A multi-agent based power system restoration approach in distributed smart grid

Khamphanchai, Warodom; Pisanupoj, Songkran; Ongsakul, Weerakorn; Pipattanasomporn, Manisa

doi:10.1109/icuepes.2011.6497754

Cited by 23 publications

(16 citation statements)

References 18 publications

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“…Relocation Migration of software components or tasks are studied in the field of resource optimization, utilization and dynamic scheduling on (virtual) machines. Optimization algorithms [143], multi-agent systems [178] or reinforcement learning [179] find a new task configuration utilizing resources in case of a platform failure. Tasks may also be migrated in advance when the health state decreases [154].…”

Section: Agreement / Voting or Fusion Byzantine Failures (Inconsistenmentioning

confidence: 99%

A Roadmap Toward the Resilient Internet of Things for Cyber-Physical Systems

et al. 2019

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The Internet of Things (IoT) is a ubiquitous system connecting many different devices -the things -which can be accessed from the distance. The cyber-physical systems (CPS) monitor and control the things from the distance. As a result, the concepts of dependability and security get deeply intertwined. The increasing level of dynamicity, heterogeneity, and complexity adds to the system's vulnerability, and challenges its ability to react to faults. This paper summarizes state-of-the-art of existing work on anomaly detection, fault-tolerance and self-healing, and adds a number of other methods applicable to achieve resilience in an IoT. We particularly focus on non-intrusive methods ensuring data integrity in the network. Furthermore, this paper presents the main challenges in building a resilient IoT for CPS which is crucial in the era of smart CPS with enhanced connectivity (an excellent example of such a system is connected autonomous vehicles). It further summarizes our solutions, work-in-progress and future work to this topic to enable "Trustworthy IoT for CPS". Finally, this framework is illustrated on a selected use case: A smart sensor infrastructure in the transport domain.

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Section: Agreement / Voting or Fusion Byzantine Failures (Inconsistenmentioning

confidence: 99%

A Roadmap Toward the Resilient Internet of Things for Cyber-Physical Systems

et al. 2019

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“…This implies the guarantee that if a problem occurs on the main distribution network, the isolated part will not be affected. The problem of keeping the system in good operating order can be represented as an optimization problem in which the number of well-served node is maximized [6], [8].…”

Section: A Characteristics Of the Smart Gridmentioning

confidence: 99%

“…Despite their interesting approaches, the presence of a controller agent that gathers auction informations is a potential damage source as it can lead to black-out if it fails. Even if the characteristic of self-healing is of lower importance compared to power balancing, this one has been well treated in many works [7], [8]. Firstly proposed in the paper [6], the objective of self-healing can be seen as the maximization of the number of well-served loads.…”

Section: Previous Workmentioning

confidence: 99%

Distribution networks as complex dynamic systems new perspective for monitoring them

Perles

Camilleri

2017

2017 IEEE SmartWorld, Ubiquitous Intelligence &Amp; Computing, Advanced &Amp; Trusted Computed, Scalable Computing &Amp; Commun

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Open Archive Toulouse Archive OuverteOATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible To cite this version: Perles, Alexandre and Camilleri, Guy Distribution networks as complex dynamic systems new perspective for monitoring them.Abstract-In this paper, we set out our arguments for a new approach to control electrical distribution networks making them more robust and flexible and giving them the ability to adapt themselves to the evolution of the way we consume and produce electricity.In the first part of the paper, the current state of the distribution network is presented as well as the motivations to move from classical control strategies to innovative ones. Then, the concept of Smart Grid and the associated challenges are presented. Finally, the Adaptive Multi-Agent System approach is exposed as well as the benefits it can have for the Smart Grid.

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“…Insights on the capabilities of agents in real world electricity markets are provided in [5] where argumentation that multi-agent technology fits better the smart grid problem domain when compared to discrete event simulation and distributed artificial intelligence models is presented. There are various applications of the MAS in the context of power systems [6][7] such as electricity markets, reconfiguration and restoration, condition monitoring and maintenance, management of distributed energy resources (DERs) and automation of microgrid, decision support to power system, protection management and fault diagnosis and grid security .etc. demand side management.…”

Section: Introductionmentioning

confidence: 99%

Demand side management in smart grid by multi-agent systems technology

Et-Tolba

Maâroufi

Ouassaid

2014

2014 International Conference on Multimedia Computing and Systems (ICMCS)

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In this paper, we present a new approach for demand side management in Smart Grid. The Multi Agent Systems (MAS) Technology is actually the most suitable to face its emerging challenges, such as complex management and control, self-healing with necessity of collaboration and communication to solve a local or global problem, and many other problematic aspects. Nowadays, there is no complete environment to simulate MAS. The Agent Oriented Programming is based on multithreading, while the simulation tools don't allow it or causes their instability. Our solution consists on combining these technologies to take benefit from their advantages and strength with available features and characteristics to model and simulate smart grid as a MAS. That leads to demand side management optimization and meets the smart grid objectives and requirements.

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A multi-agent based power system restoration approach in distributed smart grid

Cited by 23 publications

References 18 publications

A Roadmap Toward the Resilient Internet of Things for Cyber-Physical Systems

A Roadmap Toward the Resilient Internet of Things for Cyber-Physical Systems

Distribution networks as complex dynamic systems new perspective for monitoring them

Demand side management in smart grid by multi-agent systems technology

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