A Smart Distributed Measurement Data Management System for DSM

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