Residential load scheduling optimization for demand-side management under time-of-use rate

A. Can Duman; Önder Güler; Kaan Deveci; Ömer Gönül

doi:10.1109/SGCF.2018.8408971

Residential load scheduling optimization for demand-side management under time-of-use rate

A. Can Duman, Önder Güler, Kaan Deveci, Ömer Gönül

Energy Institute

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

18 Citations (SciVal)

Abstract

In this study, a load scheduling optimization in terms of demand response (DR) is performed to reduce total electricity bills of residential households without exceeding the maximum peak power limit set by the entity. A mixed integer linear programming (MILP) based model is applied to schedule shiftable loads to off-peak hours under time-of-use (TOU) rate. It is also aimed to manage electric vehicle loads to overcome problems that could be possibly arise from high penetration of the electric vehicles to the grid in a near future. Results showed that, the proposed method allows end-users to reduce their total electricity cost by managing their shiftable loads while significantly contributing to the reduction in peak-to-average ratio (PAR) of the household's load demand.

Original language	English
Title of host publication	Proceedings - 2018 6th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2018
Editors	Ali Yilmaz Camurcu, Aydin Cetin
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	193-196
Number of pages	4
ISBN (Electronic)	9781538644782
DOIs	https://doi.org/10.1109/SGCF.2018.8408971
Publication status	Published - 9 Jul 2018
Event	6th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2018 - Istanbul, Turkey Duration: 25 Apr 2018 → 26 Apr 2018

Publication series

Name	Proceedings - 2018 6th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2018

Conference

Conference	6th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2018
Country/Territory	Turkey
City	Istanbul
Period	25/04/18 → 26/04/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Demand-side management
demand response
load scheduling
mixed integer linear programming
smart grids

Access to Document

10.1109/SGCF.2018.8408971

Cite this

Duman, A. C., Güler, Ö., Deveci, K., & Gönül, Ö. (2018). Residential load scheduling optimization for demand-side management under time-of-use rate. In A. Y. Camurcu, & A. Cetin (Eds.), Proceedings - 2018 6th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2018 (pp. 193-196). (Proceedings - 2018 6th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SGCF.2018.8408971

Duman, A. Can ; Güler, Önder ; Deveci, Kaan et al. / Residential load scheduling optimization for demand-side management under time-of-use rate. Proceedings - 2018 6th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2018. editor / Ali Yilmaz Camurcu ; Aydin Cetin. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 193-196 (Proceedings - 2018 6th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2018).

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title = "Residential load scheduling optimization for demand-side management under time-of-use rate",

abstract = "In this study, a load scheduling optimization in terms of demand response (DR) is performed to reduce total electricity bills of residential households without exceeding the maximum peak power limit set by the entity. A mixed integer linear programming (MILP) based model is applied to schedule shiftable loads to off-peak hours under time-of-use (TOU) rate. It is also aimed to manage electric vehicle loads to overcome problems that could be possibly arise from high penetration of the electric vehicles to the grid in a near future. Results showed that, the proposed method allows end-users to reduce their total electricity cost by managing their shiftable loads while significantly contributing to the reduction in peak-to-average ratio (PAR) of the household's load demand.",

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author = "Duman, {A. Can} and {\"O}nder G{\"u}ler and Kaan Deveci and {\"O}mer G{\"o}n{\"u}l",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 6th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2018 ; Conference date: 25-04-2018 Through 26-04-2018",

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Duman, AC, Güler, Ö , Deveci, K & Gönül, Ö 2018, Residential load scheduling optimization for demand-side management under time-of-use rate. in AY Camurcu & A Cetin (eds), Proceedings - 2018 6th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2018. Proceedings - 2018 6th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2018, Institute of Electrical and Electronics Engineers Inc., pp. 193-196, 6th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2018, Istanbul, Turkey, 25/04/18. https://doi.org/10.1109/SGCF.2018.8408971

Residential load scheduling optimization for demand-side management under time-of-use rate. / Duman, A. Can; Güler, Önder ; Deveci, Kaan et al.
Proceedings - 2018 6th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2018. ed. / Ali Yilmaz Camurcu; Aydin Cetin. Institute of Electrical and Electronics Engineers Inc., 2018. p. 193-196 (Proceedings - 2018 6th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Duman, A. Can

AU - Güler, Önder

AU - Deveci, Kaan

AU - Gönül, Ömer

PY - 2018/7/9

Y1 - 2018/7/9

N2 - In this study, a load scheduling optimization in terms of demand response (DR) is performed to reduce total electricity bills of residential households without exceeding the maximum peak power limit set by the entity. A mixed integer linear programming (MILP) based model is applied to schedule shiftable loads to off-peak hours under time-of-use (TOU) rate. It is also aimed to manage electric vehicle loads to overcome problems that could be possibly arise from high penetration of the electric vehicles to the grid in a near future. Results showed that, the proposed method allows end-users to reduce their total electricity cost by managing their shiftable loads while significantly contributing to the reduction in peak-to-average ratio (PAR) of the household's load demand.

AB - In this study, a load scheduling optimization in terms of demand response (DR) is performed to reduce total electricity bills of residential households without exceeding the maximum peak power limit set by the entity. A mixed integer linear programming (MILP) based model is applied to schedule shiftable loads to off-peak hours under time-of-use (TOU) rate. It is also aimed to manage electric vehicle loads to overcome problems that could be possibly arise from high penetration of the electric vehicles to the grid in a near future. Results showed that, the proposed method allows end-users to reduce their total electricity cost by managing their shiftable loads while significantly contributing to the reduction in peak-to-average ratio (PAR) of the household's load demand.

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Duman AC, Güler Ö , Deveci K , Gönül Ö. Residential load scheduling optimization for demand-side management under time-of-use rate. In Camurcu AY, Cetin A, editors, Proceedings - 2018 6th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 193-196. (Proceedings - 2018 6th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2018). doi: 10.1109/SGCF.2018.8408971

Residential load scheduling optimization for demand-side management under time-of-use rate

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Bibliographical note

Keywords

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