Abstract
The smart grid revolution demands a huge effort in redesigning and enhancing current power networks, as well as integrating emerging scenarios such as distributed generation, renewable energies or the electric vehicle. This novel situation will cause a huge flood of data that can only be handled, processed and exploited in real-time with the help of cutting-edge ICT (Information and Communication Technologies). We present here a new architecture that, contrary to the previous centralised and static model, distributes the intelligence all over the grid by means of individual intelligent nodes controlling a number of electric assets. The nodes own a profile of the standard smart grid ontology stored in the knowledge base with the inferred information about their environment in RDF triples. Since the system does not have a central registry or a service directory, the connectivity emerges from the view of the world semantically encoded by each individual intelligent node (i.e., profile + inferred information). We have described a use-case both with and without real-time requirements to illustrate and validate this novel approach.
Highlights
A hundred years from their initial development, deployment and spreading, power networks must face nowadays a new revolution
Ramchurn et al [28] present an approach based on an FIPA-compliant multi-agent system to reduce household energy bills, but their focus is smaller than ours since we address the whole smart grid scenarios
PGDINS are spread in the network following two principles that assure that every single intelligent node is autonomous enough to manage all the assets under its concern
Summary
A hundred years from their initial development, deployment and spreading, power networks must face nowadays a new revolution. We combine the multi-agent paradigm with semantic technologies to enable agents discovering logically or physically connected peers to collaborate with them, achieving in this way an effective intelligence distribution Both the logical infrastructure to enable real-time management of the grid and the distribution of intelligence, operations and, management, are the crucial requirements for the successful transition from current power networks into smart grids. We illustrate these contributions with a use-case that describes how this collaboration takes place in a real-time scenario and in a non-real-time one.
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