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Power system coherency recognition and islanding: Practical limits and future perspectives
Author(s) -
Chamorro Harold R.,
GomezDiaz Edgar O.,
Paternina Mario R. A.,
Andrade Manuel A.,
Barocio Emilio,
Rueda Jose L.,
GonzalezLongatt Francisco,
Sood Vijay K.
Publication year - 2023
Publication title -
iet energy systems integration
Language(s) - English
Resource type - Journals
ISSN - 2516-8401
DOI - 10.1049/esi2.12081
Subject(s) - blackout , islanding , electric power system , computer science , automation , power (physics) , process (computing) , reliability engineering , electric power , control engineering , engineering , physics , quantum mechanics , mechanical engineering , operating system
Abstract 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 data‐analytic technologies.

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