{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/80955"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/80955","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"Distributed Consensus Based Control for Parallel DC Sources","abstract":"M.S.","abstract_html":"M.S.","abstract_has_math":false,"creators":["Samoei, Mary"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Herrera, Luis","Electrical Engineering"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-10-29T16:48:28Z","date_published":"2019-10-29T16:48:28Z","updated_at":"2026-07-27T19:05:28Z","subjects":["electrical engineering"],"languages":["eng"],"rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10477/80955","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Herrera, Luis","Electrical Engineering"]},{"key":"dc:creator","label":"Author","values":["Samoei, Mary"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-10-29T16:48:28Z","2019","2019-08-09 22:49:48"]},{"key":"dc:publisher","label":"Institution","values":["State University of New York at Buffalo"]},{"key":"dc:type","label":"Dc Type","values":["Text","Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["electrical engineering"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10477/80955"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["M.S.","High demand of electricity has led to increased growth of renewable energy aswell as advancement in power electronics technology. More dc microgrids are beingdeveloped for future energy systems, especially in remote locations where a main gridis not easily accessible. DC microgrids are power systems that integrate dierenttypes of distributed generators and loads. The key advantages of dc microgrids aretheir high eciency, exibility, and lower cost when transmitting power over longdistances. However, their reliability depends on the eciency of the microgrid controltechniques. There are many microgrid control techniques that have been used toensure good operations and stability of the system, and these control strategies aremainly achieved through voltage regulation and load power sharing.In this study, three levels of microgrid control methods are presented: primary,secondary, and tertiary control levels. Primary control which includes droop controlis used for output voltage regulation and load sharing. Consensus based secondarycontrol adjusts the voltage set point for local droop by utilizing consensus algorithmto estimate average voltage across the microgrid and the agents exchange informationwith neighboring agents through a sparse communication network. A pinning basedtertiary control is proposed to eliminate the need of transmitting global referencevoltages to each individual converter. MATLAB Simulink software is used to simulatethe three control methods and their simulation results are presented.","**To request an accessible version of the file(s) associated with this item, contact library@buffalo.edu. Please include the item's persistent URL [http://hdl.handle.net/. . .] in your request.**"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Distributed Consensus Based Control for Parallel DC Sources"]}]}],"canonical_facts":{"dc:contributor":["Herrera, Luis","Electrical Engineering"],"dc:creator":["Samoei, Mary"],"dc:date":["2019-10-29T16:48:28Z","2019","2019-08-09 22:49:48"],"dc:description":["M.S.","High demand of electricity has led to increased growth of renewable energy aswell as advancement in power electronics technology. More dc microgrids are beingdeveloped for future energy systems, especially in remote locations where a main gridis not easily accessible. DC microgrids are power systems that integrate dierenttypes of distributed generators and loads. The key advantages of dc microgrids aretheir high eciency, exibility, and lower cost when transmitting power over longdistances. However, their reliability depends on the eciency of the microgrid controltechniques. There are many microgrid control techniques that have been used toensure good operations and stability of the system, and these control strategies aremainly achieved through voltage regulation and load power sharing.In this study, three levels of microgrid control methods are presented: primary,secondary, and tertiary control levels. Primary control which includes droop controlis used for output voltage regulation and load sharing. Consensus based secondarycontrol adjusts the voltage set point for local droop by utilizing consensus algorithmto estimate average voltage across the microgrid and the agents exchange informationwith neighboring agents through a sparse communication network. A pinning basedtertiary control is proposed to eliminate the need of transmitting global referencevoltages to each individual converter. MATLAB Simulink software is used to simulatethe three control methods and their simulation results are presented.","**To request an accessible version of the file(s) associated with this item, contact library@buffalo.edu. Please include the item's persistent URL [http://hdl.handle.net/. . .] in your request.**"],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10477/80955"],"dc:language":["eng"],"dc:publisher":["State University of New York at Buffalo"],"dc:rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"dc:subject":["electrical engineering"],"dc:title":["Distributed Consensus Based Control for Parallel DC Sources"],"dc:type":["Text","Thesis"]},"updated_at":"2026-07-27T19:05:28Z"}