Multi-Agent-Based Fault Location and Cyber-Attack Detection in Distribution System

J.Albarakati, Aiman; Azeroual, Mohamed; Boujoudar, Younes; Iysaouy, Lahcen El; Aljarbouh, Ayman; Tassaddiq, Asifa; Markhi, Hassane El

doi:10.3390/en16010224

Cited by 8 publications

(3 citation statements)

References 25 publications

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“…To increase the scope and impact of this effort, it is also important to consider possible synergies with adjacent research fields and multidisciplinary collaborations. A confluence of more recent work [30,31] with these suggestions will be crucial for future developments.…”

Section: Discussionmentioning

confidence: 95%

Assessment of the Water Distribution Networks in the Kingdom of Saudi Arabia: A Mathematical Model

Albarakati,

Tassaddiq,

Srivastava

2023

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Graph theory is a branch of mathematics that is crucial to modelling applicable systems and networks using matrix representations. In this article, a novel graph-theoretic model was used to assess an urban water distribution system (WDS) in Saudi Arabia. This graph model is based on representing its elements through nodes and links using a weighted adjacency matrix. The nodes represent the points where there can be a water input or output (sources, treatment plants, tanks, reservoirs, consumers, connections), and links represent the edges of the graph that carry water from one node to another (pipes, pumps, valves). Four WDS benchmarks, pumps, tanks, reservoirs, and external sources were used to validate the framework at first. This validation showed that the worst-case scenarios for vulnerability were provided by the fault sequence iterating the calculation of the centrality measurements. The vulnerability framework’s application to the Saudi Arabian WDS enabled the identification of the system’s most vulnerable junctions and zones. As anticipated, the regions with the fewest reservoirs were most at risk from unmet demand, indicating that this system is vulnerable to the removal of junctions and pipes that are intricately associated with their neighbours. Different centrality metrics were computed, from which the betweenness centrality offered the worst vulnerability prediction measures. The aspects and zones of the WDS that can more significantly impact the water supply in the event of a failure were identified by the vulnerability framework utilising attack tactics.

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Section: Discussionmentioning

confidence: 95%

Assessment of the Water Distribution Networks in the Kingdom of Saudi Arabia: A Mathematical Model

Albarakati,

Tassaddiq,

Srivastava

2023

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“…The seamless integration of edge computing and cloud resources plays a crucial role in addressing issues of network congestion and bandwidth limitations [12].…”

Section: Federated Learning and Edge Aimentioning

confidence: 99%

Seamless Integration of Edge Computing and Cloud Resources for Enhanced Data Analysis

Balakrishna

2023

IJSREM

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Abstract-The primary objective of the seamless integration of edge computing and cloud resources for enhanced data analysis is to create a powerful and efficient data processing ecosystem that leverages the strengths of both edge devices and cloud infrastructure. This integration aims to provide real-time and resource- intensive data analysis capabilities, enabling organizations to make more informed decisions, respond quickly to events, and extract valuable insights from their data. It is an enhanced data analysis to create a holistic ecosystem that combines real-time responsiveness with robust analysis, enabling organizations to harness the full potential of their data for effective decision-making and innovation. In this paper we addressed what are the factors that influence and how we can improve the data privacy and security in the seamless integration of edge computing and cloud resources for enhanced data analysis Key words: edge computing, security and cloud resources

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“…Due to the access of DGs, when a fault occurs, the fault characteristics of ADNs are quite different from those of traditional distribution networks [10], which can be mainly summarized as follows: (1) The location of access points and the access capacity of DGs affect the direction of the system power flow and the amplitude of the fault current [11]. (2) The outputs of each DG are uncertain, causing uncertainty in the fault transient process.…”

Section: Introductionmentioning

confidence: 99%

Active Distribution Network Fault Diagnosis Based on Improved Northern Goshawk Search Algorithm

Guo,

Ji,

Wang

et al. 2024

Electronics

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Timely and accurate fault location in active distribution networks is of vital importance to ensure the reliability of power grid operation. However, existing intelligent algorithms applied in fault location of active distribution networks possess slow convergence speed and low accuracy, hindering the construction of new power systems. In this paper, a new regional fault localization method based on an improved northern goshawk search algorithm is proposed. The population quality of the samples was improved by using the chaotic initialization strategy. Meanwhile, the positive cosine strategy and adaptive Gaussian–Cauchy hybrid variational perturbation strategy were introduced to the northern goshawk search algorithm, which adopted the perturbation operation to interfere with the individuals to increase the diversity of the population, contributing to jumping out of the local optimum to strengthen the ability of local escape. Finally, simulation verification was carried out in a multi-branch distribution network containing distributed power sources. Compared with the traditional regional localization models, the new method proposed possesses faster convergence speed and higher location accuracy under different fault locations and different distortion points.

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Multi-Agent-Based Fault Location and Cyber-Attack Detection in Distribution System

Cited by 8 publications

References 25 publications

Assessment of the Water Distribution Networks in the Kingdom of Saudi Arabia: A Mathematical Model

Assessment of the Water Distribution Networks in the Kingdom of Saudi Arabia: A Mathematical Model

Seamless Integration of Edge Computing and Cloud Resources for Enhanced Data Analysis

Active Distribution Network Fault Diagnosis Based on Improved Northern Goshawk Search Algorithm

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