{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/78524"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/78524","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Distributed Grid Analytics Platform (DGAP) for power grid monitoring at the distribution level","abstract":"Phasor measurement units (PMUs) which measure electrical waves with real-time synchronization at widely spread points across the power grid over great benefits. While the PMU device concept is well known in the power industry, the field of power system analysis stands to benefit greatly from using different methods of designing and implementing an inexpensive PMU that can be widely and densely distributed on the grid. Traditional PMUs are mainly installed at the transmission level, where they are hard to install and maintain, and can be expensive due to the rating requirements of the components. Given their benefits and increasingly widespread installation, easier-to-maintain and less costly PMUs are desired. In 2000, frequency disturbance recorders (FDRs), which are single-phase PMUs that monitor the power grid at the 120 V distribution level, were operated for the Frequency monitoring Network (FNET) project by Virginia Tech and the University of Tennessee. While installing FDRs at the low-voltage distribution level of the power grid was a great step toward reducing the cost and limitations of PMU use, there are still drawbacks and significant room for improvement: the sampling frequency is low at 1440 samples per second (SPS), there is no auxiliary power supply to support the device during an atypical power grid event, and the USD 2000 price can be driven lower. This thesis introduces the Distributed Grid Analytics Platform (DGAP) which has a higher sampling rate (20k SPS), a backup power supply, smaller size, and much lower cost (USD 200) while keeping the functionality of the FDRs including accurate data acquisition, GPS time synchronization, internet connectivity, and open source data upload. The improvements were realized by a more succinct approach for the system design and more updated component selection, which will be explained in this thesis. The designed DGAPs were built into prototypes and tested in household power outlets, experimentally validating their functionality.","abstract_html":"Phasor measurement units (PMUs) which measure electrical waves with real-time synchronization at widely spread points across the power grid over great benefits. While the PMU device concept is well known in the power industry, the field of power system analysis stands to benefit greatly from using different methods of designing and implementing an inexpensive PMU that can be widely and densely distributed on the grid. Traditional PMUs are mainly installed at the transmission level, where they are hard to install and maintain, and can be expensive due to the rating requirements of the components. Given their benefits and increasingly widespread installation, easier-to-maintain and less costly PMUs are desired. In 2000, frequency disturbance recorders (FDRs), which are single-phase PMUs that monitor the power grid at the 120 V distribution level, were operated for the Frequency monitoring Network (FNET) project by Virginia Tech and the University of Tennessee. While installing FDRs at the low-voltage distribution level of the power grid was a great step toward reducing the cost and limitations of PMU use, there are still drawbacks and significant room for improvement: the sampling frequency is low at 1440 samples per second (SPS), there is no auxiliary power supply to support the device during an atypical power grid event, and the USD 2000 price can be driven lower. This thesis introduces the Distributed Grid Analytics Platform (DGAP) which has a higher sampling rate (20k SPS), a backup power supply, smaller size, and much lower cost (USD 200) while keeping the functionality of the FDRs including accurate data acquisition, GPS time synchronization, internet connectivity, and open source data upload. The improvements were realized by a more succinct approach for the system design and more updated component selection, which will be explained in this thesis. The designed DGAPs were built into prototypes and tested in household power outlets, experimentally validating their functionality.","abstract_has_math":false,"creators":["Li, Yuqi"],"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":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-07-22T22:17:57Z","date_published":"2015-07-22T22:17:57Z","updated_at":"2026-07-22T22:26:11Z","subjects":["Phasor Measurement Units (PMU)","Distributed Grid Analytics Platform (DGAP)","Power system measurement"],"languages":["en"],"rights":["Copyright 2015 Yuqi Li"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/78524","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Li, Yuqi"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-07-22T22:17:57Z","2015-05","2015-04-30","2015-5"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Phasor Measurement Units (PMU)","Distributed Grid Analytics Platform (DGAP)","Power system measurement"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2015 Yuqi Li"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/78524"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Phasor measurement units (PMUs) which measure electrical waves with real-time synchronization at widely spread points across the power grid over great benefits. While the PMU device concept is well known in the power industry, the field of power system analysis stands to benefit greatly from using different methods of designing and implementing an inexpensive PMU that can be widely and densely distributed on the grid. Traditional PMUs are mainly installed at the transmission level, where they are hard to install and maintain, and can be expensive due to the rating requirements of the components. Given their benefits and increasingly widespread installation, easier-to-maintain and less costly PMUs are desired. In 2000, frequency disturbance recorders (FDRs), which are single-phase PMUs that monitor the power grid at the 120 V distribution level, were operated for the Frequency monitoring Network (FNET) project by Virginia Tech and the University of Tennessee. While installing FDRs at the low-voltage distribution level of the power grid was a great step toward reducing the cost and limitations of PMU use, there are still drawbacks and significant room for improvement: the sampling frequency is low at 1440 samples per second (SPS), there is no auxiliary power supply to support the device during an atypical power grid event, and the USD 2000 price can be driven lower. This thesis introduces the Distributed Grid Analytics Platform (DGAP) which has a higher sampling rate (20k SPS), a backup power supply, smaller size, and much lower cost (USD 200) while keeping the functionality of the FDRs including accurate data acquisition, GPS time synchronization, internet connectivity, and open source data upload. The improvements were realized by a more succinct approach for the system design and more updated component selection, which will be explained in this thesis. The designed DGAPs were built into prototypes and tested in household power outlets, experimentally validating their functionality.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2015-07-22 without embargo terms","The student, Yuqi Li, accepted the attached license on 2015-04-28 at 11:38.","The student, Yuqi Li, submitted this Thesis for approval on 2015-04-28 at 12:17.","This Thesis was approved for publication on 2015-04-30 at 10:08.","DSpace SAF Submission Ingestion Package generated from Vireo submission #8151 on 2015-07-22 at 10:34:24","Made available in DSpace on 2015-07-22T22:17:57Z (GMT). No. of bitstreams: 2 LI-THESIS-2015.pdf: 34548329 bytes, checksum: 2281c61c42a9bd740297bfc5cb99f2b7 (MD5) LICENSE.txt: 4204 bytes, checksum: ed0ec42f211fdd25bddfb50d83cd6296 (MD5) Previous issue date: 2015-04-30"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Distributed Grid Analytics Platform (DGAP) for power grid monitoring at the distribution level"]}]}],"canonical_facts":{"dc:creator":["Li, Yuqi"],"dc:date":["2015-07-22T22:17:57Z","2015-05","2015-04-30","2015-5"],"dc:description":["Phasor measurement units (PMUs) which measure electrical waves with real-time synchronization at widely spread points across the power grid over great benefits. While the PMU device concept is well known in the power industry, the field of power system analysis stands to benefit greatly from using different methods of designing and implementing an inexpensive PMU that can be widely and densely distributed on the grid. Traditional PMUs are mainly installed at the transmission level, where they are hard to install and maintain, and can be expensive due to the rating requirements of the components. Given their benefits and increasingly widespread installation, easier-to-maintain and less costly PMUs are desired. In 2000, frequency disturbance recorders (FDRs), which are single-phase PMUs that monitor the power grid at the 120 V distribution level, were operated for the Frequency monitoring Network (FNET) project by Virginia Tech and the University of Tennessee. While installing FDRs at the low-voltage distribution level of the power grid was a great step toward reducing the cost and limitations of PMU use, there are still drawbacks and significant room for improvement: the sampling frequency is low at 1440 samples per second (SPS), there is no auxiliary power supply to support the device during an atypical power grid event, and the USD 2000 price can be driven lower. This thesis introduces the Distributed Grid Analytics Platform (DGAP) which has a higher sampling rate (20k SPS), a backup power supply, smaller size, and much lower cost (USD 200) while keeping the functionality of the FDRs including accurate data acquisition, GPS time synchronization, internet connectivity, and open source data upload. The improvements were realized by a more succinct approach for the system design and more updated component selection, which will be explained in this thesis. The designed DGAPs were built into prototypes and tested in household power outlets, experimentally validating their functionality.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2015-07-22 without embargo terms","The student, Yuqi Li, accepted the attached license on 2015-04-28 at 11:38.","The student, Yuqi Li, submitted this Thesis for approval on 2015-04-28 at 12:17.","This Thesis was approved for publication on 2015-04-30 at 10:08.","DSpace SAF Submission Ingestion Package generated from Vireo submission #8151 on 2015-07-22 at 10:34:24","Made available in DSpace on 2015-07-22T22:17:57Z (GMT). No. of bitstreams: 2 LI-THESIS-2015.pdf: 34548329 bytes, checksum: 2281c61c42a9bd740297bfc5cb99f2b7 (MD5) LICENSE.txt: 4204 bytes, checksum: ed0ec42f211fdd25bddfb50d83cd6296 (MD5) Previous issue date: 2015-04-30"],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/78524"],"dc:language":["en"],"dc:rights":["Copyright 2015 Yuqi Li"],"dc:subject":["Phasor Measurement Units (PMU)","Distributed Grid Analytics Platform (DGAP)","Power system measurement"],"dc:title":["Distributed Grid Analytics Platform (DGAP) for power grid monitoring at the distribution level"],"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":"2026-07-22T22:26:11Z"}