Distributed model predictive control for thermal house comfort with auction of available energy

Rui Neves-silva, DEE Group Author

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

8 Citations (Scopus)

Abstract

This paper presents a distributed model predictive control (DMPC) for indoor thermal comfort that simultaneously optimizes the consumption of a limited shared energy resource. The control objective of each subsystem is to minimize the heating/cooling energy cost while maintaining the indoor temperature and used power inside bounds. In a distributed coordinated environment, the control uses multiple dynamically decoupled agents (one for each subsystem/house) aiming to achieve satisfaction of coupling constraints. The limited energy resource is shared by a fixed order established from a previously done auction wherein the bids are made by each agent based on the energy price that they are willing to pay each day. The developed system is applied and simulated with three houses.
Original languageUnknown
Title of host publicationProceedings of the IEEE International Conference On Smart Grid Technology, Economics And Policies (SG-TEP 2012)
Pages1-4
Publication statusPublished - 1 Jan 2012
EventIEEE International Conference On Smart Grid Technology, Economics And Policies (SG-TEP 2012) -
Duration: 1 Jan 2012 → …

Conference

ConferenceIEEE International Conference On Smart Grid Technology, Economics And Policies (SG-TEP 2012)
Period1/01/12 → …

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