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Adaptive Control for Solar Energy Based DC Microgrid System Development

Zhang, Qinhao (2016) Adaptive Control for Solar Energy Based DC Microgrid System Development. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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During the upgrading of current electric power grid, it is expected to develop smarter, more robust and more reliable power systems integrated with distributed generations. To realize these objectives, traditional control techniques are no longer effective in either stabilizing systems or delivering optimal and robust performances. Therefore, development of advanced control methods has received increasing attention in power engineering. This work addresses two specific problems in the control of solar panel based microgrid systems. First, a new control scheme is proposed for the microgrid systems to achieve optimal energy conversion ratio in the solar panels. The control system can optimize the efficiency of the maximum power point tracking (MPPT) algorithm by implementing two layers of adaptive control. Such a hierarchical control architecture has greatly improved the system performance, which is validated through both mathematical analysis and computer simulation. Second, in the development of the microgrid transmission system, the issues related to the tele-communication delay and constant power load (CPL)’s negative incremental impedance are investigated. A reference model based method is proposed for pole and zero placements that address the challenges of the time delay and CPL in closed-loop control. The effectiveness of the proposed modeling and control design methods are demonstrated in a simulation testbed. Practical aspects of the proposed methods for general microgrid systems are also discussed.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairMao, Zhi-Hongzhm4@pitt.eduZHM4
Committee MemberReed, Gregorygfr3@pitt.eduGFR3
Committee MemberChen, Yiranyic52@pitt.eduYIC52
Committee MemberMcDermott, Thomastem42@pitt.eduTEM42
Committee MemberStanchina, William
Committee MemberSun, Minguidrsun@pitt.eduDRSUN
Date: 15 June 2016
Date Type: Publication
Defense Date: 3 December 2015
Approval Date: 15 June 2016
Submission Date: 29 March 2016
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 109
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Electrical Engineering
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: Adaptive Control, MPPT, Medium Voltage Microgrid
Date Deposited: 15 Jun 2016 18:44
Last Modified: 15 Nov 2016 14:32


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