A rule based domestic load profile generator for future smart grid

Weicong Kong; Z. Y. Dong; Guo Chen; Youwei Jia

doi:10.1109/AUPEC.2014.6966579

A rule based domestic load profile generator for future smart grid

Weicong Kong
, Z. Y. Dong
, Guo Chen
, Youwei Jia

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

9 Citations (Scopus)

Abstract

Renewable energy generation will continue to increase in the future. To accommodate high renewable penetrations in power systems, solutions such as demand response, energy storage will be needed. Most of such studies need to combine with the load profile at domestic level, but resources of household load profiles are quite scarce. We propose a rule based domestic load profile generator which allows the users to choose whatever appliance profiles to add to the household. We also simulate a household's power consumption considering typical resident load patterns and schedules. Results from the case study show that the generated profile closely resemble the real domestic profile with similar resident loads. © 2014 ACPE.

Original language	English
Title of host publication	2014 Australasian Universities Power Engineering Conference, AUPEC 2014 - Proceedings
Publisher	IEEE
ISBN (Print)	9780646923758
DOIs	https://doi.org/10.1109/AUPEC.2014.6966579
Publication status	Published - 24 Nov 2014
Externally published	Yes
Event	24th Australasian Universities Power Engineering Conference, AUPEC 2014 - Curtin University, Perth, Australia Duration: 28 Sept 2014 → 1 Oct 2014 http://aupec2014.com.au/

Conference

Conference	24th Australasian Universities Power Engineering Conference, AUPEC 2014
Place	Australia
City	Perth
Period	28/09/14 → 1/10/14
Internet address	http://aupec2014.com.au/

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

UN SDGs

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

SDG 7 Affordable and Clean Energy

Research Keywords

Demand Response
Distributed Generation Planning
Domestic Appliance Modelling
Load Modelling
Renewable Energy Sources

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10.1109/AUPEC.2014.6966579

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Cite this

@inproceedings{8ceeb0b72f20489a847403af40706601,

title = "A rule based domestic load profile generator for future smart grid",

abstract = "Renewable energy generation will continue to increase in the future. To accommodate high renewable penetrations in power systems, solutions such as demand response, energy storage will be needed. Most of such studies need to combine with the load profile at domestic level, but resources of household load profiles are quite scarce. We propose a rule based domestic load profile generator which allows the users to choose whatever appliance profiles to add to the household. We also simulate a household's power consumption considering typical resident load patterns and schedules. Results from the case study show that the generated profile closely resemble the real domestic profile with similar resident loads. {\textcopyright} 2014 ACPE.",

keywords = "Demand Response, Distributed Generation Planning, Domestic Appliance Modelling, Load Modelling, Renewable Energy Sources",

author = "Weicong Kong and Dong, \{Z. Y.\} and Guo Chen and Youwei Jia",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].; 24th Australasian Universities Power Engineering Conference, AUPEC 2014 ; Conference date: 28-09-2014 Through 01-10-2014",

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doi = "10.1109/AUPEC.2014.6966579",

language = "English",

isbn = "9780646923758",

booktitle = "2014 Australasian Universities Power Engineering Conference, AUPEC 2014 - Proceedings",

publisher = "IEEE",

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}

A rule based domestic load profile generator for future smart grid. / Kong, Weicong; Dong, Z. Y.; Chen, Guo et al.
2014 Australasian Universities Power Engineering Conference, AUPEC 2014 - Proceedings. IEEE, 2014. 6966579.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - A rule based domestic load profile generator for future smart grid

AU - Kong, Weicong

AU - Dong, Z. Y.

AU - Chen, Guo

AU - Jia, Youwei

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2014/11/24

Y1 - 2014/11/24

N2 - Renewable energy generation will continue to increase in the future. To accommodate high renewable penetrations in power systems, solutions such as demand response, energy storage will be needed. Most of such studies need to combine with the load profile at domestic level, but resources of household load profiles are quite scarce. We propose a rule based domestic load profile generator which allows the users to choose whatever appliance profiles to add to the household. We also simulate a household's power consumption considering typical resident load patterns and schedules. Results from the case study show that the generated profile closely resemble the real domestic profile with similar resident loads. © 2014 ACPE.

AB - Renewable energy generation will continue to increase in the future. To accommodate high renewable penetrations in power systems, solutions such as demand response, energy storage will be needed. Most of such studies need to combine with the load profile at domestic level, but resources of household load profiles are quite scarce. We propose a rule based domestic load profile generator which allows the users to choose whatever appliance profiles to add to the household. We also simulate a household's power consumption considering typical resident load patterns and schedules. Results from the case study show that the generated profile closely resemble the real domestic profile with similar resident loads. © 2014 ACPE.

KW - Demand Response

KW - Distributed Generation Planning

KW - Domestic Appliance Modelling

KW - Load Modelling

KW - Renewable Energy Sources

UR - https://www.scopus.com/pages/publications/84929376585

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84929376585&origin=recordpage

U2 - 10.1109/AUPEC.2014.6966579

DO - 10.1109/AUPEC.2014.6966579

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9780646923758

BT - 2014 Australasian Universities Power Engineering Conference, AUPEC 2014 - Proceedings

PB - IEEE

T2 - 24th Australasian Universities Power Engineering Conference, AUPEC 2014

Y2 - 28 September 2014 through 1 October 2014

ER -

A rule based domestic load profile generator for future smart grid

Abstract

Conference

Bibliographical note

UN SDGs

Research Keywords

Access Output

Other Access Options

Permanent Link

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Cite this