{"id":{"repo_id":"uic","oai_identifier":"oai:figshare.com:article/30426475"},"canonical_url":"https://search.dev.ndltd.org/etd/uic/oai:figshare.com:article/30426475","repository":{"repo_id":"uic","name":"University of Illinois - Chicago","base_url":"https://api.figshare.com/v2/oai"},"display":{"title":"Innovative Systemic Control of Grid-Edge Inverters in Distribution Grids for Enhanced Grid Services","abstract":"Distributed Energy Resources (DERs), particularly inverter-based energy resources, are critical for achieving decarbonized power systems. However, their stable integration into weak distribution networks presents significant challenges. To address these challenges, this thesis develops a comprehensive, multi-layered control framework that enhances the performance and resilience of grid-edge inverters. Specifically, it proposes an innovative systematic methodology to improve the grid services of grid-forming inverters, ensuring robust performance under complex grid conditions. This methodology demonstrates broad applicability across various grid-forming technologies and renewable energy plants, highlighting its scalability. Furthermore, a novel coordination strategy is developed to enable effective operation of inverter-based energy resources. To further strengthen system adaptability, AI-enhanced methods are incorporated to improve system resilience. These methods are validated to effectively improve the overall resilience and performance of modern distribution grids.","abstract_html":"Distributed Energy Resources (DERs), particularly inverter-based energy resources, are critical for achieving decarbonized power systems. However, their stable integration into weak distribution networks presents significant challenges. To address these challenges, this thesis develops a comprehensive, multi-layered control framework that enhances the performance and resilience of grid-edge inverters. Specifically, it proposes an innovative systematic methodology to improve the grid services of grid-forming inverters, ensuring robust performance under complex grid conditions. This methodology demonstrates broad applicability across various grid-forming technologies and renewable energy plants, highlighting its scalability. Furthermore, a novel coordination strategy is developed to enable effective operation of inverter-based energy resources. To further strengthen system adaptability, AI-enhanced methods are incorporated to improve system resilience. These methods are validated to effectively improve the overall resilience and performance of modern distribution grids.","abstract_has_math":false,"creators":["Shiwen Yu (3114294)"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-08-01T00:00:00Z","date_published":"2025-08-01T00:00:00Z","updated_at":"2026-07-27T21:35:00Z","subjects":["Renewable energy control"],"languages":[],"rights":["In Copyright","Open Access after 2027-09-01"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://doi.org/10.25417/uic.30426475.v1","outbound_label":"DOI","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Shiwen Yu (3114294)"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2025-08-01T00:00:00Z"]},{"key":"dc:relation","label":"Dc Relation","values":["https://figshare.com/articles/thesis/Innovative_Systemic_Control_of_Grid-Edge_Inverters_in_Distribution_Grids_for_Enhanced_Grid_Services/30426475"]},{"key":"dc:type","label":"Dc Type","values":["Text","Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Renewable energy control"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["In Copyright","Open Access after 2027-09-01"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["10.25417/uic.30426475.v1"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Distributed Energy Resources (DERs), particularly inverter-based energy resources, are critical for achieving decarbonized power systems. However, their stable integration into weak distribution networks presents significant challenges. To address these challenges, this thesis develops a comprehensive, multi-layered control framework that enhances the performance and resilience of grid-edge inverters. Specifically, it proposes an innovative systematic methodology to improve the grid services of grid-forming inverters, ensuring robust performance under complex grid conditions. This methodology demonstrates broad applicability across various grid-forming technologies and renewable energy plants, highlighting its scalability. Furthermore, a novel coordination strategy is developed to enable effective operation of inverter-based energy resources. To further strengthen system adaptability, AI-enhanced methods are incorporated to improve system resilience. These methods are validated to effectively improve the overall resilience and performance of modern distribution grids."]},{"key":"dc:title","label":"Title","values":["Innovative Systemic Control of Grid-Edge Inverters in Distribution Grids for Enhanced Grid Services"]}]}],"canonical_facts":{"dc:creator":["Shiwen Yu (3114294)"],"dc:date":["2025-08-01T00:00:00Z"],"dc:description":["Distributed Energy Resources (DERs), particularly inverter-based energy resources, are critical for achieving decarbonized power systems. However, their stable integration into weak distribution networks presents significant challenges. To address these challenges, this thesis develops a comprehensive, multi-layered control framework that enhances the performance and resilience of grid-edge inverters. Specifically, it proposes an innovative systematic methodology to improve the grid services of grid-forming inverters, ensuring robust performance under complex grid conditions. This methodology demonstrates broad applicability across various grid-forming technologies and renewable energy plants, highlighting its scalability. Furthermore, a novel coordination strategy is developed to enable effective operation of inverter-based energy resources. To further strengthen system adaptability, AI-enhanced methods are incorporated to improve system resilience. These methods are validated to effectively improve the overall resilience and performance of modern distribution grids."],"dc:identifier":["10.25417/uic.30426475.v1"],"dc:relation":["https://figshare.com/articles/thesis/Innovative_Systemic_Control_of_Grid-Edge_Inverters_in_Distribution_Grids_for_Enhanced_Grid_Services/30426475"],"dc:rights":["In Copyright","Open Access after 2027-09-01"],"dc:subject":["Renewable energy control"],"dc:title":["Innovative Systemic Control of Grid-Edge Inverters in Distribution Grids for Enhanced Grid Services"],"dc:type":["Text","Thesis"]},"updated_at":"2026-07-27T21:35:00Z"}