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Open AccessJournal ArticleDOI

Power Grids as Complex Networks: Resilience and Reliability Analysis

Ali Moradi Amani, +1 more
- 24 Aug 2021 - 
- Vol. 9, pp 119010-119031
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TLDR
In this article, a critical review of vitality metrics and their precision in power grid resilience analysis is presented, accompanied by some simulations on benchmark and real power grids to show the applicability of these concepts in studying resilience.
Abstract
Power grids are cyber-physical systems and can be modelled as network systems where individual units (generators, busbars and loads) are interconnected through physical and cyber links. Network components (nodes/edges) may undergo intentional and/or random failures. In catastrophic cases, a failure initiating from a small set of these components can quickly propagate through the whole network, leading to a cascade of failures that might force a deep whole-grid blackout. Often network components have different vitality and protecting some is more critical than others. This manuscript aims to provide a focused overview of modelling power grids as complex networks and their resilience and reliability analysis. We also perform a critical review of vitality metrics and their precision in power grid resilience analysis. The review is accompanied by some simulations on benchmark and real power grids to show the applicability of these concepts in studying resilience.

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Citations
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Coordinating Energy Resources in an Islanded Microgrid for Economic and Resilient Operation

TL;DR: In this paper , an energy resource coordination strategy is proposed for a hydro-diesel-battery islanded microgrid, which improves distribution system resiliency by preevent control and switching to resilient mode from economic mode.
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Data-Driven Automatic Generation Control of Interconnected Power Grids Subject to Deception Attacks

TL;DR: In this article, a data-driven adaptive control (DDAC) technique is proposed for the automatic generation control (AGC) problem of an interconnected power grid subject to deception attack (DA).
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Data-Driven Automatic Generation Control of Interconnected Power Grids Subject to Deception Attacks

TL;DR: In this article , a data-driven adaptive control (DDAC) technique is proposed for the automatic generation control (AGC) problem of an interconnected power grid subject to deception attack (DA).
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Partial‐nodes‐based state estimation for state‐saturated complex networks with random mixed couplings under dynamic event‐triggered protocol

TL;DR: In this article , a partial-nodes-based (PNB) estimator is designed in the presence of general nonlinearities and state-saturated nonlinearity, which can estimate the whole states of network nodes with the aid of the measurement information from partial nodes.
References
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Journal ArticleDOI

Collective dynamics of small-world networks

TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
Journal ArticleDOI

Emergence of Scaling in Random Networks

TL;DR: A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
Book

Networks: An Introduction

Mark Newman
TL;DR: This book brings together for the first time the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas.
Journal ArticleDOI

Complex networks: Structure and dynamics

TL;DR: The major concepts and results recently achieved in the study of the structure and dynamics of complex networks are reviewed, and the relevant applications of these ideas in many different disciplines are summarized, ranging from nonlinear science to biology, from statistical mechanics to medicine and engineering.
Journal ArticleDOI

A Set of Measures of Centrality Based on Betweenness

TL;DR: A family of new measures of point and graph centrality based on early intuitions of Bavelas (1948) is introduced in this paper, which define centrality in terms of the degree to which a point falls on the shortest path between others and there fore has a potential for control of communication.
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