{"id":{"repo_id":"iupui","oai_identifier":"oai:scholarworks.indianapolis.iu.edu:1805/41166"},"canonical_url":"https://search.dev.ndltd.org/etd/iupui/oai:scholarworks.indianapolis.iu.edu:1805/41166","repository":{"repo_id":"iupui","name":"IUPUI","base_url":"https://scholarworks.indianapolis.iu.edu/server/oai/request"},"display":{"title":"Autonomous Detection of Nearby Loss of Generation Events for Decentralized Controls","abstract":"A broad scope of this dissertation is to verify that a nearby loss of generation event in power system can be distinguished from similar remote disturbances by analyzing the resulting local modes of oscillation. An oscillation-based index derived from methods like Fourier transform, sinc filters and resonant filters is devised and experimented in combination with a variant of df/dt index to jointly classify if a loss of generation event is nearby or remote. A phenomenon widely observed during a loss of generation event is the average decrease in the system’s frequency, typically monitored using the df/dt index. Under-frequency load-shedding (UFLS) relays that are based on df/dt are highly likely to trip for nearby frequency events when combined with the oscillation-based index we propose. Nearby in our context refers to geographical distance, which is correlated with electrical distance, and includes buses within about 50-100 miles of the event location.","abstract_html":"A broad scope of this dissertation is to verify that a nearby loss of generation event in power system can be distinguished from similar remote disturbances by analyzing the resulting local modes of oscillation. An oscillation-based index derived from methods like Fourier transform, sinc filters and resonant filters is devised and experimented in combination with a variant of df/dt index to jointly classify if a loss of generation event is nearby or remote. A phenomenon widely observed during a loss of generation event is the average decrease in the system’s frequency, typically monitored using the df/dt index. Under-frequency load-shedding (UFLS) relays that are based on df/dt are highly likely to trip for nearby frequency events when combined with the oscillation-based index we propose. Nearby in our context refers to geographical distance, which is correlated with electrical distance, and includes buses within about 50-100 miles of the event location.","abstract_has_math":false,"creators":["Dahal, Niraj"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Rovnyak, Steven"],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024-05","date_published":"2024-05","updated_at":"2026-07-24T02:40:13Z","subjects":["Autonomous detection","Location targeted under frequency load shedding (LT-UFLS)","Decentralized controls","Nearby loss of generation events","Local modes of oscillations"],"languages":["en_US"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://doi.org/10.7912/78DR-RH81"],"render_values":[{"text":"https://doi.org/10.7912/78DR-RH81","href":"https://doi.org/10.7912/78DR-RH81","code":true}]}]},"links":{"outbound_url":"https://hdl.handle.net/1805/41166","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Rovnyak, Steven"]},{"key":"dc:contributor.other","label":"Dc Contributor Other","values":["Li, Lingxi","Dos Santos, Euzeli","Lee, John"]},{"key":"dc:creator","label":"Author","values":["Dahal, Niraj"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2024-06-04T09:32:40Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2024-06-04T09:32:40Z"]},{"key":"dc:date.issued","label":"Date","values":["2024-05"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Autonomous detection","Location targeted under frequency load shedding (LT-UFLS)","Decentralized controls","Nearby loss of generation events","Local modes of oscillations"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en_US"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/1805/41166","https://doi.org/10.7912/78DR-RH81"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Indiana University-Purdue University Indianapolis (IUPUI)"]},{"key":"dc:description.abstract","label":"Abstract","values":["A broad scope of this dissertation is to verify that a nearby loss of generation event in power system can be distinguished from similar remote disturbances by analyzing the resulting local modes of oscillation. An oscillation-based index derived from methods like Fourier transform, sinc filters and resonant filters is devised and experimented in combination with a variant of df/dt index to jointly classify if a loss of generation event is nearby or remote. A phenomenon widely observed during a loss of generation event is the average decrease in the system’s frequency, typically monitored using the df/dt index. Under-frequency load-shedding (UFLS) relays that are based on df/dt are highly likely to trip for nearby frequency events when combined with the oscillation-based index we propose. Nearby in our context refers to geographical distance, which is correlated with electrical distance, and includes buses within about 50-100 miles of the event location."]},{"key":"dc:title","label":"Title","values":["Autonomous Detection of Nearby Loss of Generation Events for Decentralized Controls"]}]}],"canonical_facts":{"dc:contributor.advisor":["Rovnyak, Steven"],"dc:contributor.other":["Li, Lingxi","Dos Santos, Euzeli","Lee, John"],"dc:creator":["Dahal, Niraj"],"dc:date.accessioned":["2024-06-04T09:32:40Z"],"dc:date.available":["2024-06-04T09:32:40Z"],"dc:date.issued":["2024-05"],"dc:description":["Indiana University-Purdue University Indianapolis (IUPUI)"],"dc:description.abstract":["A broad scope of this dissertation is to verify that a nearby loss of generation event in power system can be distinguished from similar remote disturbances by analyzing the resulting local modes of oscillation. An oscillation-based index derived from methods like Fourier transform, sinc filters and resonant filters is devised and experimented in combination with a variant of df/dt index to jointly classify if a loss of generation event is nearby or remote. A phenomenon widely observed during a loss of generation event is the average decrease in the system’s frequency, typically monitored using the df/dt index. Under-frequency load-shedding (UFLS) relays that are based on df/dt are highly likely to trip for nearby frequency events when combined with the oscillation-based index we propose. Nearby in our context refers to geographical distance, which is correlated with electrical distance, and includes buses within about 50-100 miles of the event location."],"dc:identifier.uri":["https://hdl.handle.net/1805/41166","https://doi.org/10.7912/78DR-RH81"],"dc:language.iso":["en_US"],"dc:subject":["Autonomous detection","Location targeted under frequency load shedding (LT-UFLS)","Decentralized controls","Nearby loss of generation events","Local modes of oscillations"],"dc:title":["Autonomous Detection of Nearby Loss of Generation Events for Decentralized Controls"],"dc:type":["Thesis"]},"updated_at":"2026-07-24T02:40:13Z"}