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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Online Access: | http://www.mdpi.com/1996-1073/10/1/82 |
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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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1725444469253210112 |