Stochastic receding horizon control minimizing mean-variance with demand forecasting for home EMSs

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

As demand-side energy management system (EMS) has not only a function to maximize owner's utility by automatic control but also a potential capability to respond a demand activation, demand-side EMS is expected to fulfill the key role for intelligent control of community energy management. To achieve the stable control result of EMS against the uncertain environment, it needs approach from both forecast and operation sides. The objective of this study is to construct a control scheme for a home EMS from a practicable implementation perspective and to evaluate the control performance of the scheme proposed. The scheme is composed of operational planning with receding horizon and energy demand forecasting. The goal of the scheme is to maximize householder's utility only by retrofitting the home EMS to a residential household. Throughout numerical results, it is revealed that the better control performance comes from the conservative operational strategy derived from the multiple scenarios.

Original languageEnglish
Pages (from-to)1632-1639
Number of pages8
JournalEnergy and Buildings
Volume158
DOIs
Publication statusPublished - 2018 Jan 1

Fingerprint

Energy management systems
Retrofitting
Intelligent control
Energy management
Chemical activation
Planning

Keywords

  • Energy management system
  • Fuel cell
  • JIT modeling
  • Mean-variance model
  • Stochastic receding horizon control

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Mechanical Engineering
  • Electrical and Electronic Engineering

Cite this

@article{c0b4518ce2bc4154984cfc14b79059b8,
title = "Stochastic receding horizon control minimizing mean-variance with demand forecasting for home EMSs",
abstract = "As demand-side energy management system (EMS) has not only a function to maximize owner's utility by automatic control but also a potential capability to respond a demand activation, demand-side EMS is expected to fulfill the key role for intelligent control of community energy management. To achieve the stable control result of EMS against the uncertain environment, it needs approach from both forecast and operation sides. The objective of this study is to construct a control scheme for a home EMS from a practicable implementation perspective and to evaluate the control performance of the scheme proposed. The scheme is composed of operational planning with receding horizon and energy demand forecasting. The goal of the scheme is to maximize householder's utility only by retrofitting the home EMS to a residential household. Throughout numerical results, it is revealed that the better control performance comes from the conservative operational strategy derived from the multiple scenarios.",
keywords = "Energy management system, Fuel cell, JIT modeling, Mean-variance model, Stochastic receding horizon control",
author = "Akira Yoshida and Jun Yoshikawa and Yu Fujimoto and Yoshiharu Amano and Yasuhiro Hayashi",
year = "2018",
month = "1",
day = "1",
doi = "10.1016/j.enbuild.2017.11.064",
language = "English",
volume = "158",
pages = "1632--1639",
journal = "Energy and Buildings",
issn = "0378-7788",
publisher = "Elsevier BV",

}

TY - JOUR

T1 - Stochastic receding horizon control minimizing mean-variance with demand forecasting for home EMSs

AU - Yoshida, Akira

AU - Yoshikawa, Jun

AU - Fujimoto, Yu

AU - Amano, Yoshiharu

AU - Hayashi, Yasuhiro

PY - 2018/1/1

Y1 - 2018/1/1

N2 - As demand-side energy management system (EMS) has not only a function to maximize owner's utility by automatic control but also a potential capability to respond a demand activation, demand-side EMS is expected to fulfill the key role for intelligent control of community energy management. To achieve the stable control result of EMS against the uncertain environment, it needs approach from both forecast and operation sides. The objective of this study is to construct a control scheme for a home EMS from a practicable implementation perspective and to evaluate the control performance of the scheme proposed. The scheme is composed of operational planning with receding horizon and energy demand forecasting. The goal of the scheme is to maximize householder's utility only by retrofitting the home EMS to a residential household. Throughout numerical results, it is revealed that the better control performance comes from the conservative operational strategy derived from the multiple scenarios.

AB - As demand-side energy management system (EMS) has not only a function to maximize owner's utility by automatic control but also a potential capability to respond a demand activation, demand-side EMS is expected to fulfill the key role for intelligent control of community energy management. To achieve the stable control result of EMS against the uncertain environment, it needs approach from both forecast and operation sides. The objective of this study is to construct a control scheme for a home EMS from a practicable implementation perspective and to evaluate the control performance of the scheme proposed. The scheme is composed of operational planning with receding horizon and energy demand forecasting. The goal of the scheme is to maximize householder's utility only by retrofitting the home EMS to a residential household. Throughout numerical results, it is revealed that the better control performance comes from the conservative operational strategy derived from the multiple scenarios.

KW - Energy management system

KW - Fuel cell

KW - JIT modeling

KW - Mean-variance model

KW - Stochastic receding horizon control

UR - http://www.scopus.com/inward/record.url?scp=85036627276&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85036627276&partnerID=8YFLogxK

U2 - 10.1016/j.enbuild.2017.11.064

DO - 10.1016/j.enbuild.2017.11.064

M3 - Article

VL - 158

SP - 1632

EP - 1639

JO - Energy and Buildings

JF - Energy and Buildings

SN - 0378-7788

ER -