An event-driven energy management system for planned control of thermostatic loads

Mustafa Alparslan Zehir; Alp Batman; Mustafa Bagriyanik

doi:10.1109/PTC.2013.6652109

An event-driven energy management system for planned control of thermostatic loads

Mustafa Alparslan Zehir
, Alp Batman
, Mustafa Bagriyanik

Department of Electrical Engineering

Istanbul Technical University

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

7 Citations (Scopus)

Abstract

Thermostatically controlled loads, which represent the major portion of consumptions, have considerable shifting potential for Demand Response (DR) applications. In this study an event-driven intelligent control system for rescheduling thermostatic loads is worked on. In addition to the discussion of areas of use for the proposed system, a number of terms that can be used in decision making processes are defined. The performance of the proposed system for working with refrigerators according to the power output of a local photovoltaic system is simulated by the use of field data. The results are discussed from both grid-side and customer-side perspectives.

Original language	English
Title of host publication	2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013
DOIs	https://doi.org/10.1109/PTC.2013.6652109
Publication status	Published - 2013
Event	2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013 - Grenoble, France Duration: 16 Jun 2013 → 20 Jun 2013

Publication series

Name	2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013

Conference

Conference	2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013
Country/Territory	France
City	Grenoble
Period	16/06/13 → 20/06/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Decision making
Load management
Smart grids
Thermostats

Access to Document

10.1109/PTC.2013.6652109

Cite this

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title = "An event-driven energy management system for planned control of thermostatic loads",

abstract = "Thermostatically controlled loads, which represent the major portion of consumptions, have considerable shifting potential for Demand Response (DR) applications. In this study an event-driven intelligent control system for rescheduling thermostatic loads is worked on. In addition to the discussion of areas of use for the proposed system, a number of terms that can be used in decision making processes are defined. The performance of the proposed system for working with refrigerators according to the power output of a local photovoltaic system is simulated by the use of field data. The results are discussed from both grid-side and customer-side perspectives.",

keywords = "Decision making, Load management, Smart grids, Thermostats",

author = "Zehir, \{Mustafa Alparslan\} and Alp Batman and Mustafa Bagriyanik",

year = "2013",

doi = "10.1109/PTC.2013.6652109",

language = "English",

isbn = "9781467356695",

series = "2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013",

booktitle = "2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013",

note = "2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013 ; Conference date: 16-06-2013 Through 20-06-2013",

}

Zehir, MA, Batman, A & Bagriyanik, M 2013, An event-driven energy management system for planned control of thermostatic loads. in 2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013., 6652109, 2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013, 2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013, Grenoble, France, 16/06/13. https://doi.org/10.1109/PTC.2013.6652109

An event-driven energy management system for planned control of thermostatic loads. / Zehir, Mustafa Alparslan; Batman, Alp; Bagriyanik, Mustafa.
2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013. 2013. 6652109 (2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013).

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

TY - GEN

T1 - An event-driven energy management system for planned control of thermostatic loads

AU - Zehir, Mustafa Alparslan

AU - Batman, Alp

AU - Bagriyanik, Mustafa

PY - 2013

Y1 - 2013

N2 - Thermostatically controlled loads, which represent the major portion of consumptions, have considerable shifting potential for Demand Response (DR) applications. In this study an event-driven intelligent control system for rescheduling thermostatic loads is worked on. In addition to the discussion of areas of use for the proposed system, a number of terms that can be used in decision making processes are defined. The performance of the proposed system for working with refrigerators according to the power output of a local photovoltaic system is simulated by the use of field data. The results are discussed from both grid-side and customer-side perspectives.

AB - Thermostatically controlled loads, which represent the major portion of consumptions, have considerable shifting potential for Demand Response (DR) applications. In this study an event-driven intelligent control system for rescheduling thermostatic loads is worked on. In addition to the discussion of areas of use for the proposed system, a number of terms that can be used in decision making processes are defined. The performance of the proposed system for working with refrigerators according to the power output of a local photovoltaic system is simulated by the use of field data. The results are discussed from both grid-side and customer-side perspectives.

KW - Decision making

KW - Load management

KW - Smart grids

KW - Thermostats

UR - https://www.scopus.com/pages/publications/84890877379

U2 - 10.1109/PTC.2013.6652109

DO - 10.1109/PTC.2013.6652109

M3 - Conference contribution

AN - SCOPUS:84890877379

SN - 9781467356695

T3 - 2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013

BT - 2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013

T2 - 2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013

Y2 - 16 June 2013 through 20 June 2013

ER -

An event-driven energy management system for planned control of thermostatic loads

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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