Cascading failures are a series of dependant component outages, each of which successively weakens the power system and may lead to large-scale blackouts. Recent blackouts have raised concerns about the reliability of electricity services in interconnected power grids with complicated system dynamics and control challenges.
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Cascading failures in power systems are extremely rare occurrences caused by a combination of multiple, low probability events. The looming threat of cyberattacks on power grids, however, may result in unprecedented large-scale cascading failures, leading to a blackout. Therefore, new analysis methods are needed to study such cyber induced phenomena. In this article, we
Particularly, cascading failures in power grids have been studied using power physics-based techniques,, simulation-based techniques,, probabilistic models,,, and graph-based modeling and analyses, .
One consequence of this complexity is that small unexpected disturbances trigger long chains of cascading component failures that can lead to massive power outages. Because of the many different mechanisms involved and the limited data available from historical cascades, modeling cascading failure is a challenging problem.
The propagation of cascading failures of modern power systems is mainly constrained by the network topology and system parameter. In order to alleviate the cascading failure impacts, it is necessary to adjust the original
This paper focuses on cascading failure in power systems, presents various features related and reviews the current progress on cascading failure analysis tools and models. Cascading failures can be initiated by various causes, among which many are unexpected and uncontrollable, that a total prevention is beyond the modern technology.
Cascading failures in bulk power systems are an important cause of blackouts [5]. A cascading blackout usually starts with one or more initial disturbances that trigger a dramatic redistribution of power flows and consequently some drastic phenomena throughout the power network [6]. Identifying critical risks of cascading failures in power systems
During cascading failures, power systems undergo many discrete changes that are caused by exogenous events (e.g., manual operations, weather) and endogenous events (e.g., automatic protective relay actions). The discrete event(s) will consequently change algebraic equations and the systems dy-
A well-known observation is that cascading failures in power systems propagate non-locally because of the complex mechanism of power grids. Such non-local propagation makes it particularly challenging to model, analyze and control the failure process. In this thesis, we tackle these challenges by establishing a mathematical theory to model and
This paper studies cascading failure propagation in power systems and presents methods for the quantification of important properties of failure propagation. First, the topological properties of cascading failure propagation are examined. This includes an analysis of the electrical distance between consecutive failures, shedding light on the spatial spread of failures. Additionally, the
Power system cascading failures become more time variant and complex because of the increasing network interconnection and higher renewable energy penetration. High computational cost is the main obstacle for a more frequent online cascading failure search, which is essential to improve system security. We propose a more efficient search framework with the aid of a
The increasing penetration of wind power may have a profound effect on the cascading dynamics of power delivery systems. In this study, we consider the impacts of packet traffic congestion, power overloading and network interaction on the failure evolution, and investigate the impacts of wind uncertainty and penetration level on the vulnerability of the
of cascades using power system simulations with dynamic models are limited in quantity. This study aims to contribute to the current literature and to show that simulations utilizing full dynamic modeling of power system elements have the ability to demonstrate cascading failures. Index Terms—Cascading failures, Power system dynamic sim-
5.1.1 Introduction. In essence, cascading failures emerge when outage mechanisms interact and show dependency patterns. Because modern grids incorporate new devices with new modes of becoming unstable, and these contribute to increasing the complexity of cascades, it becomes very important to understand how to place an upper bound on the
The access of a high proportion of renewable energies has deepened the randomness and complexity of cascading failures (CFs) in power systems. In this regard, a real-time risk assessment method for CFs in power systems with high proportion of new energy is proposed. First, combined with historical statistical data and relevant national
In power systems, the integrity of key components is crucial for maintaining stability and preventing cascading failures and blackouts, especially under conditions of significant system stress [] ch stress is frequently catalyzed by a variety of factors, notably the uncertainties associated with renewable power generation and load demand fluctuations [2, 3].
Hidden failures are among the top reasons for cascading failures in the power system [7, 10]. Particularly, hidden failure remains undetected until it is triggered by another system failure . In this paper, we study the line protection hidden failure by considering how protective relays work. Protective relays are designed to trip the circuit
In this thesis, we tackle these challenges by establishing a mathematical theory to model and characterize failure patterns, discover structural properties of failure propagation, and design
This paper focuses on cascading failure in power systems, presents various features related and reviews the current progress on cascading failure analysis tools and
Cascading failure analysis in power systems draws a wide attention from researchers due to frequent occurrence of blackouts all over the world during past decades. A variety of mathematical models and analysis tools have been proposed in order to better understand the complicated mechanisms during the cascading failure.
a sequence of interdependent component failures in power systems, called cascading failures, leading to large blackouts. Cascading failures and diffusion phenomena manifest in a multitude of real-life complex systems, exhibiting diverse forms
This paper focuses on cascading line failures in the trans-mission system of the power grid. Recent large-scale power outages demonstrated the limitations of percolation- and epidemic-based tools in modeling cascades. Hence, we study cascades by using computational tools and a linearized power ow model. We rst obtain results regarding the Moore-
It is adopted to modeling the stochastic factors in cascading failure of a power grid, such as hidden failure or misoperations. The result of this model can be used as an evaluation of overall probabilities of all states that depicts the cascading failure. The model can normally have a very large size.
He co-authored the book Power System Control Under Cascading Failures: Understanding, Mitigation and System Restoration (Wiley-IEEE Press, 2018) and edited the book Power System Simulation Using Semi-Analytical Methods (Wiley-IEEE Press, 2023). Dr. Sun has published over 30 journal papers on modeling, prevention, and mitigation of cascading
Propose a mathematical formulation of power system cascades that can allow for complicated intrinsic dynamics and various contingencies. 2. Develop a numerical algorithm based on the Jacobian-Free Newton-Krylov method for identifying catastrophic cascading failures in large-scale power systems with the guaranteed performance in theory. 3.
The propagation of cascading failures of modern power systems is mainly constrained by the network topology and system parameter. In order to alleviate the cascading failure impacts, it is necessary to adjust the original network topology considering the geographical factors, construction costs and requirements of engineering practice. Based on
To better characterize the potential effects of cascading failures in electric power grids, we have studied the statistical properties of cascades on the topology of real-world power...
Recently, a new nonlinear dynamic model of cascading failure in power systems (the Cascading Outage Simulator with Multiprocess Integration Capabilities, also known as COSMIC) has been introduced .
Cascading failures pose a significant threat to power grids and have garnered considerable research interest in the power system domain. The inherent uncertainty and severe impact associated with cascading failures have raised concerns, prompting the development of various techniques to study these complex phenomena.
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