Fault Location Technique Using Distributed Multi Agent-Systems in Smart Grids

2021 ◽  
pp. 607-613
Author(s):  
Mohamed Azeroual ◽  
Younes Boujoudar ◽  
Tijani Lamhamdi ◽  
Hassan EL Moussaoui ◽  
Hassane EL Markhi
Keyword(s):  
Smart Grids ◽  
Fault Location ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent

Applications of Multi-Agent Systems in Smart Grids: A survey

2014 ◽  
Author(s):  
Ghezlane Halhoul Merabet ◽  
Mohammed Essaaidi ◽  
Hanaa Talei ◽  
Mohamed Riduan Abid ◽  
Nacer Khalil ◽  
...  
Keyword(s):  
Smart Grids ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent

scholarly journals Distributed Schemes, Innovative Solutions for Smart Grids: P2P, Multi-Agent Systems & Blockchain

Proceedings ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 5
Author(s):  
Tatiana Loureiro ◽  
Juan Espeche ◽  
Meritxell Vinyals ◽  
Ugo Stecchi ◽  
Dimitrios Tzovaras ◽  
...  
Keyword(s):  
Smart Grids ◽  
Discussion Forum ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Innovative Solutions ◽  
Multi Agent ◽  
Common Goals ◽  
And Storage

Clustering workshop of low TRL Smart Grids and Storage projects, focused on distributed schemes such as MAS, blockchain, P2P, among others. This workshop was organized by DRIvE project. The objective of the event was to establish common goals and methodologies among the participants, and to have a relevant discussion forum.

scholarly journals Mosaik and PADE: Multiagents and Co-simulation for smart grids modeling

2020 ◽  
Vol 27 (2) ◽  
pp. 107-115
Author(s):  
Lucas Silveira Melo ◽  
Filipe Saraiva ◽  
Ruth Leão ◽  
Raimundo Furtado Sampaio ◽  
Giovanni Cordeiro Barroso
Keyword(s):  
Distributed Generation ◽  
Smart Grids ◽  
Low Voltage ◽  
Electricity Distribution ◽  
Multi Agent Systems ◽  
Distribution Grid ◽  
Distributed Generations ◽  
Agent Systems ◽  
Multi Agent ◽  
Study Case

This paper describes the integration process between two tools in order to perform co-simulation for representation and analysis of dynamic environments in the context of smart grids. The integrated tools are Mosaik, a software to co-simulation management, and PADE, a software to multi-agent systems development. As a study case for demonstrate the integration, a scenary was utilized composed of a low voltage electricity distribution grid with 37 load bus, 20 photo-voltaic distributed generations, randomly connected to load bus, as well as, 20 PADE agents associated to distributed generation, modeling the behavior of electricity storage systems. The simulation results show the integration happening and demonstrate how useful is to model the dynamics of distributed electric resources with multi-agent systems.

scholarly journals A Fast Non-Linear Symmetry Approach for Guaranteed Consensus in Network of Multi-Agent Systems

Symmetry ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 1692
Author(s):  
Rawad Abdulghafor ◽  
Sultan Almotairi
Keyword(s):  
Smart Grids ◽  
Autonomous Agents ◽  
Linear Models ◽  
Low Complexity ◽  
Complex Problem ◽  
Multi Agent Systems ◽  
Quadratic Operator ◽  
Agent Systems ◽  
Non Linear ◽  
Multi Agent

There has been tremendous work on multi-agent systems (MAS) in recent years. MAS consist of multiple autonomous agents that interact with each order to solve a complex problem. Several applications of MAS can be found in computer networks, smart grids, and the modeling of complex systems. Despite numerous benefits, a significant challenge for MAS is achieving a consensus among agents in a shared target task, which is difficult without applying certain mathematical equations. Non-linear models offer better possibility of resolving consensus for MAS; however, existing non-linear models are considerably complicated and present no guarantees for achieving consensus. This paper proposes a non-linear mathematical model of semi symmetry quadratic operator (SSQO) in order to resolve the issue of consensus in networks of MAS. The model is based on stochastic quadratic operator theory, with added new notations. An important feature for the proposed model is low complexity, fast consensus, and a guaranteed capability to reach a consensus. We present an evaluation of the proposed SSQO model and comparison with other existing models. We demonstrate that an average consensus can be achieved with our model in addition to the emulation effects for the MAS consensus.

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