2026-09-20T15:37:03Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/14620 2023-07-10 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Chapman, Patrick L. Chapman, Patrick L. Johnson, Brian B. 2010-01-06T16:19:53Z 2010-01-06T16:19:53Z 2010-01-06T16:19:53Z This work presents a unified method for dynamic modeling and stability analysis of microgrid power systems. Using the automated state-model generation algorithm, a state-space model of the microgrid power system is derived. The model may be used to conduct time-domain simulations and analyze system response to large transients. Additionally, eigenvalues of the system may be analyzed with respect to inverter control gains to assess small-signal stability. The proposed methodology is verified for large-signal transient study and small-signal stability analysis using dual and single-inverter microgrid systems, respectively. The presented method is general and may be applied to any three-phase circuit topology and inverter control without the need to derive circuit state equations. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2009-12-02T20:20:50Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 14 Johnson_Brian.pdf: 799703 bytes, checksum: 3ba08b7d34f21ffde1a3adca5fce86a3 (MD5) IEEE_ECE.bst: 61786 bytes, checksum: e34f041873deb4165fc8d76725c453c4 (MD5) thesisrefs.bib: 53270 bytes, checksum: c112b1bb8530f4e52c08833f7678e46b (MD5) uiucecethesis09.cls: 21293 bytes, checksum: f7da6ee795fd10ba13675dc7dae4ea61 (MD5) Conclusion.tex: 3178 bytes, checksum: 4bc323fe817ddaac7b91b0b4625d8cd5 (MD5) Ch5.tex: 26046 bytes, checksum: 734a9b147e85066eeb8bab98511e8bdd (MD5) Ch4_again.tex: 25921 bytes, checksum: 985ebc68b67dc0fa28cbf904e1cf95dd (MD5) Ch3.tex: 15240 bytes, checksum: 523d2684df4df30da0342b53fe784034 (MD5) Ch2.tex: 12837 bytes, checksum: 480f3cd2bf86f90935d440a3a4699668 (MD5) Ch1.tex: 372 bytes, checksum: 8ce40c6bddbedc03405545c7a2bbfb4f (MD5) Appendix.tex: 28448 bytes, checksum: a7f41d5c7bfd305ed1a20449879c38c3 (MD5) ack.tex: 710 bytes, checksum: 1a90eacc93d56281833a49bd57da0e89 (MD5) abs.tex: 788 bytes, checksum: 650ceaebc6d76fe344c55f52ce237542 (MD5) ecethesis.tex: 4839 bytes, checksum: 77daaa62d5b4d13b735559cad5e74384 (MD5) Made available in DSpace on 2010-01-06T16:19:53Z (GMT). No. of bitstreams: 15 license.txt: 4063 bytes, checksum: eda2d1d62969049045e327a2a67a104a (MD5) Johnson_Brian.pdf: 799703 bytes, checksum: 3ba08b7d34f21ffde1a3adca5fce86a3 (MD5) ecethesis.tex: 4839 bytes, checksum: 77daaa62d5b4d13b735559cad5e74384 (MD5) IEEE_ECE.bst: 61786 bytes, checksum: e34f041873deb4165fc8d76725c453c4 (MD5) abs.tex: 788 bytes, checksum: 650ceaebc6d76fe344c55f52ce237542 (MD5) ack.tex: 710 bytes, checksum: 1a90eacc93d56281833a49bd57da0e89 (MD5) Appendix.tex: 28448 bytes, checksum: a7f41d5c7bfd305ed1a20449879c38c3 (MD5) Ch1.tex: 372 bytes, checksum: 8ce40c6bddbedc03405545c7a2bbfb4f (MD5) Ch2.tex: 12837 bytes, checksum: 480f3cd2bf86f90935d440a3a4699668 (MD5) Ch3.tex: 15240 bytes, checksum: 523d2684df4df30da0342b53fe784034 (MD5) Ch4_again.tex: 25921 bytes, checksum: 985ebc68b67dc0fa28cbf904e1cf95dd (MD5) Ch5.tex: 26046 bytes, checksum: 734a9b147e85066eeb8bab98511e8bdd (MD5) Conclusion.tex: 3178 bytes, checksum: 4bc323fe817ddaac7b91b0b4625d8cd5 (MD5) uiucecethesis09.cls: 21293 bytes, checksum: f7da6ee795fd10ba13675dc7dae4ea61 (MD5) thesisrefs.bib: 53270 bytes, checksum: c112b1bb8530f4e52c08833f7678e46b (MD5) http://hdl.handle.net/2142/14620 en Copyright 2009 Brian Johnson microgrid microgrids power stability dynamic modeling modeling distributed generation A Unified Technique for Dynamic Modeling and Stability Analysis of Microgrid Systems 2009-12 Electrical & Computer Eng 1933 Electrical & Computer Engr 1200 University of Illinois at Urbana-Champaign Thesis M.S. MS:Electr & Computer Eng-UIUC 10KS1200MS