2026-09-20T12:55:17Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/44124 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Pilawa-Podgurski, Robert C. Schuck, Marcel 2013-05-24T21:51:23Z 2013-05-24T21:51:23Z 2013-05 2013-05-24T21:51:23Z 2013-05 Maximum power point tracking (MPPT) is an important feature in solar photovoltaic (PV) systems as it increases the energy yield from such systems by optimizing their operating point. Current state-of-the-art solutions perform MPPT for a whole system, a string of panels or an individual panel within a PV system. This results in a loss of energy when the optimal operating point varies among different units. In this thesis, the implementation of MPPT on the sub-panel level is presented. This enables increased energy output under mismatched conditions (e.g. due to partial shading) across the system. Three centrally controlled dc-dc buck converters with series connected outputs are implemented and tested. As the maximum power point (MPP) of panel sections may vary, the proposed multiphase converters operate under asymmetric conditions. Therefore, a control technique to minimize the output current ripple under these conditions is mathematically derived and verified through simulations and experimental measurements. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2013-04-24T22:34:06Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Schuck_Marcel.pdf: 12446563 bytes, checksum: 680cd24135f12379b80243f87295ba8e (MD5) Made available in DSpace on 2013-05-24T21:51:23Z (GMT). No. of bitstreams: 2 Marcel_Schuck.pdf: 12446563 bytes, checksum: 680cd24135f12379b80243f87295ba8e (MD5) license.txt: 4063 bytes, checksum: e9479a1fc3e0a6b20ba12f8c974a4027 (MD5) http://hdl.handle.net/2142/44124 en Copyright 2013 Marcel Schuck solar photovoltaic maximum power point tracking distributed power electronics multiphase converter dc-dc buck converter interleaving ripple cancellation Implementation and control of distributed maximum power point tracking in solar photovoltaic applications text Electrical & Computer Eng 1933 Electrical & Computer Engr 1200 University of Illinois at Urbana-Champaign Thesis M.S. MS:Electr & Computer Eng-UIUC 10KS1200MS