Article
Engineering, Multidisciplinary
Abdorasoul Ghasemi, Hermann de Meer
Summary: This article discusses the cascading failure process in interdependent power-communication networks, proposes weak and strong interdependency models, and presents a congestion-aware load balancing scheme. The study examines the cascade process in the system and captures the potential positive and negative effects of interdependency between the networks.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Lin Ding, Lunxiao Xie, Xiao-Ke Xu
Summary: The study introduces a fresh framework for systematically analyzing cascading failures in interdependent networks composed of power and communication layers with different types of rich-clubs. Results indicate that networks with a weaker rich-club in the communication layer or a stronger inter-layer rich-club demonstrate better robustness, and optimal network performance can be achieved by considering both factors. These findings highlight the importance of rich-club connectivity in designing optimization strategies against cascading failures.
IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS
(2022)
Article
Engineering, Multidisciplinary
I-Cheng Lin, Osman Yagan, Carlee Joe-Wong
Summary: In networked systems, initial failures at a small part may trigger cascading failures, which can lead to the breakdown of the entire system. This vulnerability is more severe in modern systems with interdependent networks. The paper studies the robustness of such systems and proposes a dynamic coupling coefficient strategy to improve the system's resilience.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Physics, Multidisciplinary
Ning Wang, Zi-Yang Jin, Jiao Zhao
Summary: This study explores the robustness of interdependent networks considering different attack strategies, connection strategies, and load distribution mechanisms. Findings suggest that cascade failures are more evident in networks with assorted connections where load nodes are more concentrated. Additionally, networks with a DC strategy (connect nodes with high load in network A and nodes with low load in network B) exhibit the worst robust level against cascading failures under intentional attacks.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Physics, Multidisciplinary
Mengyu Lv, Linqiang Pan, Xueming Liu
Summary: Previous research on the robustness of interdependent networks focused on undirected networks, while directed networks were only limited to random or targeted attacks. However, some failure scenarios such as earthquakes, floods, and epidemics cannot be described by these attacks as they are localized. This study introduces a theoretical framework to analyze the robustness of interdependent directed networks under localized attacks. It is found that for degree homogeneous networks, network robustness under localized attacks is similar to that under random attacks. For degree heterogeneous networks, localized attacks are more likely to lead to collapse than random attacks. The findings provide insights into network robustness and can contribute to the design of robust interdependent systems.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Mathematics, Interdisciplinary Applications
Mattia Frasca, Lucia Valentina Gambuzza
Summary: This paper introduces a distributed control strategy to prevent dynamically-induced cascading failures in power grids. By modeling power grids using complex networks and nonlinear dynamics, the approach successfully prevents cascading failures in various power grid models.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Computer Science, Information Systems
Rachad Atat, Muhammad Ismail, Shady S. Refaat, Erchin Serpedin, Thomas Overbye
Summary: Future smart grids involve multiple interactions between power grid and communication network, requiring joint vulnerability analysis to reduce the risk of large-scale cascading failures. A proposed attack strategy targets the most influential nodes in both subsystems, showing comparable or larger damage impact compared to traditional exhaustive search attack with lower complexity.
IEEE SYSTEMS JOURNAL
(2022)
Article
Computer Science, Information Systems
Aliasghar Salehpour, Irfan Al-Anbagi, Kin-Choong Yow, Xiaolin Cheng
Summary: In this paper, a novel cyber-attack failure propagation model in smart grids is proposed, which accurately models cascading failures based on power and communication characteristics and interdependencies. The model identifies the most-vulnerable nodes to improve system robustness.
Article
Engineering, Electrical & Electronic
Xinkai Fan, Ekaterina Dudkina, Lucia Valentina Gambuzza, Mattia Frasca, Emanuele Crisostomi
Summary: In this work, a novel model based on a structure-preserving approach is developed to describe a power grid. The model takes into consideration classic voltage and frequency protection mechanisms. By studying the Italian power grid, it is found that more realistic models are crucial in determining the size of cascading failures and the sequence of involved links.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Engineering, Industrial
Anna Varbella, Blazhe Gjorgiev, Giovanni Sansavini
Summary: Past events have shown that widespread blackouts are often caused by cascading failures in the power grid. Understanding the underlying mechanisms of these failures is important in developing strategies to minimize their risks. Real-time detection of precursors to cascading failures can help operators take preventive measures. This study proposes a data-driven methodology for online estimation of cascading failure risks by using deep learning techniques. The results show that the developed Graph Neural Network (GNN) model has an accuracy and balanced accuracy above 96% on selected test datasets, outperforming the Feed-forward Neural Network (FNN) model.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Computer Science, Information Systems
Jaymin Moffatt, Ayham Zaitouny, Melinda R. Hodkiewicz, Michael Small
Summary: Experienced process plant personnel have observed that corrective maintenance work on one asset often leads to subsequent corrective work on the same asset or connected assets, known as cascading failures. This study utilizes complex network analysis to identify and prevent cascading events in a process plant, using data from over 50,000 work orders. The analysis identifies assets with significant impact on others and super-spreaders pumps, which experience corrective maintenance events that affect other pumps. Adjusting the model's time windows can help improve operational and maintenance practices.
Article
Multidisciplinary Sciences
Malgorzata Turalska, Ananthram Swami
Summary: This paper explores optimal conditions for controlling cascading failures in interdependent networks. The study finds that coupling a layer operating in a supercritical regime with a layer in a subcritical zone can reduce the probability of cascades. Additionally, there are parasitic and mutualistic control strategies identified in the research.
SCIENTIFIC REPORTS
(2021)
Article
Computer Science, Information Systems
Vetrivel Subramaniam Rajkumar, Alexandru Stefanov, Alfan Presekal, Peter Palensky, Jose Luis Rueda Torres
Summary: Cascading effects in the power grid can be caused by cyber attacks, which have become more prevalent with the increasing digitalisation of power systems. By studying historic blackouts and identifying key cyber-physical factors, we demonstrate the connection between cyber attacks and cascading failures. Our synthetic case-study and simulation results provide evidence for the impact of cyber attacks on power grids.
Article
Computer Science, Information Systems
Xiaoliang Wang, Fei Xue, Qigang Wu, Shaofeng Lu, Lin Jiang, Yue Hu
Summary: This article summarizes power grids as temporal weighted networks (TWNs) which have fixed topological structure but time varying weight distribution. It proposes an inverse-community (IC) structure to intuitively identify the risk of cascading failures and upgrades the conventional modularity to inverse-modularity (IM) to quantify the characteristic of IC structure in power networks. Additionally, a security/economic dispatch (SED) method is designed to handle the optimal power dispatch issues considering the risk of cascading failures represented by IM and the cost of power network operation. Simulation results and tests on the IEEE 118-bus system demonstrate the effectiveness of the proposed SED method in mitigating cascading failure risks.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Wei Huang, Yuxin Gao, Tianyi Zhang, Hua Gao
Summary: In this paper, a novel coupled model is proposed to address the robustness issue in cyber-physical systems under cascading failures. The Q-learning algorithm is adopted to find the optimal recovery sequence with minimal recovery times. Comparative analysis shows that branch recovery strategy requires less recovery cost and the Q-learning-based algorithm effectively finds the optimal sequence.
NEURAL COMPUTING & APPLICATIONS
(2023)
