effects of seismic‐ and terrorist‐induced events.…”

Section: Introductionmentioning

confidence: 99%

A two‐stage simulation‐based framework for optimal resilient generation and transmission expansion planning

Firoozjaee

Sheikh‐El‐Eslami

2022

IET Generation Trans & Dist

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This paper presents a two‐stage resilient framework for generation and transmission expansion planning that profits static and dynamic models. The first stage problem finds the generation and transmission expansion results without considering extreme events. Given the planned power system, in the second stage, a simulation‐based method is employed to accurately model the effects of the severe events and measure the expected demand not served. The proposed framework updates the formulation of the planning problem to efficiently search for a new expansion plan resulting in higher resilience levels. This paper uses the maximizing social welfare in the planning model to find the optimal result. Also, the effect of maximizing social welfare in updating the formulation of the planning problem is investigated. In this case, the planning problem is a bi‐level problem that using the primal‐dual formulation leads to a single‐level problem called a mathematical program with equilibrium constraints. After the linearization, the planning problem becomes a mixed‐integer linear programming problem. The planning model profits from reinforced transmission lines to improve power system resilience. The proposed framework is evaluated on 4‐bus, 6‐bus, and 118‐bus systems. According to the results, the proposed method with a low additional cost boosts power system resilience.

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Vulnerability and Recovery Capacity Assessment of Real Distribution Systems

Camillo

Fanucchi

Bessani

et al. 2023

J Control Autom Electr Syst

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Resilience‐based tri‐level framework for simultaneous transmission and substation expansion planning considering extreme weather‐related events

Cited by 10 publications

References 37 publications

Optimal decision‐making method of transmission lines' maintenance sequence under extreme ice disasters

Optimal decision‐making method of transmission lines' maintenance sequence under extreme ice disasters

A two‐stage simulation‐based framework for optimal resilient generation and transmission expansion planning

Vulnerability and Recovery Capacity Assessment of Real Distribution Systems

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