Day-Ahead Scheduling Considering Demand Response as a Frequency Control Resource

The development of advanced metering technologies makes demand response (DR) able to provide fast response services, e.g., primary frequency control. It is recognized that DR can contribute to the primary frequency control like thermal generators. This paper proposes a day-ahead scheduling method th...

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Main Authors: Yu-Qing Bao, Yang Li, Beibei Wang, Minqiang Hu, Yanmin Zhou
Format: Article
Language:English
Published: MDPI AG 2017-01-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/10/1/82
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spelling doaj-060cbd222f8244269b241dbe0ddfdbc62020-11-25T00:00:35ZengMDPI AGEnergies1996-10732017-01-011018210.3390/en10010082en10010082Day-Ahead Scheduling Considering Demand Response as a Frequency Control ResourceYu-Qing Bao0Yang Li1Beibei Wang2Minqiang Hu3Yanmin Zhou4School of Electrical & Automation Engineering, Nanjing Normal University, Nanjing 210042, ChinaSchool of Electrical Engineering, Southeast University, Nanjing 210096, ChinaSchool of Electrical Engineering, Southeast University, Nanjing 210096, ChinaSchool of Electrical & Automation Engineering, Nanjing Normal University, Nanjing 210042, ChinaSchool of Electrical & Automation Engineering, Nanjing Normal University, Nanjing 210042, ChinaThe development of advanced metering technologies makes demand response (DR) able to provide fast response services, e.g., primary frequency control. It is recognized that DR can contribute to the primary frequency control like thermal generators. This paper proposes a day-ahead scheduling method that considers DR as a frequency control resource, so that the DR resources can be dispatched properly with other resources. In the proposed method, the objective of frequency control is realized by defining a frequency limit equation under a supposed contingency. The frequency response model is used to model the dynamics of system frequency. The nonlinear frequency limit equation is transformed to a linear arithmetic equation by piecewise linearization, so that the problem can be solved by mixed integer linear programming (MILP). Finally, the proposed method is verified on numerical examples.http://www.mdpi.com/1996-1073/10/1/82demand response (DR)day-ahead schedulingfrequency controlunit commitment
collection DOAJ
language English
format Article
sources DOAJ
author Yu-Qing Bao
Yang Li
Beibei Wang
Minqiang Hu
Yanmin Zhou
spellingShingle Yu-Qing Bao
Yang Li
Beibei Wang
Minqiang Hu
Yanmin Zhou
Day-Ahead Scheduling Considering Demand Response as a Frequency Control Resource
Energies
demand response (DR)
day-ahead scheduling
frequency control
unit commitment
author_facet Yu-Qing Bao
Yang Li
Beibei Wang
Minqiang Hu
Yanmin Zhou
author_sort Yu-Qing Bao
title Day-Ahead Scheduling Considering Demand Response as a Frequency Control Resource
title_short Day-Ahead Scheduling Considering Demand Response as a Frequency Control Resource
title_full Day-Ahead Scheduling Considering Demand Response as a Frequency Control Resource
title_fullStr Day-Ahead Scheduling Considering Demand Response as a Frequency Control Resource
title_full_unstemmed Day-Ahead Scheduling Considering Demand Response as a Frequency Control Resource
title_sort day-ahead scheduling considering demand response as a frequency control resource
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2017-01-01
description The development of advanced metering technologies makes demand response (DR) able to provide fast response services, e.g., primary frequency control. It is recognized that DR can contribute to the primary frequency control like thermal generators. This paper proposes a day-ahead scheduling method that considers DR as a frequency control resource, so that the DR resources can be dispatched properly with other resources. In the proposed method, the objective of frequency control is realized by defining a frequency limit equation under a supposed contingency. The frequency response model is used to model the dynamics of system frequency. The nonlinear frequency limit equation is transformed to a linear arithmetic equation by piecewise linearization, so that the problem can be solved by mixed integer linear programming (MILP). Finally, the proposed method is verified on numerical examples.
topic demand response (DR)
day-ahead scheduling
frequency control
unit commitment
url http://www.mdpi.com/1996-1073/10/1/82
work_keys_str_mv AT yuqingbao dayaheadschedulingconsideringdemandresponseasafrequencycontrolresource
AT yangli dayaheadschedulingconsideringdemandresponseasafrequencycontrolresource
AT beibeiwang dayaheadschedulingconsideringdemandresponseasafrequencycontrolresource
AT minqianghu dayaheadschedulingconsideringdemandresponseasafrequencycontrolresource
AT yanminzhou dayaheadschedulingconsideringdemandresponseasafrequencycontrolresource
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