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Integrated Generation Management for Maximizing Renewable Resource Utilization

Xu, Haifeng (2012) Integrated Generation Management for Maximizing Renewable Resource Utilization. Master's Thesis, University of Pittsburgh. (Unpublished)

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Two proposed methods to reduce the effective intermittency and improve the efficiency of wind power generation in the grid are spatial smoothing of wind generation and utilization of short term electrical storage to deal with lulls in production. In this thesis, based on a concept called integrated generation management (IGM), we explore the impact of spatial smoothing and the use of emerging plug-in hybrid electric vehicles (PHEVs) as a potential storage resource to the smart-grid. IGM combines nuclear, slow load-following coal, fast load-following natural gas, and renewable wind generation with an optimal control method to maximize the renewable generation and minimize the fossil generation. With the increasing penetration of PHEVs, the power grid is seeing new opportunities to make itself smarter than ever by utilizing those relatively large batteries. Based on current projections of PHEV market penetration and various wind generation scenarios, we demonstrate the potential for efficient wind integration at levels of approaching 30% of the aver- age electrical load with utilization efficiency exceeding 65%. At lower levels of integration (e.g. 15%), efficiencies are possible exceeding 85%.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Xu, Haifenghax6@pitt.eduHAX6
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairJones, Alexakjones@pitt.eduAKJONES
Committee MemberMao, Zhi-Hongzhm4@pitt.eduZHM4
Committee MemberChen, Yiranyic52@pitt.eduYIC52
Committee MemberBelic, Melissambilec@pitt.eduMBILEC
Date: 4 June 2012
Date Type: Publication
Defense Date: 29 April 2012
Approval Date: 4 June 2012
Submission Date: 3 April 2012
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 6
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: Power grid, Integrated generation management, renewable resource, wind utilization, PHEV, spatial smoothing, vehicle-to-grid
Related URLs:
Date Deposited: 04 Jun 2012 17:42
Last Modified: 15 Nov 2016 13:57


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