Toward a Consensus on the Definition and Taxonomy of Power System Resilience | Zendy

Amin Gholami | Zendy; Tohid Shekari | Zendy; Mohammad Hassan Amirioun | Zendy; Farrokh Aminifar | Zendy; M. Hadi Amini | Zendy; Arman Sargolzaei | Zendy

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Toward a Consensus on the Definition and Taxonomy of Power System Resilience

Author(s) -

Amin Gholami,

Tohid Shekari,

Mohammad Hassan Amirioun,

Farrokh Aminifar,

M. Hadi Amini,

Arman Sargolzaei

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2845378

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

This paper analyzes the notion of resilience in power systems from a fundamental viewpoint and thoroughly examines its practical implications. This paper aims to describe and classify different high-impact rare (HR) events, provide a more technical definition of power system resilience, and discuss linkages between resilience and other well-established concepts, such as security and reliability. Most relevant decisions of system operators in the face of HR events involve a significant level of stress and strain. In order to make informed decisions within this context, it is crucial to have an all-inclusive picture of the state of the system. This paper provides an appropriate framework that not only characterizes the various states of the system but also derives informed decisions from a resilience-oriented perspective. It also describes and analyzes diverse resilience improvement strategies. Comprehensive models and classifications are provided to clearly capture various aspects of power system resilience.

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