Login for students

Login for employees

Publication detail

Distributed Multi Agent Control System for Efficient Heat Generation in District Heating Networks
Authors: Mariška Martin | Doležel Petr | Liguš Ján
Year: 2015
Type of publication: článek ve sborníku
Name of source: Mendel 2015: 21st International Conference on Soft Computing
Publisher name: Vysoké učení technické v Brně
Place: Brno
Page from-to: 105-108
Titles:
Language Name Abstract Keywords
cze Distribuované multiagentní systémy pro efektivní výrobu tepla V článku je představena architektura multiagentních systémů, která slouží pro efektivní aktivaci jednotlivých zdrojů tepla v teplárenské síti.
eng Distributed Multi Agent Control System for Efficient Heat Generation in District Heating Networks This article presents the architecture of multi agent distributed control system for efficient heat generation in district heating. Heat networks can contain more than one heating plant in order to minimize system operating costs and also to provide better pollution control. The main problem is then need to control one or more heating stations that can use different fuels with different operating cost, different power with special configuration requirements. The main aim of the whole district heat system is to provide the total amount of heat. The presented multi agent distributed control system is designed to optimize the heating plant configuration and operative strategies to minimize chosen operating costs and to preserve stable heat output at the same time. The control system realized by multi agent approach increases the speed of global optimization and system reconfiguration time. It helps to make the system less dependent on human factor and more resilient to human errors. The group of heating plants is fully automated and coordinated on the basis of total heat output requirement and local plant criteria. Further, the presented solution provides the intelligent ad-hoc reconfiguration of the system in the case of exclusion, inclusion or failure of heating plant. Intelligent system control; Multi agent systems; Plant control

Department

Map

en.mapy.cz

Services

Popular Links

© 2023 University of Pardubice, Studentská 95, 532 10 Pardubice 2
Phone: +420 466 036 111, 466 036 112, 466 036 113
Webmaster, RSS
Data box ID: f5vj9hu
Accessibility Statement
CC BY-NC-ND 4.0Creative CommonsAttributionNonCommercialNoDerivatives