Conference Paper

An Intelligent System for Decentralized Load Management

DIASS, Politecnico di Bari
DOI: 10.1109/CIMSA.2006.250752 Conference: Computational Intelligence for Measurement Systems and Applications, Proceedings of 2006 IEEE International Conference on
Source: IEEE Xplore

ABSTRACT This work proposes a model of an intelligent short term demand side management system based on a MAS. The system is designed to avoid peaks of power request greater than a given threshold and to give maximum comfort to user. 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 socket tap 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 agency can be the consumer's key to take advantage of a DSM program automatically

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    ABSTRACT: Artificial intelligence has devised solutions for a wide class of scheduling problems that can be applied also to power management and in general to building-automation. This paper presents one of these methods, based on the multi agent system (MAS) paradigm for a demand-side management system.
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    ABSTRACT: 1 Abstract—A novel intelligent demand side management system is proposed for peak load management in LV residential distribution networks in the presence of plug-in electric vehicles. This method uses low cost controllers with low bandwidth twoway communication, installed in the householders’ premises and distribution transformers, to manage the peak load while maximizing customer comfort. A multi-objective decision making process is proposed to select the load(s) to be delayed or controlled. The efficacy of the proposed control system in reducing peak load while satisfying customer load objectives is system is proposed for residential low voltage (LV) distribution networks. The main objective of the proposed method is to prevent overloading of distribution transformers at peak load periods. This method works based on instantaneous load levels and requires installation of smart controllers with communications capability. A Multi Objective Decision Making (MODM) process is used within the system to prioritize the loads to be disconnected. This decision is based on several criteria, each with different weightings. In section II, a brief description of modeling of different residential type loads is given along with the analysis methodology. In section III, the proposed control method is described along with the required hardware and control algorithm. The final section presents some simulation results of the network with and without the proposed method. The effectiveness of the proposed method in controlling the peak demand while maintaining customer satisfaction can be seen from the results.