Distributed MPC for Thermal House Comfort with Shifting Loads and Limited Energy Resources

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper presents a distributed predictive control methodology for indoor thermal comfort that optimizes the consumption of a limited shared energy resource using a demand-side management approach that involves a power price auction and shifting appliance loads. The control objective of each subsystem is to minimize the energy cost while maintaining the indoor temperature in range. In a distributed coordinated environment, the control uses multiple dynamically decoupled agents (one for each subsystem/house) aiming to achieve satisfaction of available energy coupling constraints. The system is simulated with several houses in a distributed environment.
Original languageUnknown
Title of host publicationConference on Renewable Energy Research and Applications
Pages584-589
Publication statusPublished - 1 Jan 2013
Event2nd International Conference on Renewable Energy Research and Applications -
Duration: 1 Jan 2013 → …

Conference

Conference2nd International Conference on Renewable Energy Research and Applications
Period1/01/13 → …

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