Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/627910
Title: Electricity-Natural Gas Operation Planning With Hourly Demand Response for Deployment of Flexible Ramp
Authors: Xiaping Zhang;Liang Che;Mohammad Shahidehpour;Ahmed Alabdulwahab;Abdullah Abusorrah
subject: stochastic scheduling|Renewable energy|demand response|variability|flexible ramp|natural gas pipelines
Year: 2016
Publisher: IEEE
Abstract: This paper proposes an integrated stochastic day-ahead scheduling model to dispatch hourly generation and load resources and deploy flexible ramping for managing the variability of renewable energy system. A comprehensive framework for the natural gas transportation network is considered to address the dispatchability of a fleet of fuel-constrained natural gas-fired units. System uncertainties include the day-ahead load and renewable generation forecast errors. Illustrative examples demonstrate that the real-time natural gas delivery can directly impact the hourly dispatch, flexible ramp deployment, and power system operation cost. Meanwhile, the demand side participation can mitigate the dependency of electricity on natural gas by providing a viable option for flexible ramp when the natural gas system is constrained.
URI: http://localhost/handle/Hannan/170755
http://localhost/handle/Hannan/627910
ISSN: 1949-3029
1949-3037
volume: 7
issue: 3
Appears in Collections:2016

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7389420.pdf1.42 MBAdobe PDFThumbnail
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Title: Electricity-Natural Gas Operation Planning With Hourly Demand Response for Deployment of Flexible Ramp
Authors: Xiaping Zhang;Liang Che;Mohammad Shahidehpour;Ahmed Alabdulwahab;Abdullah Abusorrah
subject: stochastic scheduling|Renewable energy|demand response|variability|flexible ramp|natural gas pipelines
Year: 2016
Publisher: IEEE
Abstract: This paper proposes an integrated stochastic day-ahead scheduling model to dispatch hourly generation and load resources and deploy flexible ramping for managing the variability of renewable energy system. A comprehensive framework for the natural gas transportation network is considered to address the dispatchability of a fleet of fuel-constrained natural gas-fired units. System uncertainties include the day-ahead load and renewable generation forecast errors. Illustrative examples demonstrate that the real-time natural gas delivery can directly impact the hourly dispatch, flexible ramp deployment, and power system operation cost. Meanwhile, the demand side participation can mitigate the dependency of electricity on natural gas by providing a viable option for flexible ramp when the natural gas system is constrained.
URI: http://localhost/handle/Hannan/170755
http://localhost/handle/Hannan/627910
ISSN: 1949-3029
1949-3037
volume: 7
issue: 3
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7389420.pdf1.42 MBAdobe PDFThumbnail
Preview File
Title: Electricity-Natural Gas Operation Planning With Hourly Demand Response for Deployment of Flexible Ramp
Authors: Xiaping Zhang;Liang Che;Mohammad Shahidehpour;Ahmed Alabdulwahab;Abdullah Abusorrah
subject: stochastic scheduling|Renewable energy|demand response|variability|flexible ramp|natural gas pipelines
Year: 2016
Publisher: IEEE
Abstract: This paper proposes an integrated stochastic day-ahead scheduling model to dispatch hourly generation and load resources and deploy flexible ramping for managing the variability of renewable energy system. A comprehensive framework for the natural gas transportation network is considered to address the dispatchability of a fleet of fuel-constrained natural gas-fired units. System uncertainties include the day-ahead load and renewable generation forecast errors. Illustrative examples demonstrate that the real-time natural gas delivery can directly impact the hourly dispatch, flexible ramp deployment, and power system operation cost. Meanwhile, the demand side participation can mitigate the dependency of electricity on natural gas by providing a viable option for flexible ramp when the natural gas system is constrained.
URI: http://localhost/handle/Hannan/170755
http://localhost/handle/Hannan/627910
ISSN: 1949-3029
1949-3037
volume: 7
issue: 3
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7389420.pdf1.42 MBAdobe PDFThumbnail
Preview File