Stochastic control of energy efficient buildings: A semidefinite programming approach

Xiao Ma, Jin Dong, Seddik M. Djouadi, James J. Nutaro, Teja Kuruganti

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

The key goal in energy efficient buildings is to reduce energy consumption of Heating, Ventilation, and Air-Conditioning (HVAC) systems while maintaining a comfortable temperature and humidity in the building. This paper proposes a novel stochastic control approach for achieving joint performance and power control of HVAC. We employ a constrained Stochastic Linear Quadratic Control (cSLQC) by minimizing a quadratic cost function with a disturbance assumed to be Gaussian. The problem is formulated to minimize the expected cost subject to a linear constraint and a probabilistic constraint. By using cSLQC, the problem is reduced to a semidefinite optimization problem, where the optimal control can be computed efficiently by Semidefinite programming (SDP). Simulation results are provided to demonstrate the effectiveness and power efficiency by utilizing the proposed control approach.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Smart Grid Communications, SmartGridComm 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages780-785
Number of pages6
ISBN (Electronic)9781467382892
DOIs
StatePublished - Mar 17 2016
EventIEEE International Conference on Smart Grid Communications, SmartGridComm 2015 - Miami, United States
Duration: Nov 1 2015Nov 5 2015

Publication series

Name2015 IEEE International Conference on Smart Grid Communications, SmartGridComm 2015

Conference

ConferenceIEEE International Conference on Smart Grid Communications, SmartGridComm 2015
Country/TerritoryUnited States
CityMiami
Period11/1/1511/5/15

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