Design and Implementation of a Smart Meter with Demand Response Capabilities

Luis I. Minchala-Avila; Jairo Armijos; Daniel Pesántez; Youmin Zhang

doi:10.1016/j.egypro.2016.11.272

Design and Implementation of a Smart Meter with Demand Response Capabilities

Luis I. Minchala-Avila
, Jairo Armijos
, Daniel Pesántez
, Youmin Zhang

Research output: Contribution to journal › Conference article › peer-review

40 Scopus citations

Abstract

This paper presents the design of a smart meter (SM) with demand response (DR) capabilities. The SM design is tested in a simulation that implements an advanced measurement infrastructure (AMI), which allows a bidirectional communication between the household smart meters and the distribution management system (DMS). The DMS deploys an energy management system (EMS) that runs a simple demand response program (DRP) based on time of use (TOU), consisting in peak and off-peak rates. Results from the simulation and the data collected from the SM show significant improvements in energy consumption during peak hours thanks to the load curtailment strategies.

Original language	English
Pages (from-to)	195-200
Number of pages	6
Journal	Energy Procedia
Volume	103
DOIs	https://doi.org/10.1016/j.egypro.2016.11.272
State	Published - 1 Dec 2016
Event	Applied Energy Symposium and Submit: Renewable Energy Integration with Mini/Microgrid, REM 2016 - Maldives, Maldives Duration: 19 Apr 2016 → 21 Apr 2016

Keywords

demand response
fuzzy control
smart meters

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10.1016/j.egypro.2016.11.272

Cite this

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title = "Design and Implementation of a Smart Meter with Demand Response Capabilities",

abstract = "This paper presents the design of a smart meter (SM) with demand response (DR) capabilities. The SM design is tested in a simulation that implements an advanced measurement infrastructure (AMI), which allows a bidirectional communication between the household smart meters and the distribution management system (DMS). The DMS deploys an energy management system (EMS) that runs a simple demand response program (DRP) based on time of use (TOU), consisting in peak and off-peak rates. Results from the simulation and the data collected from the SM show significant improvements in energy consumption during peak hours thanks to the load curtailment strategies.",

keywords = "demand response, fuzzy control, smart meters",

author = "Minchala-Avila, \{Luis I.\} and Jairo Armijos and Daniel Pes{\'a}ntez and Youmin Zhang",

note = "Publisher Copyright: {\textcopyright} 2016 The Authors.; Applied Energy Symposium and Submit: Renewable Energy Integration with Mini/Microgrid, REM 2016 ; Conference date: 19-04-2016 Through 21-04-2016",

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T1 - Design and Implementation of a Smart Meter with Demand Response Capabilities

AU - Minchala-Avila, Luis I.

AU - Armijos, Jairo

AU - Pesántez, Daniel

AU - Zhang, Youmin

PY - 2016/12/1

Y1 - 2016/12/1

N2 - This paper presents the design of a smart meter (SM) with demand response (DR) capabilities. The SM design is tested in a simulation that implements an advanced measurement infrastructure (AMI), which allows a bidirectional communication between the household smart meters and the distribution management system (DMS). The DMS deploys an energy management system (EMS) that runs a simple demand response program (DRP) based on time of use (TOU), consisting in peak and off-peak rates. Results from the simulation and the data collected from the SM show significant improvements in energy consumption during peak hours thanks to the load curtailment strategies.

AB - This paper presents the design of a smart meter (SM) with demand response (DR) capabilities. The SM design is tested in a simulation that implements an advanced measurement infrastructure (AMI), which allows a bidirectional communication between the household smart meters and the distribution management system (DMS). The DMS deploys an energy management system (EMS) that runs a simple demand response program (DRP) based on time of use (TOU), consisting in peak and off-peak rates. Results from the simulation and the data collected from the SM show significant improvements in energy consumption during peak hours thanks to the load curtailment strategies.

KW - demand response

KW - fuzzy control

KW - smart meters

UR - https://www.scopus.com/pages/publications/85010908828

U2 - 10.1016/j.egypro.2016.11.272

DO - 10.1016/j.egypro.2016.11.272

M3 - Artículo de la conferencia

AN - SCOPUS:85010908828

SN - 1876-6102

VL - 103

SP - 195

EP - 200

JO - Energy Procedia

JF - Energy Procedia

T2 - Applied Energy Symposium and Submit: Renewable Energy Integration with Mini/Microgrid, REM 2016

Y2 - 19 April 2016 through 21 April 2016

ER -

Design and Implementation of a Smart Meter with Demand Response Capabilities

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Keywords

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