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Benefits of Spatial Smoothing for the Integration of Wind Power

O'Connor, Robert Gerard (2011) Benefits of Spatial Smoothing for the Integration of Wind Power. Master's Thesis, University of Pittsburgh. (Unpublished)

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The stochastic nature of renewables such as wind greatly complicates their integration into power systems. At small levels of penetration the effects of wind integration are hardly noticed. As the penetration grows, the impact is expected to be considerable. Changes will need to be made to the way in which traditional generators are used. Often those generators are forced to run under suboptimal conditions. This can increase cost and also carbon emissions, negating any benefits of renewable energy. This study demonstrates the benefits that can be derived from the use of spatial smoothing. Spatial smoothing involves connecting grids together into larger interconnects and sharing the renewable resources between different regions. It is demonstrated that through spatial smoothing significant decreases can be obtained in the additional costs and other issues associated with wind integration. Additionally, the same theory can be applied to any other intermittent, non-dispatchable renewable resource including solar.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
O'Connor, Robert Gerardrgo1@pitt.eduRGO1
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee CoChairReed, Gregorygfr3@pitt.eduGFR3
Committee CoChairMao, Zhi-Hongzhm4@pitt.eduZHM4
Committee MemberMickle, Marlinmickle@pitt.eduMICKLE
Committee MemberSun, Minguidrsun@pitt.eduDRSUN
Date: 26 January 2011
Date Type: Completion
Defense Date: 18 November 2010
Approval Date: 26 January 2011
Submission Date: 4 November 2010
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Electrical Engineering
Degree: MSEE - Master of Science in Electrical Engineering
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: optimization; Renewable generation; wind; linear programming; spatial smoothing
Other ID:, etd-11042010-151527
Date Deposited: 10 Nov 2011 20:04
Last Modified: 15 Nov 2016 13:51


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