Enhancing Power System Resilience With Controlled Islanding Strategies

Hayez, Lea; Faghihi, Farshid; Labeau, Pierre-Etienne; Henneaux, Pierre

doi:10.1109/pmaps53380.2022.9810578

Cited by 3 publications

(1 citation statement)

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“…Additionally, wind speed forecast has been incorporated in the system survivability network splitting in Ref. [49] to model storm‐related cascading failures accurately [50].…”

Section: Coherency Identification and Islanding: Analysis Methodsmentioning

confidence: 99%

Power system coherency recognition and islanding: Practical limits and future perspectives

Chamorro

Gomez‐Diaz

Paternina

et al. 2022

IET Energy Syst Integration

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Electrical power systems are continuously upgrading into networks with a higher degree of automation capable of identifying and reacting to different events that may trigger undesirable situations. In power systems with decreasing inertia and damping levels, poorly damped oscillations with sustained or growing amplitudes following a disturbance may eventually lead to instability and provoke a major event such as a blackout. Additionally, with the increasing and considerable share of renewable power generation, unprecedented operational challenges shall be considered when proposing protection schemes against unstable electro-mechanical (e.g. ringdown) oscillations. In an emergency situation, islanding operations enable splitting a power network into separate smaller networks to prevent a total blackout. Due to such changes, identifying the underlying types of oscillatory coherency and the islanding protocols are necessary for a continuously updating process to be incorporated into the existing power system monitoring and control tasks. This paper examines the existing evaluation methods and the islanding protocols as well as proposes an updated operational guideline based on the latest dataanalytic technologies.

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“…Additionally, wind speed forecast has been incorporated in the system survivability network splitting in Ref. [49] to model storm‐related cascading failures accurately [50].…”

Section: Coherency Identification and Islanding: Analysis Methodsmentioning

confidence: 99%