Demand Response Modeling in Microgrid Operation: a Review and Application for Incentive-Based and Time-Based Programs

Imani, MH; Ghadi, MJ; Ghavidel, S; Li, L

Demand Response Modeling in Microgrid Operation: a Review and Application for Incentive-Based and Time-Based Programs

Imani, MH Ghadi, MJ

Ghavidel, S Li, L

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Publication Type:: Journal Article
Citation:: Renewable and Sustainable Energy Reviews, 2018, 94 pp. 486 - 499
Issue Date:: 2018-10-01

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Field	Value	Language
dc.contributor.author	Imani, MH	en_US
dc.contributor.author	Ghadi, MJ https://orcid.org/0000-0002-5564-5055	en_US
dc.contributor.author	Ghavidel, S	en_US
dc.contributor.author	Li, L https://orcid.org/0000-0001-8485-2216	en_US
dc.date.available	2020-10-01T19:08:21Z
dc.date.issued	2018-10-01	en_US
dc.identifier.citation	Renewable and Sustainable Energy Reviews, 2018, 94 pp. 486 - 499	en_US
dc.identifier.issn	1364-0321	en_US
dc.identifier.uri	http://hdl.handle.net/10453/131376
dc.description.abstract	© 2018 Elsevier Ltd During recent years, with the advent of restructuring in power systems as well as the increase of electricity demand and global fuel energy prices, challenges related to implementing demand response programs (DRPs) have gained remarkable attention of independent system operators (ISOs) and customers, aiming at the improvement of attributes of the load curve and reduction of energy consumption as well as benefiting customers. In this paper, different types of DRPs are modeled based on price elasticity of the demand and the concept of customer benefit. Besides, the impact of implementing DRPs on the operation of grid-connected microgrid (MG) is analyzed. Moreover, several scenarios are presented in order to model uncertainties interfering MG operations including failure of generation units and random outages of transmission lines and upstream line, error in load demand forecasting, uncertainty in production of renewable energies (wind and solar) based distributed generation units, and the possibility that customers do not respond to scheduled interruptions. Simulations are conducted for two principal categories of DRP including incentive-based programs and time-based programs on an 11-bus MG over a 24-h period and also a 14-bus MG over a period of 336 h (two weeks). Simulation results indicate the effects of DRPs on total operation costs, customer's benefit, and load curve as well as determining optimal use of energy resources in the MG operation. In this regard, prioritizing of DRPs on the MG operation is required.	en_US
dc.relation.ispartof	Renewable and Sustainable Energy Reviews	en_US
dc.relation.isbasedon	10.1016/j.rser.2018.06.017	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Energy	en_US
dc.title	Demand Response Modeling in Microgrid Operation: a Review and Application for Incentive-Based and Time-Based Programs	en_US
dc.type	Journal Article
utslib.citation.volume	94	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0907 Environmental Engineering	en_US
utslib.for	09 Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US
pubs.volume	94	en_US

Abstract:

© 2018 Elsevier Ltd During recent years, with the advent of restructuring in power systems as well as the increase of electricity demand and global fuel energy prices, challenges related to implementing demand response programs (DRPs) have gained remarkable attention of independent system operators (ISOs) and customers, aiming at the improvement of attributes of the load curve and reduction of energy consumption as well as benefiting customers. In this paper, different types of DRPs are modeled based on price elasticity of the demand and the concept of customer benefit. Besides, the impact of implementing DRPs on the operation of grid-connected microgrid (MG) is analyzed. Moreover, several scenarios are presented in order to model uncertainties interfering MG operations including failure of generation units and random outages of transmission lines and upstream line, error in load demand forecasting, uncertainty in production of renewable energies (wind and solar) based distributed generation units, and the possibility that customers do not respond to scheduled interruptions. Simulations are conducted for two principal categories of DRP including incentive-based programs and time-based programs on an 11-bus MG over a 24-h period and also a 14-bus MG over a period of 336 h (two weeks). Simulation results indicate the effects of DRPs on total operation costs, customer's benefit, and load curve as well as determining optimal use of energy resources in the MG operation. In this regard, prioritizing of DRPs on the MG operation is required.

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http://hdl.handle.net/10453/131376