Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/630528
Title: Energy and Reserve Scheduling Under Wind Power Uncertainty: An Adjustable Interval Approach
Authors: Meysam Doostizadeh;Farrokh Aminifar;Hassan Ghasemi;Hamid Lesani
subject: Day-ahead market energy and reserve scheduling|ramping capability|wind power uncertainty
Year: 2016
Publisher: IEEE
Abstract: This paper presents an adjustable interval optimization model for the energy and reserve clearance while treating the wind power variation and uncertainty. Instead of conventional predicted intervals (PIs), adjustable intervals (AIs) as subsets of PIs are proposed as more judicious choices for economically covering wind uncertainties. Ramp-capability reserve is modeled to ensure the existence of sufficient ramp capability needed to follow up wind power variation within AIs. However, realization of wind power beyond AIs, which is no longer compensable by ramp-capability reserve, would necessarily lead to either load shedding or wind spillage. In order to optimally determine AIs, apart from the energy and reserve procurement costs, the costs associated with load shedding and wind spillage are incorporated in the objective function. The confidence level theory is employed as well for tuning the robustness and conservatism of the final solution. Performance of the proposed method is examined on several case studies on an 8-bus and modified IEEE 118-bus test systems. Sensitivity analyses are conducted to specify the impacts of important parameters on the obtained solution. The results confirm the applicability and effectiveness of the proposed methodology.
URI: http://localhost/handle/Hannan/171136
http://localhost/handle/Hannan/630528
ISSN: 1949-3053
1949-3061
volume: 7
issue: 6
Appears in Collections:2016

Files in This Item:
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Title: Energy and Reserve Scheduling Under Wind Power Uncertainty: An Adjustable Interval Approach
Authors: Meysam Doostizadeh;Farrokh Aminifar;Hassan Ghasemi;Hamid Lesani
subject: Day-ahead market energy and reserve scheduling|ramping capability|wind power uncertainty
Year: 2016
Publisher: IEEE
Abstract: This paper presents an adjustable interval optimization model for the energy and reserve clearance while treating the wind power variation and uncertainty. Instead of conventional predicted intervals (PIs), adjustable intervals (AIs) as subsets of PIs are proposed as more judicious choices for economically covering wind uncertainties. Ramp-capability reserve is modeled to ensure the existence of sufficient ramp capability needed to follow up wind power variation within AIs. However, realization of wind power beyond AIs, which is no longer compensable by ramp-capability reserve, would necessarily lead to either load shedding or wind spillage. In order to optimally determine AIs, apart from the energy and reserve procurement costs, the costs associated with load shedding and wind spillage are incorporated in the objective function. The confidence level theory is employed as well for tuning the robustness and conservatism of the final solution. Performance of the proposed method is examined on several case studies on an 8-bus and modified IEEE 118-bus test systems. Sensitivity analyses are conducted to specify the impacts of important parameters on the obtained solution. The results confirm the applicability and effectiveness of the proposed methodology.
URI: http://localhost/handle/Hannan/171136
http://localhost/handle/Hannan/630528
ISSN: 1949-3053
1949-3061
volume: 7
issue: 6
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7480407.pdf1.27 MBAdobe PDFThumbnail
Preview File
Title: Energy and Reserve Scheduling Under Wind Power Uncertainty: An Adjustable Interval Approach
Authors: Meysam Doostizadeh;Farrokh Aminifar;Hassan Ghasemi;Hamid Lesani
subject: Day-ahead market energy and reserve scheduling|ramping capability|wind power uncertainty
Year: 2016
Publisher: IEEE
Abstract: This paper presents an adjustable interval optimization model for the energy and reserve clearance while treating the wind power variation and uncertainty. Instead of conventional predicted intervals (PIs), adjustable intervals (AIs) as subsets of PIs are proposed as more judicious choices for economically covering wind uncertainties. Ramp-capability reserve is modeled to ensure the existence of sufficient ramp capability needed to follow up wind power variation within AIs. However, realization of wind power beyond AIs, which is no longer compensable by ramp-capability reserve, would necessarily lead to either load shedding or wind spillage. In order to optimally determine AIs, apart from the energy and reserve procurement costs, the costs associated with load shedding and wind spillage are incorporated in the objective function. The confidence level theory is employed as well for tuning the robustness and conservatism of the final solution. Performance of the proposed method is examined on several case studies on an 8-bus and modified IEEE 118-bus test systems. Sensitivity analyses are conducted to specify the impacts of important parameters on the obtained solution. The results confirm the applicability and effectiveness of the proposed methodology.
URI: http://localhost/handle/Hannan/171136
http://localhost/handle/Hannan/630528
ISSN: 1949-3053
1949-3061
volume: 7
issue: 6
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7480407.pdf1.27 MBAdobe PDFThumbnail
Preview File