This work proposes a model of an intelligent short term demand side management system (DSM) based on a distributed measurement and management data system. The system is designed to avoid peaks of power request greater than a given threshold and to give maximum comfort to user. The DSM problem is modeled as a multi objectives scheduling problem and it is solved using a metaheuristic approach based on a multi agent system. The proposed system is composed of a distributed network of processing nodes (PN). Each PN hosts one agent and it is able to manage a single node of a distribution network allowing or disallowing it to supply power. Each agent reacts to a new critical condition entering in competition with the others to gain the access at a shared limited resource. As the results shown the proposed system can be the consumer's key to take advantage of a DSM program automatically.
|Titolo:||A smart distributed measurement data management system for DSM|
|Autori interni:||PIURI, VINCENZO (Ultimo)|
|Parole Chiave:||Demand side management ; Distributed processing ; Distribution networks ; Multi-agent systems ; Power engineering computing ; Power system measurement.|
|Settore Scientifico Disciplinare:||Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni|
|Data di pubblicazione:||mag-2007|
|Digital Object Identifier (DOI):||10.1109/IMTC.2007.379380|
|Tipologia:||Book Part (author)|
|Appare nelle tipologie:||03 - Contributo in volume|
File in questo prodotto:
- PubMed Central loading...