Title
Multi-layer agent-based architecture for smart grid reconfiguration
Abstract
Smart grids are an essential tool for efficient management and monitoring of electric power. In this area, distributed programming techniques help to optimize the production and distribution of electrical energy in order to balance supply and demand to ensure better services. In this paper an agent-based distributed architecture for supervision and control of Smart Grids is proposed. The information comes from the equipment installed in the secondary substations of distribution networks of medium and low voltage. It is exchanged through a real-time middleware and processed through a multi-agent system. One of the most important tasks implemented in the multi-agent system focuses on fault detection and automatic network reconfiguration. This process allows minimizing power losses and loading balancing in the distribution network. To accomplish this task Particle Swarm Optimization (PSO) algorithm is applied.
Year
DOI
Venue
2014
10.1109/IECON.2014.7049029
IECON
Keywords
Field
DocType
distributed programming,distribution networks,middleware,multi-agent systems,multilayers,particle swarm optimisation,smart power grids,substations,automatic network reconfiguration,distributed programming techniques,electrical energy,fault detection,loading balancing,multilayer agent-based architecture,particle swarm optimization algorithm,power losses,real-time middleware,secondary substations,smart grid reconfiguration,supply and demand,distribution grid reconfiguration,intelligent agents,ontology,real time,smart grids,reliability,vectors,unified modeling language,generators
Particle swarm optimization,Middleware,Electric power,Smart grid,Unified Modeling Language,Fault detection and isolation,Low voltage,Engineering,Control reconfiguration,Embedded system,Distributed computing
Conference
ISSN
Citations 
PageRank 
1553-572X
0
0.34
References 
Authors
2
8