Hybrid model predictive control for optimal energy management of a smart house

Albina Khakimova, Akmaral Shamshimova, Dana Sharipova, Aliya Kusatayeva, Viktor Ten, Alberto Bemporad, Yakov Familiant, Almas Shintemirov, Matteo Rubagotti

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

9 Citations (Scopus)

Abstract

This paper describes the modeling and control of heat and electricity flows in a smart house equipped with a solar heating system, PV panels, and lead-acid batteries for energy storage. The goal is to minimize electricity costs, making best use of renewable sources of heat and electricity. The system model is obtained via system identification from experimental data as a discrete-time hybrid system to capture the main thermal and electrical dynamics, the on-off activation of pumps, heating coil, the connection to the grid, and various operating constraints, including logic constraints and limits on system variables. Based on the obtained model, we derive a hybrid model predictive control (MPC) strategy. The controller is able to track the desired temperature and minimize costs for consuming electricity from the grid, while respecting all the prescribed constraints. Simulation results testify the effectiveness and feasibility of the approach.

Original languageEnglish
Title of host publication2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages513-518
Number of pages6
ISBN (Electronic)9781479979936
DOIs
Publication statusPublished - Jul 22 2015
Event15th IEEE International Conference on Environment and Electrical Engineering, EEEIC 2015 - Rome, Italy
Duration: Jun 10 2015Jun 13 2015

Publication series

Name2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedings

Other

Other15th IEEE International Conference on Environment and Electrical Engineering, EEEIC 2015
CountryItaly
CityRome
Period6/10/156/13/15

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology

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