{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/31965"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/31965","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Robust implementation of algorithms for distributed generation control of small-footprint power systems","abstract":"Together with advancements in communication and computer processing technologies, the widespread integration of distributed energy resources (DERs) in the form of renewable energy sources, e.g., wind and solar, will make available new and valuable ancillary services to power systems such as voltage support and frequency regulation. Given the relative size of the resources, however, the provision of these services will require the coordination of several DERs such that their collective capabilities have sufficient impact on a system level. This thesis proposes a method for controlling distributed generation resources (DGRs) without the need for a centralized decision maker. In particular, we discuss a class of iterative algorithms which are capable of coordinating a set of DGRs in order to collectively achieve a predetermined goal. We begin by formulating an unconstrained algorithm which we later extend to account for individual DGR capacity constraints. A convergence analysis of the algorithms is presented, followed by the discussion of a modification that enhances the resiliency of the algorithms when the communication links are imperfect. Next, the development of a hardware testbed comprised of low-complexity devices equipped with wireless transceivers that implements the algorithms is described. We conclude by illustrating the efficacy of the algorithms by utilizing the hardware testbed to control the synchronous generators to regulate the electrical frequency in a small-footprint power system.","abstract_html":"Together with advancements in communication and computer processing technologies, the widespread integration of distributed energy resources (DERs) in the form of renewable energy sources, e.g., wind and solar, will make available new and valuable ancillary services to power systems such as voltage support and frequency regulation. Given the relative size of the resources, however, the provision of these services will require the coordination of several DERs such that their collective capabilities have sufficient impact on a system level. This thesis proposes a method for controlling distributed generation resources (DGRs) without the need for a centralized decision maker. In particular, we discuss a class of iterative algorithms which are capable of coordinating a set of DGRs in order to collectively achieve a predetermined goal. We begin by formulating an unconstrained algorithm which we later extend to account for individual DGR capacity constraints. A convergence analysis of the algorithms is presented, followed by the discussion of a modification that enhances the resiliency of the algorithms when the communication links are imperfect. Next, the development of a hardware testbed comprised of low-complexity devices equipped with wireless transceivers that implements the algorithms is described. We conclude by illustrating the efficacy of the algorithms by utilizing the hardware testbed to control the synchronous generators to regulate the electrical frequency in a small-footprint power system.","abstract_has_math":false,"creators":["Cady, Stanton T."],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Domínguez-García, Alejandro D."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2012,"date_issued":"2012-06-27T21:22:02Z","date_published":"2012-06-27T21:22:02Z","updated_at":"2026-07-22T22:25:30Z","subjects":["Power systems","distributed frequency control","droop controller","microgrid","small-footprint power system","distributed algorithm","distributed generation control"],"languages":["en"],"rights":["Copyright 2012 Stanton T. 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In particular, we discuss a class of iterative algorithms which are capable of coordinating a set of DGRs in order to collectively achieve a predetermined goal. We begin by formulating an unconstrained algorithm which we later extend to account for individual DGR capacity constraints. A convergence analysis of the algorithms is presented, followed by the discussion of a modification that enhances the resiliency of the algorithms when the communication links are imperfect. Next, the development of a hardware testbed comprised of low-complexity devices equipped with wireless transceivers that implements the algorithms is described. We conclude by illustrating the efficacy of the algorithms by utilizing the hardware testbed to control the synchronous generators to regulate the electrical frequency in a small-footprint power system.","Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2012-04-16T13:03:33Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 STC_ms_thesis.pdf: 479798 bytes, checksum: 3b0f4a73918da1694d5af73e5f796736 (MD5) Cady_Stanton.pdf: 479798 bytes, checksum: 3b0f4a73918da1694d5af73e5f796736 (MD5)","Made available in DSpace on 2012-06-27T21:22:02Z (GMT). No. of bitstreams: 2 Cady_Stanton.pdf: 479798 bytes, checksum: 3b0f4a73918da1694d5af73e5f796736 (MD5) license.txt: 4060 bytes, checksum: 26d9ed1de9966a58be0bed76f5bd9feb (MD5)","Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by William Ingram (wingram2@illinois.edu) on 2012-06-27T21:24:41Z Item is restricted until 2014-06-27T21:24:27Z","Item reinstated by Sarah Shreeves (sshreeve@illinois.edu) on 2014-06-28T10:00:22Z Item was in collections: Dissertations and Theses - Electrical and Computer Engineering (ID: 446) Graduate Theses and Dissertations at Illinois (ID: 204) No. of bitstreams: 2 Cady_Stanton.pdf: 479798 bytes, checksum: 3b0f4a73918da1694d5af73e5f796736 (MD5) license.txt: 4060 bytes, checksum: 26d9ed1de9966a58be0bed76f5bd9feb (MD5)","Item released from any restrictions by Sarah Shreeves (sshreeve@illinois.edu) on 2014-06-28T10:00:22Z"]},{"key":"dc:title","label":"Title","values":["Robust implementation of algorithms for distributed generation control of small-footprint power systems"]}]}],"canonical_facts":{"dc:contributor":["Domínguez-García, Alejandro D."],"dc:creator":["Cady, Stanton T."],"dc:date":["2012-06-27T21:22:02Z","2014-06-28T10:00:22Z","2012-05"],"dc:description":["Together with advancements in communication and computer processing technologies, the widespread integration of distributed energy resources (DERs) in the form of renewable energy sources, e.g., wind and solar, will make available new and valuable ancillary services to power systems such as voltage support and frequency regulation. Given the relative size of the resources, however, the provision of these services will require the coordination of several DERs such that their collective capabilities have sufficient impact on a system level. This thesis proposes a method for controlling distributed generation resources (DGRs) without the need for a centralized decision maker. In particular, we discuss a class of iterative algorithms which are capable of coordinating a set of DGRs in order to collectively achieve a predetermined goal. We begin by formulating an unconstrained algorithm which we later extend to account for individual DGR capacity constraints. A convergence analysis of the algorithms is presented, followed by the discussion of a modification that enhances the resiliency of the algorithms when the communication links are imperfect. Next, the development of a hardware testbed comprised of low-complexity devices equipped with wireless transceivers that implements the algorithms is described. We conclude by illustrating the efficacy of the algorithms by utilizing the hardware testbed to control the synchronous generators to regulate the electrical frequency in a small-footprint power system.","Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2012-04-16T13:03:33Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 STC_ms_thesis.pdf: 479798 bytes, checksum: 3b0f4a73918da1694d5af73e5f796736 (MD5) Cady_Stanton.pdf: 479798 bytes, checksum: 3b0f4a73918da1694d5af73e5f796736 (MD5)","Made available in DSpace on 2012-06-27T21:22:02Z (GMT). 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Cady"],"dc:subject":["Power systems","distributed frequency control","droop controller","microgrid","small-footprint power system","distributed algorithm","distributed generation control"],"dc:title":["Robust implementation of algorithms for distributed generation control of small-footprint power systems"],"dc:type":["text"],"thesis:degree_discipline":["Electrical & Computer Engr"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:30Z"}