Coordinated resource scheduling in a large scale virtual power plant considering demand response and energy storages
Virtual power plant (VPP) is an effective approach to aggregate distributed generation resources under a central control. This paper introduces a mixed-integer linear programming model for optimal scheduling of the internal resources of a large scale VPP in order to maximize its profit. The proposed...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Mohaghegh Ardabili
2018-06-01
|
Series: | Journal of Operation and Automation in Power Engineering |
Subjects: | |
Online Access: | http://joape.uma.ac.ir/article_636_271e7836b49dcc5d545da388f996ddd0.pdf |
id |
doaj-c349a001054947258832712c8e408585 |
---|---|
record_format |
Article |
spelling |
doaj-c349a001054947258832712c8e4085852020-11-24T21:28:22ZengUniversity of Mohaghegh ArdabiliJournal of Operation and Automation in Power Engineering2322-45762423-45672018-06-0161506010.22098/joape.2018.3153.1257636Coordinated resource scheduling in a large scale virtual power plant considering demand response and energy storagesH. M. Samakoosh0M. Jafari-Nokandi1A. Sheikholeslami2Mazandaran University of Science and TechnologyNoshirvani University of TechnologyNoshirvani University of TechnologyVirtual power plant (VPP) is an effective approach to aggregate distributed generation resources under a central control. This paper introduces a mixed-integer linear programming model for optimal scheduling of the internal resources of a large scale VPP in order to maximize its profit. The proposed model studies the effect of a demand response (DR) program on the scheduling of the VPP. The profit of the VPP is calculated considering different components including the income from the sale of electricity to the network and the incentives received by the renewable resources, fuel cost, the expense of the purchase of electricity from the network and the load curtailment cost during the scheduling horizon. The proposed model is implemented in a large scale VPP that consists of five plants in two cases: with and without the presence of the DR. Simulation results show that the implementation of the DR program reduces the operation cost in the VPP, therefore increasing its profit.http://joape.uma.ac.ir/article_636_271e7836b49dcc5d545da388f996ddd0.pdfVirtual power plantDemand responseDistributed energy resourcesstorage, Mixed-integer linear programming |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
H. M. Samakoosh M. Jafari-Nokandi A. Sheikholeslami |
spellingShingle |
H. M. Samakoosh M. Jafari-Nokandi A. Sheikholeslami Coordinated resource scheduling in a large scale virtual power plant considering demand response and energy storages Journal of Operation and Automation in Power Engineering Virtual power plant Demand response Distributed energy resources storage, Mixed-integer linear programming |
author_facet |
H. M. Samakoosh M. Jafari-Nokandi A. Sheikholeslami |
author_sort |
H. M. Samakoosh |
title |
Coordinated resource scheduling in a large scale virtual power plant considering demand response and energy storages |
title_short |
Coordinated resource scheduling in a large scale virtual power plant considering demand response and energy storages |
title_full |
Coordinated resource scheduling in a large scale virtual power plant considering demand response and energy storages |
title_fullStr |
Coordinated resource scheduling in a large scale virtual power plant considering demand response and energy storages |
title_full_unstemmed |
Coordinated resource scheduling in a large scale virtual power plant considering demand response and energy storages |
title_sort |
coordinated resource scheduling in a large scale virtual power plant considering demand response and energy storages |
publisher |
University of Mohaghegh Ardabili |
series |
Journal of Operation and Automation in Power Engineering |
issn |
2322-4576 2423-4567 |
publishDate |
2018-06-01 |
description |
Virtual power plant (VPP) is an effective approach to aggregate distributed generation resources under a central control. This paper introduces a mixed-integer linear programming model for optimal scheduling of the internal resources of a large scale VPP in order to maximize its profit. The proposed model studies the effect of a demand response (DR) program on the scheduling of the VPP. The profit of the VPP is calculated considering different components including the income from the sale of electricity to the network and the incentives received by the renewable resources, fuel cost, the expense of the purchase of electricity from the network and the load curtailment cost during the scheduling horizon. The proposed model is implemented in a large scale VPP that consists of five plants in two cases: with and without the presence of the DR. Simulation results show that the implementation of the DR program reduces the operation cost in the VPP, therefore increasing its profit. |
topic |
Virtual power plant Demand response Distributed energy resources storage, Mixed-integer linear programming |
url |
http://joape.uma.ac.ir/article_636_271e7836b49dcc5d545da388f996ddd0.pdf |
work_keys_str_mv |
AT hmsamakoosh coordinatedresourceschedulinginalargescalevirtualpowerplantconsideringdemandresponseandenergystorages AT mjafarinokandi coordinatedresourceschedulinginalargescalevirtualpowerplantconsideringdemandresponseandenergystorages AT asheikholeslami coordinatedresourceschedulinginalargescalevirtualpowerplantconsideringdemandresponseandenergystorages |
_version_ |
1725970919401193472 |