Energy Management of Smart Home by Model Predictive Control Based on EV State Prediction

Yuuki Ogata, Toru Namerikawa

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

2 Citations (Scopus)

Abstract

The purpose of this paper is to minimize the total electricity cost while considering comfort in the home. We propose home energy management (HEMS) method by model predictive control (MPC) based on EV state prediction. If charging and discharging can be planned based on electric vehicle (EV) usage prediction, it can minimize the charging with an external charging station because it can be charged in advance at home. We introduce a model considering the passage of time in order to predict the use of EV. Finally, we confirm the validity of this research through numerical simulations.

Original languageEnglish
Title of host publication2019 12th Asian Control Conference, ASCC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages410-415
Number of pages6
ISBN (Electronic)9784888983006
Publication statusPublished - 2019 Jun
Event12th Asian Control Conference, ASCC 2019 - Kitakyushu-shi, Japan
Duration: 2019 Jun 92019 Jun 12

Publication series

Name2019 12th Asian Control Conference, ASCC 2019

Conference

Conference12th Asian Control Conference, ASCC 2019
CountryJapan
CityKitakyushu-shi
Period19/6/919/6/12

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Optimization
  • Mechanical Engineering

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  • Cite this

    Ogata, Y., & Namerikawa, T. (2019). Energy Management of Smart Home by Model Predictive Control Based on EV State Prediction. In 2019 12th Asian Control Conference, ASCC 2019 (pp. 410-415). [8764936] (2019 12th Asian Control Conference, ASCC 2019). Institute of Electrical and Electronics Engineers Inc..