Real-Time Cascading Failures Prevention for Multiple Contingencies in Smart Grids Through a Multi-Agent System

Babalola, Adeniyi A.; Belkacemi, Rabie; Zarrabian, Sina

doi:10.1109/tsg.2016.2553146

Cited by 49 publications

(17 citation statements)

References 22 publications

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“…Nevertheless, they were not considering reactive power in their approach to define overloading. Recently, Babalola et al [1] proposed a multi-agent algorithm that, it does not require load shedding to prevent cascading failures, such as overloaded lines after a contingency occurs. Nonetheless, their work is focused on power generators only.…”

Section: Related Workmentioning

confidence: 99%

Preventing Overloading Incidents on Smart Grids: A Multiobjective Combinatorial Optimization Approach

Antoniadis

Cordy

Sifaleras

et al. 2020

Communications in Computer and Information Science

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Cable overloading is one of the most critical disturbances that may occur in smart grids, as it can cause damage to the distribution power lines. Therefore, the circuits are protected by fuses so that, the overload could trip the fuse, opening the circuit, and stopping the flow and heating. However, sustained overloads, even if they are below the safety limits, could also damage the wires. To prevent overload, smart grid operators can switch the fuses on or off to protect the circuits, or remotely curtail the over-producing/over-consuming users. Nevertheless, making the most appropriate decision is a daunting decision-making task, notably due to contractual and technical obligations. In this paper, we define and formulate the overloading prevention problem as a Multiobjective Mixed Integer Quadratically Constrained Program. We also suggest a solution method using a combinatorial optimization approach with a state-of-the-art exact solver. We evaluate this approach for this real-world problem together with Creos Luxembourg S.A., the leading grid operator in Luxembourg, and show that our method can suggest optimal countermeasures to operators facing potential overloading incidents.

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Section: Related Workmentioning

confidence: 99%

Preventing Overloading Incidents on Smart Grids: A Multiobjective Combinatorial Optimization Approach

Antoniadis

Cordy

Sifaleras

et al. 2020

Communications in Computer and Information Science

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“…However, the paper did not describe how those failures arise. The authors in [30] presented the idea of a multi-agent system to prevent cascading failures in the power grid that might have originated because of CPA in the cyber domain. It is essential to understand how such attacks originate and what are the critical parameters to consider while developing resilient algorithms for the power system.…”

Section: Cross Infrastructurementioning

confidence: 99%

A Comprehensive Analysis of Smart Grid Systems against Cyber-Physical Attacks

2018

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In this paper, we present a comprehensive study of smart grid security against cyber-physical attacks on its distinct functional components. We discuss: (1) a function-based methodology to evaluate smart grid resilience against cyber-physical attacks; (2) a Bayesian Attack Graph for Smart Grid (BAGS) tool to compute the likelihood of the compromise of cyber components of the smart grid system; (3) risk analysis methodology, which combines the results of the function-based methodology and BAGS to quantify risk for each cyber component of the smart grid; and (4) efficient resource allocation in the smart grid cyber domain using reinforcement learning (extension of BAGS tool) to compute optimal policies about whether to perform vulnerability assessment or patch a cyber system of the smart grid whose vulnerability has already been discovered. The results and analysis of these approaches help power engineers to identify failures in advance from one system component to another, develop robust and more resilient power systems and improve situational awareness and the response of the system to cyber-physical attacks. This work sheds light on the interdependency between the cyber domain and power grid and demonstrates that the security of both worlds requires the utmost attention. We hope this work assists power engineers to protect the grid against future cyber-physical attacks.

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“…Furthermore, the literature includes many studies– that address this problem in complex systems, many of which cover the domain of power grids, which represent typical CPSs. In power grids, it has been proven that they have a higher rate of occurrences with effects such as electrical instability and large blackouts –. The work of Babalola et al prevents cascading failures in the smart grid by leveraging a multi‐agent system and an algorithm based on mathematical combinations to re‐dispatch the power from the generators in case of multiple contingencies.…”

Section: Reliability In Cpssmentioning

confidence: 99%

“…Several approaches for CPS data analysis were presented in other works, 8,9,34 in which resilient data aggregation algorithms, a combination of machine learning, data mining, statistical analysis and self-tuning techniques, and time series data mining algorithms were used to guarantee CPS data reliability. 22 the CPS reliability isolation and recovery Cascading failure Combination of multi-agent Investigates the behaviors Does not consider prediction method 35 techniques and hybrid of cascading failures failure detection, genetic algorithms to further study isolation, and recovery their prediction and defense The combination of the two FDI categories leads to specific CPS solutions for failure and intrusion detection as shown by the approaches described in the works of Guo et al 11 and Mitchell and Chen. 12 Multi-agent systems can also be used to detect and prevent failures while providing support for the self-adaptation and self-organization of CPS.…”

Section: Techniques For Data Reliabilitymentioning

confidence: 99%

Reliability, failure detection and prevention in cyber‐physical systems (CPSs) with agents

Sanislav

Zeadally

Moiş

et al. 2018

Concurrency and Computation

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Summary The complexity of cyber‐physical systems (CPSs) opens up several challenges regarding the assurance of high levels of reliability. Therefore, we need to develop a new data quality analysis and new CPS components/subsystems for the detection, isolation, recovery, and prevention of failures and intrusion events. Furthermore, we have to develop new reliability assessment models and metrics in order to properly evaluate CPSs. Agent technologies, through their characteristics such as autonomy, social ability, reactivity, and proactivity, have the potential to address these challenges and requirements. We propose a multi‐agent based solution, namely ReliaCPS, for detecting and preventing the failures of the system components of CPSs. We also use a case study of a CPS for monitoring ambient parameters to evaluate the performance of the proposed approach. Our results indicate improvements in terms of reliability metrics (32.69% for the mean time between failures and mean time to failure, 50% for the mean time to repair and 0.94% for reliability function over time).

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Real-Time Cascading Failures Prevention for Multiple Contingencies in Smart Grids Through a Multi-Agent System

Cited by 49 publications

References 22 publications

Preventing Overloading Incidents on Smart Grids: A Multiobjective Combinatorial Optimization Approach

Preventing Overloading Incidents on Smart Grids: A Multiobjective Combinatorial Optimization Approach

A Comprehensive Analysis of Smart Grid Systems against Cyber-Physical Attacks

Reliability, failure detection and prevention in cyber‐physical systems (CPSs) with agents

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