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Autonomous Support and Efficiency Optimization of Series Resonant Converter

Scioscia, Christopher (2017) Autonomous Support and Efficiency Optimization of Series Resonant Converter. Master's Thesis, University of Pittsburgh. (Unpublished)

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As the electrical grid moves towards modernization and the prevalence of DC architectures, microgrids, and distributed generation increases, the interactions and performances of these DC topologies must be understood and evaluated. Focusing on microgrids, these independent electrical entities typically have distributed generation, local load, some form of energy storage, and a connection with the electrical grid. When instabilities arise on either the grid or the microgrid, the connection can be severed, allowing the microgrid to operate self-sufficiently. While the microgrid is in isolation, resource management is of primary importance as the grid is no longer electrically connected to make up deficits in power that might arise.
This research focuses on utilizing a power management algorithm to maximize the efficiency of an isolated microgrid, as to minimize the losses of the system while limited resources are available. The microgrid consists of photovoltaic generation, local load, a series resonant load converter, and energy storage. The energy storage is placed in parallel with the load converter and is interfaced via bi-directional converters to the front and back ends of the load converter. Utilizing the energy storage as a functional load or source, the operational point of the load converter can be adjusted and consequently the efficiency of the converter can be optimized. In the work that follows, the design, control, and operation of the aforementioned system are detailed, as well as the autonomous power management logic, which governs the allocation of microgrid resources for optimization of the load converter and thus the microgrid system.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Scioscia, Christophercts19@pitt.educts190000-0002-0799-1754
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairGrainger, Brandonbmg10@pitt.edubmg10
Committee CoChairReed, Gregorygfr3@pitt.edugfr3
Committee MemberStanchina, Williamwes25@pitt.eduwes25
Committee MemberMao, Zhi-Hongzhm4@pitt.eduzhm4
Date: 25 September 2017
Date Type: Publication
Defense Date: 12 June 2017
Approval Date: 25 September 2017
Submission Date: 13 June 2017
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 118
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Electrical and Computer Engineering
Degree: MSEE - Master of Science in Electrical Engineering
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: Efficiency Optimization, Energy Storage, Load Sharing, Voltage Support, Power Management, Series Resonant Conversion, Hybrid Control
Date Deposited: 25 Sep 2017 20:37
Last Modified: 25 Sep 2017 20:37


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